A method and system for monitoring fluid pressure

Abstract

The present invention discloses a fluid pressure monitoring method and system, which relates to the field of pressure monitoring technology. The method includes: determining a hydraulic circulation path and configuring a pressure sensing module, performing real-time pressure monitoring on the first, second and third hydraulic oil paths, and generating pressure distribution prediction information in combination with a hydraulic control module analysis; accurately identifying abnormal pressure distribution paths and features by comparing monitoring data with prediction information, and performing abnormal judgment and dynamic correction based on a reversible abnormal correction model, generating a correction hydraulic control signal, and implementing closed-loop control after inputting it into the hydraulic control module. The present invention solves the technical problem that it is difficult for existing hydraulic systems to accurately identify abnormal pressure distribution and perform real-time dynamic correction under complex working conditions, which affects the system's operating stability, and achieves the technical effect of accurately identifying abnormal pressure distribution and performing real-time dynamic correction through multi-path pressure monitoring and a reversible abnormal correction model, thereby improving the system's operating stability.

Description

Technical Field

[0001] The present invention relates to the technical field of pressure monitoring, and in particular to a fluid pressure monitoring method and system. Background Art

[0002] Hydraulic systems are widely used in industrial automation, engineering machinery, vehicle drive and other fields. With their efficient and reliable power transmission capabilities, they have become the core power device in complex working environments. However, the operating state of the hydraulic system is directly affected by the fluid pressure. Once the pressure is abnormal (such as excessive pressure, insufficient pressure or abnormal fluctuation), it may cause system performance to decline, and even cause equipment damage or safety accidents.

[0003] Existing hydraulic system monitoring methods usually achieve pressure monitoring through single-path or fixed-point pressure collection, but there are the following technical problems: on the one hand, single-path monitoring is difficult to fully cover the complex pressure distribution characteristics in the hydraulic system, resulting in low anomaly identification accuracy; on the other hand, the existing methods usually rely on static rules or simple feedback control to correct pressure anomalies, lacking dynamic analysis and reversible correction mechanisms for complex abnormal behaviors, resulting in insufficient correction accuracy. Especially under high load or dynamically changing working conditions, traditional methods are difficult to meet the real-time and accuracy requirements of hydraulic systems. Summary of the invention

[0004] The present application provides a fluid pressure monitoring method and system for solving the technical problem that the existing hydraulic system is difficult to accurately identify abnormal pressure distribution and perform real-time dynamic correction under complex working conditions, thereby affecting the stability of system operation.

[0005] In a first aspect of the present application, a fluid pressure monitoring method is provided, the method comprising: determining a hydraulic circulation path and configuring a pressure sensing module, wherein the hydraulic circulation path comprises a first hydraulic oil path, a second hydraulic oil path and a third hydraulic oil path connected in sequence; acquiring real-time driving task information, and inputting the information into a hydraulic control module for analysis, and outputting hydraulic control parameters and pressure distribution prediction information; performing pressure monitoring on the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path through the pressure sensing module to generate first pressure monitoring data, second pressure monitoring data and third pressure monitoring data; comparing the first pressure monitoring data, the second pressure monitoring data and the third pressure monitoring data with the pressure distribution prediction information, respectively, to identify abnormal pressure distribution paths and abnormal pressure characteristics; inputting a reversible abnormal correction model based on the abnormal pressure distribution path and the abnormal pressure characteristics to perform reversible judgment and correction of abnormal behavior, and outputting a correction hydraulic control signal; and inputting the correction hydraulic control signal into the hydraulic control module for correction control.

[0006] In a second aspect of the present application, a fluid pressure monitoring system is provided, the system comprising: a hydraulic circulation path determination module, the hydraulic circulation path determination module is used to determine the hydraulic circulation path and configure the pressure sensing module, wherein the hydraulic circulation path comprises a first hydraulic oil path, a second hydraulic oil path and a third hydraulic oil path connected in sequence; a hydraulic control analysis module, the hydraulic control analysis module is used to obtain real-time drive task information, and input it into the hydraulic control module for analysis, and output hydraulic control parameters and pressure distribution prediction information; a pressure monitoring module, the pressure monitoring module is used to monitor the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path through the pressure sensing module. The invention relates to a hydraulic pressure monitoring module, wherein the hydraulic pressure monitoring module comprises a first pressure monitoring data module, a second pressure monitoring data module and a third pressure monitoring data module; an abnormality identification module, wherein the first pressure monitoring data module, the second pressure monitoring data module and the third pressure monitoring data module are respectively used to compare the first pressure monitoring data module, the second pressure monitoring data module and the third pressure monitoring data with the pressure distribution prediction information, and identify the abnormal pressure distribution path and the abnormal pressure characteristics; a reversible correction module, wherein the reversible correction module is used to input a reversible abnormal correction model based on the abnormal pressure distribution path and the abnormal pressure characteristics to perform reversible judgment and correction of abnormal behavior, and output a correction hydraulic control signal; and a correction control module, wherein the correction control module is used to input the correction hydraulic control signal into the hydraulic control module for correction control.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] A fluid pressure monitoring method and system provided in the present application relate to the field of pressure monitoring technology. By configuring a pressure sensing module, real-time pressure monitoring of the hydraulic circulation path is performed, hydraulic control parameters and pressure prediction information are generated in combination with task information, abnormalities are identified and analyzed for the monitoring data, abnormal judgment and dynamic correction are completed based on a reversible abnormality correction model, and a corrected hydraulic control signal is output and input into a hydraulic control module to achieve accurate identification and closed-loop correction of hydraulic system abnormalities. The technical problem that it is difficult for existing hydraulic systems to accurately identify abnormal pressure distribution and perform real-time dynamic correction under complex working conditions, which affects the system's operating stability, is solved. The technical effect of accurately identifying abnormal pressure distribution and performing real-time dynamic correction through multi-path pressure monitoring and a reversible abnormality correction model is achieved, thereby improving the system's operating stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic diagram of a flow chart of a fluid pressure monitoring method provided in an embodiment of the present application;

[0011] Figure 2 A schematic diagram of the structure of a fluid pressure monitoring system provided in an embodiment of the present application.

[0012] Explanation of the reference numerals: hydraulic circulation path determination module 11 , hydraulic control analysis module 12 , pressure monitoring module 13 , abnormality identification module 14 , reversible correction module 15 , correction control module 16 . DETAILED DESCRIPTION

[0013] The present application provides a fluid pressure monitoring method and system for solving the technical problem that the existing hydraulic system is difficult to accurately identify abnormal pressure distribution and perform real-time dynamic correction under complex working conditions, thereby affecting the stability of system operation.

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0015] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0016] Embodiment 1, as Figure 1 As shown, the present application provides a fluid pressure monitoring method, the method comprising:

[0017] P10: Determine a hydraulic circulation path and configure a pressure sensing module, wherein the hydraulic circulation path includes a first hydraulic oil path, a second hydraulic oil path, and a third hydraulic oil path connected in sequence.

[0018] Among them, the first hydraulic oil path is the path from the hydraulic pump to the oil inlet of the actuator, the second hydraulic oil path is the path from the actuator to the starting point of the return oil pipeline, and the third hydraulic oil path is the path from the actuator return oil port to the oil tank. The fluid pressures on the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path decrease sequentially.

[0019] Optionally, in order to ensure the comprehensiveness and accuracy of pressure monitoring, it is necessary to first clarify the hydraulic circulation path and reasonably configure the pressure sensing module to achieve real-time pressure monitoring of the entire hydraulic circulation system. The hydraulic circulation path is the flow channel of the hydraulic oil in the hydraulic system, and its pressure distribution characteristics directly reflect the operating status and performance of the system.

[0020] The hydraulic circulation path includes the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path which are connected in sequence. These three paths together constitute a complete circuit of the hydraulic system. Among them, the first hydraulic oil path is the channel from the hydraulic pump to the oil inlet of the actuator. Its function is to deliver the high-pressure liquid output by the hydraulic pump to the actuator, providing the actuator with sufficient energy to drive the mechanical work. The pressure of this path is the highest, and usually a high-precision, high-range pressure sensor is required for real-time monitoring to prevent equipment damage due to pressure overload.

[0021] The second hydraulic oil path is the channel from the actuator to the starting point of the oil return line, carrying the hydraulic oil released after the actuator completes its work. The pressure of this path is between the first path and the third path, and mainly reflects the load change and working state of the actuator. Its pressure data is of great significance for evaluating the performance of the actuator and the stability of the system. Therefore, it is suitable to configure a mid-range sensor to dynamically capture pressure fluctuations.

[0022] The third hydraulic oil path is the channel from the actuator oil return port to the oil tank, which is responsible for returning the hydraulic oil discharged by the actuator to the oil tank to complete the cycle. The pressure in this section is the lowest, close to atmospheric pressure. A low-range pressure sensor is usually configured to detect whether the oil return path is unobstructed, and to monitor potential pipeline blockage or poor tank ventilation. In the entire hydraulic circulation path, the pressure of the hydraulic oil decreases in sequence. This pressure distribution characteristic is due to the gradual conversion of hydraulic energy into mechanical energy by the actuator and partial pressure loss in the pipeline.

[0023] By arranging appropriate pressure sensors at key locations on each path, the dynamic changes in pressure of the entire hydraulic system can be accurately captured, forming a complete data chain and providing reliable support for subsequent abnormality identification and system optimization.

[0024] P20: Obtain real-time driving task information, input it into the hydraulic control module for analysis, and output hydraulic control parameters and pressure distribution prediction information.

[0025] Furthermore, step P20 of the embodiment of the present application further includes:

[0026] P21: Analyze the real-time driving task information and determine the mechanical torque information of the hydraulic motor output shaft required to complete the real-time driving task; P22: Input the mechanical torque information into the hydraulic control module for fluid flow control analysis to generate the hydraulic control parameters; P23: Perform digital twin simulation with the hydraulic control parameters to generate the pressure distribution prediction information, wherein the pressure distribution prediction information includes the predicted fluid pressures corresponding to the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path, respectively.

[0027] It should be understood that by parsing real-time task information and combining the analytical capabilities of the hydraulic control module, the hydraulic control parameters and pressure distribution prediction information are output, laying the foundation for the efficient operation of the system.

[0028] First, the real-time driving task information of the roller device is received and parsed to extract the key data required for the task, including the required mechanical force and motion characteristics. Through task analysis, the mechanical torque information of the hydraulic motor output shaft is further determined. The mechanical torque information is the torque requirement that the hydraulic motor needs to output when the task is executed, which directly reflects the energy requirement required by the actuator to complete the task. This step can use an efficient task analysis algorithm to ensure that the task requirements are accurately matched with the output capacity of the hydraulic system, thereby providing a data basis for subsequent hydraulic system control.

[0029] After the analysis is completed, the mechanical torque information is input into the hydraulic control module, and the system performs fluid flow control analysis based on it. The hydraulic control module uses the built-in control algorithm and the characteristic model of the hydraulic system to comprehensively analyze the flow demand of the hydraulic pump, the opening of the pressure regulating valve, and the load of the fluid path to generate hydraulic control parameters. The hydraulic control parameters include the set values ​​of fluid pressure and flow, as well as the action instructions of related control components. This step can utilize the dynamic characteristics and control laws of the hydraulic system to ensure that the liquid supply can accurately meet the mechanical torque requirements in terms of pressure, flow and dynamic response.

[0030] After generating the hydraulic control parameters, the digital twin technology is further used to simulate the operating status of the hydraulic system. Digital twin is a virtual model based on the actual physical system. It simulates the dynamic operation process of the hydraulic system in task execution through real-time data drive. According to the input hydraulic control parameters, the digital twin simulation generates the pressure distribution prediction information of the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path. The pressure distribution prediction information includes the predicted fluid pressure value of each path, which can reflect the pressure fluctuations or anomalies that may occur in the actual operation of the hydraulic system in advance. This simulation provides a scientific basis for subsequent anomaly detection and control optimization, which can significantly improve the prediction ability and response efficiency of the system.

[0031] Through the above steps, it is possible to obtain hydraulic demand from real-time task information, generate reasonable control parameters, and realize early perception of system status through pressure distribution prediction, thereby ensuring the efficient operation and stability of the hydraulic motor-driven roller device.

[0032] P30: The pressure sensing module is used to monitor the pressure of the first hydraulic oil path, the second hydraulic oil path, and the third hydraulic oil path to generate first pressure monitoring data, second pressure monitoring data, and third pressure monitoring data.

[0033] Specifically, during the operation of the hydraulic system, pressure monitoring is an important part of ensuring system stability and detecting potential anomalies. Through the configured pressure sensing module, real-time pressure monitoring of key paths in the hydraulic system is performed, and pressure monitoring data of multiple paths is generated, providing accurate data support for system operation analysis.

[0034] Specifically, pressure monitoring covers the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path, which respectively carry out the key tasks of hydraulic pump energy supply, actuator return and oil return to the tank.

[0035] Among them, the first hydraulic oil path is the path from the hydraulic pump to the actuator oil inlet, with the highest pressure value, which directly reflects the output capacity of the hydraulic pump and the energy supply status of the hydraulic oil. In order to monitor the high-pressure dynamic changes in this path, the pressure sensing module uses a high-range, high-sensitivity sensor that can quickly respond to pressure fluctuations and ensure the safety and stability of the hydraulic pump when running under high load. The first pressure monitoring data generated in real time reflects the energy supply status of the hydraulic system and provides a basis for adjusting the control parameters.

[0036] The second hydraulic oil path is the path from the actuator to the start of the return oil line, and its pressure value is between the first path and the third path. This path reflects the workload changes of the actuator and the state of the hydraulic oil after completing the task. In order to capture dynamic pressure fluctuations, the pressure sensing module is equipped with a mid-range sensor, taking into account both accuracy and range, and generates the second pressure monitoring data in real time. These data can reveal the dynamic changes in the performance of the actuator and the stability of the return pressure, and are key indicators for evaluating the working status of the actuator.

[0037] The third hydraulic oil path is the path from the actuator return port to the oil tank. Its pressure value is the lowest, close to atmospheric pressure, and is mainly used to monitor the return of hydraulic oil and the smoothness of the pipeline. Low-range pressure sensors are widely used in this path to generate third pressure monitoring data in real time to detect possible pipeline blockage or tank ventilation problems. These data are critical to maintaining the closed-loop stability of the hydraulic system.

[0038] By arranging pressure sensing modules at key positions of each path, pressure monitoring data of the three paths can be collected and generated in real time. These data provide an accurate dynamic basis for pressure distribution analysis, abnormality identification and system optimization, ensuring the efficient and stable operation of the hydraulic motor driven roller device.

[0039] P40: respectively compare the first pressure monitoring data, the second pressure monitoring data, and the third pressure monitoring data with the pressure distribution prediction information to identify abnormal pressure distribution paths and abnormal pressure characteristics.

[0040] Optionally, the pressure monitoring data is compared with the pressure distribution prediction information to identify possible abnormal paths and abnormal pressure characteristics in the hydraulic system. Through data comparison and analysis, the stability and reliability of the hydraulic system in operation are ensured, and a basis is provided for subsequent abnormal correction.

[0041] Specifically, the first pressure monitoring data, the second pressure monitoring data and the third pressure monitoring data are compared with the pressure distribution prediction information one by one. Among them, the first pressure monitoring data mainly reflects the pressure state of the energy supply path from the hydraulic pump to the actuator, and its pressure value is usually high. If the monitoring data is significantly lower than the prediction information, it may indicate insufficient energy supply of the hydraulic pump or pipeline blockage; if it is significantly higher than the prediction information, there may be a risk of failure or overload of the pressure regulating valve.

[0042] The second pressure monitoring data reflects the pressure reflux characteristics generated during the operation of the actuator. By comparing with the predicted information, pressure changes caused by load fluctuations or abnormal actuator performance can be identified. For example, a high pressure value may indicate an abnormal increase in actuator resistance, while a low pressure value may indicate a decrease in actuator efficiency or a leakage problem.

[0043] The third pressure monitoring data corresponds to the pressure state of the oil return path, which is usually close to atmospheric pressure. If the monitoring data deviates from the predicted information, it may indicate that the oil return line is blocked or the oil tank is not ventilated smoothly. By comparing the data of this path, the system can quickly detect circuit abnormalities and prevent the hydraulic oil circulation from being blocked.

[0044] After comparative analysis, the abnormal pressure distribution paths in the pressure monitoring data that are significantly different from the predicted information can be identified based on the comparison results, and the corresponding abnormal pressure features can be extracted. The abnormal pressure features include excessive pressure, low pressure, abnormal pressure fluctuations, etc., which can reflect the specific problem types in the hydraulic system. Through this process, the system not only achieves accurate positioning of abnormal paths, but also provides clear input information for subsequent correction and optimization.

[0045] P50: Based on the abnormal pressure distribution path and the abnormal pressure characteristics, a reversible abnormal correction model is input to perform reversible judgment and correction of abnormal behavior, and a correction hydraulic control signal is output.

[0046] Furthermore, step P50 of the embodiment of the present application also includes:

[0047] P51: Construct the reversible abnormality correction model, wherein the reversible abnormality correction model includes multiple reversible abnormality correction channels, and any reversible abnormality correction channel includes a reversible discriminator and an abnormality corrector; P52: Match the target reversible discriminator and the target abnormality corrector corresponding to the target reversible abnormality correction channel in the multiple reversible abnormality correction channels based on the real-time driving task information; P53: Input the abnormal pressure distribution path and the abnormal pressure characteristics into the target reversible discriminator for judgment, and generate a reversible judgment result; P54: If the reversible judgment result is reversible, input the abnormal pressure distribution path and the abnormal pressure characteristics into the target abnormality corrector for abnormal pressure correction analysis, and generate the corrected hydraulic control signal.

[0048] It should be understood that by analyzing the abnormal pressure distribution path and the abnormal pressure characteristics, the reversible abnormal correction model is used to reversibly judge and correct the abnormal behavior, and generate a corrected hydraulic control signal to ensure the stable operation of the system.

[0049] First, a reversible anomaly correction model is constructed. This model consists of multiple reversible anomaly correction channels, each of which is independently designed for different types of abnormal features. Each channel includes two core components: a reversible discriminator and anomaly corrector. Among them, the reversible discriminator is responsible for judging the input abnormal features and analyzing whether the abnormality can be corrected to restore the normal operation of the system; the anomaly corrector corrects the anomaly according to the judgment result and outputs a correction control signal. The multi-channel design ensures that the model can accurately analyze and dynamically process the complex and diverse abnormal features of the hydraulic system.

[0050] Next, based on the real-time driving task information, the corresponding modules of the target channel are matched from multiple correction channels. Specifically, the real-time driving task information includes the task load characteristics and operating status of the current hydraulic system. This information is used to select the target reversible discriminator and target abnormality corrector suitable for the current abnormal situation to ensure the accuracy and efficiency of the correction model.

[0051] After the matching is completed, the abnormal pressure distribution path and abnormal pressure characteristics are input into the target reversible discriminator for judgment. The reversible discriminator classifies the abnormality through an algorithm model (such as a machine learning algorithm or a rule-based discrimination logic) to generate a reversible judgment result. If the judgment result is "reversible", that is, the abnormal pressure characteristics can be restored through correction, then the next correction stage is entered; otherwise, the system will trigger other mechanisms for further processing.

[0052] If the reversible judgment result is reversible, the abnormal pressure distribution path and characteristics are input into the target abnormality corrector. The abnormality corrector uses a correction algorithm (such as a feedback control algorithm or a correction mechanism based on reinforcement learning) to analyze the abnormality, formulate a correction strategy and generate a correction hydraulic control signal. This signal directly acts on the control module of the hydraulic system and can restore the normal operation of the system by adjusting the hydraulic pump flow, valve opening or path allocation.

[0053] Through the above steps, accurate identification and dynamic correction of hydraulic system anomalies can be achieved, especially through the multi-channel design of the reversible anomaly correction model, which ensures efficient response capabilities under complex operating environments. At the same time, this mechanism can adapt to the diverse task requirements of the hydraulic motor-driven roller device, significantly improving the stability and operational reliability of the hydraulic system.

[0054] Furthermore, step P51 of the embodiment of the present application further includes:

[0055] P51-1: Based on the historical hydraulic control database, the first normal fluid pressure distribution information, multiple first abnormal fluid pressure distribution information and multiple first abnormal pressure correction parameters corresponding to the first hydraulic drive condition are collected, wherein the multiple first abnormal fluid pressure distribution information has a reversible mark; P51-2: With the first normal fluid pressure distribution information as a reference, the multiple first abnormal fluid pressure distribution information is subjected to abnormal association identification of the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path, and multiple three-way abnormal association vectors are generated; P51-3: In combination with the reversible mark, a first reversible discriminator is constructed with the multiple three-way abnormal association vectors; P51-4: A first abnormal corrector is constructed with the multiple three-way abnormal association vectors and the multiple first abnormal pressure correction parameters; P51-5: The first reversible discriminator and the first abnormal corrector form a first reversible abnormal correction channel, and so on, multiple reversible abnormal correction channels corresponding to multiple hydraulic drive conditions are established to generate the reversible abnormal correction model.

[0056] In a possible embodiment of the present application, in the construction of the hydraulic system abnormality correction model, the core components of the reversible abnormality correction model can be systematically designed based on the historical hydraulic control database, including an abnormality discriminator and an abnormality corrector, and finally a reversible abnormality correction channel adaptable to multiple working conditions is constructed to ensure that the hydraulic system has efficient abnormality identification and correction capabilities under complex operating conditions.

[0057] First, collect and organize the historical data of the hydraulic system. By accessing the historical hydraulic control database, extract the key data corresponding to the first hydraulic drive condition, including the first normal fluid pressure distribution information, multiple first abnormal fluid pressure distribution information marked as reversible, and related first abnormal pressure correction parameters. Among them, the abnormal fluid pressure distribution information is marked as reversible through the system operation record, indicating that these anomalies have the possibility of recovery through correction. This step lays the data foundation for subsequent model training and ensures that the model design fits the actual operation scenario.

[0058] Based on the data, with the normal fluid pressure distribution information as a reference, multiple abnormal fluid pressure distribution information is deeply analyzed. Specifically, by comparing the abnormal features of the first hydraulic oil path, the second hydraulic oil path, and the third hydraulic oil path, abnormal association identification is performed to generate multiple three-way abnormal association vectors. These vectors describe the association pattern of abnormal pressure in the hydraulic path, such as abnormal pressure propagation path, abnormal intensity distribution, etc., providing accurate feature representation for the construction of subsequent models.

[0059] Next, the first reversible discriminator is constructed by combining the reversibility mark in the data and taking the generated three-way abnormal association vector as input. The first reversible discriminator forms a discrimination rule by learning the difference between normal and abnormal pressure distribution and the associated features of the abnormality, and can quickly identify whether the abnormality is reversible. The discriminator design can adopt machine learning algorithms (such as support vector machines or decision trees) or rule-based discrimination logic to ensure accurate identification of abnormal types.

[0060] Furthermore, the first abnormality corrector is constructed by using the three-way abnormal correlation vector and the first abnormal pressure correction parameter. The corrector is trained with correction parameters in historical data to master the adjustment rules of abnormal pressure and form a targeted correction strategy. The core of the corrector is to simulate the dynamic response process of abnormal pressure and generate corresponding correction control signals to ensure that the correction signal is both efficient and safe.

[0061] Finally, the constructed first reversible discriminator and the first anomaly corrector are integrated into the first reversible anomaly correction channel. Similarly, the above process is repeated for the historical data of different hydraulic drive conditions, and multiple corresponding reversible anomaly correction channels are gradually established, and finally a complete reversible anomaly correction model is generated. This model adapts to different hydraulic conditions with a multi-channel structure, has flexibility and high coverage, and can cope with complex and changing operating environments.

[0062] Through this series of steps, the design and construction of the reversible anomaly correction model was completed. With the support of historical data, the model can accurately identify and efficiently correct anomalies, improve the stability and reliability of the hydraulic system operation, and provide a solid guarantee for the long-term and efficient operation of the hydraulic motor driven roller device.

[0063] Furthermore, the embodiment of the present application further includes step P54a, and step P54a further includes:

[0064] P54-1a: If the reversible judgment result is irreversible, a limit stop control signal is generated; P54-2a: The limit stop control signal is sent to the hydraulic control module for limit stop control, and an irreversible abnormality reminder signal is issued at the same time.

[0065] Optionally, for abnormal conditions determined to be irreversible, protective measures need to be taken quickly to avoid further damage. Exemplarily, the irreversible abnormality can be promptly responded to and processed through a limited stop control mechanism to ensure the safety and stability of the hydraulic system.

[0066] First, when the reversible discriminator of the reversible anomaly correction model outputs the judgment result of "irreversible", the system immediately generates a limit stop control signal. The limit stop control signal is a control instruction specially designed for hydraulic system protection. It is used to quickly reduce the operating load of the hydraulic system, or directly stop the power supply of the hydraulic pump when necessary, so as to avoid further deterioration of the anomaly. The generation of the limit stop control signal depends on the rapid capture of irreversible anomaly characteristics, such as pressure exceeding the safety range, pipeline leakage risk or actuator failure.

[0067] Subsequently, the generated stop limit control signal is sent to the hydraulic control module. The hydraulic control module starts the stop limit control process by receiving the signal, and performs an orderly shutdown or partial function restriction on the hydraulic system. For example, the system can be ensured to enter a safe state by reducing the output flow of the hydraulic pump, closing the pressure regulating valve, or cutting off part of the hydraulic path. At the same time, the system synchronously sends out an irreversible abnormality reminder signal, and sends an alarm to the operation and maintenance personnel in the form of an alarm light, a buzzer, or information push. The irreversible abnormality reminder signal is designed to attract the operator's timely attention, prompting him to intervene manually or arrange further maintenance and inspection.

[0068] The implementation of this limited stop control mechanism, combined with quick judgment and effective shutdown strategy, can protect the hydraulic system to the greatest extent when irreversible abnormalities occur, avoiding equipment damage or safety accidents. By clearly handling irreversible abnormalities, the hydraulic system not only realizes intelligent operation, but also improves its adaptability to extreme working conditions, providing reliable guarantee for the long-term stable operation of the system.

[0069] P60: Input the corrected hydraulic control signal into the hydraulic control module for corrective control.

[0070] Specifically, by inputting the correction hydraulic control signal into the hydraulic control module, the abnormal state is corrected in real time to ensure that the system returns to a normal working state and maintains stable operation.

[0071] Specifically, the corrected hydraulic control signal is generated by the target abnormality corrector based on the abnormal pressure characteristics in the previous step. This signal contains detailed control parameters, such as the flow adjustment value output by the hydraulic pump, the opening adjustment amount of the pressure regulating valve, and the switching instructions of the hydraulic path, etc. These parameters, combined with the real-time operating status of the hydraulic system, can accurately guide the hydraulic control module to implement dynamic adjustments.

[0072] When the hydraulic control module receives the correction signal, it immediately starts the correction control process. The control logic built into the module will analyze the signal content and adjust the key components of the hydraulic system. For example, if the correction signal indicates that the hydraulic pump needs to reduce the output pressure, the hydraulic control module will quickly reduce the pressure by adjusting the pump speed or switching the bypass valve path, thereby correcting the abnormal state of the first hydraulic oil path; if the signal requires an increase in the flow supply of the actuator, the module will dynamically adjust the opening of the pressure regulating valve to optimize the pressure distribution of the second hydraulic oil path.

[0073] In addition, to ensure the accuracy and safety of the correction process, the hydraulic control module monitors the correction execution effect in real time and records the pressure changes and system response status after correction. These data will be fed back to the system main control unit and compared with the correction target value. Once it is found that the correction effect does not meet expectations, the hydraulic control module will make secondary adjustments according to the instructions of the correction signal until the system is completely restored to normal.

[0074] By inputting the correction hydraulic control signal into the hydraulic control module and performing closed-loop control, efficient correction of abnormal pressure can be achieved. Relying on the accuracy of the correction signal and the dynamic response capability of the hydraulic control module, the hydraulic system can not only quickly restore the working state, but also accumulate data during the correction process, providing valuable experience for subsequent abnormal prevention and control optimization.

[0075] Furthermore, the embodiment of the present application further includes step P70, and step P70 further includes:

[0076] P71: The hydraulic circulation path also includes a safety valve bypass path, wherein the safety valve bypass path is a path from the hydraulic pump outlet through the safety valve back to the oil tank; P72: Perform fluid pressure monitoring on the safety valve bypass path to generate fourth pressure monitoring data; P73: Optimize the abnormal pressure distribution path and abnormal pressure characteristics based on the fourth pressure monitoring data.

[0077] Optionally, by introducing fluid pressure monitoring and analysis of the safety valve bypass path, additional support and guarantee can be provided for system abnormality identification and optimization, thereby enhancing the reliability and safety of system operation.

[0078] First, the hydraulic circulation path also includes a safety valve bypass path. This path is connected from the hydraulic pump outlet to the safety valve, and then returns to the oil tank from the safety valve, forming a bypass path independent of the main circulation. The safety valve bypass path is designed to deal with system abnormalities, especially when the hydraulic system pressure exceeds the set threshold (usually 15-20MPa or higher), the hydraulic oil will flow back to the oil tank through the safety valve bypass path to avoid damage to the system due to overpressure. This path is only enabled when the hydraulic system is abnormal, and it is usually kept closed, so its status can directly reflect the safe operation of the hydraulic system.

[0079] On this basis, the bypass path of the safety valve is monitored for fluid pressure. By arranging pressure sensing modules at key positions of the path, the fluid pressure data of the bypass path is collected in real time to generate the fourth pressure monitoring data. This data can record the dynamic changes in pressure when the safety valve is opened, and reflect whether there are abnormal pressure distribution and abnormal fluid behavior in the system. The working state of the safety valve is closely related to the changes in system pressure. Therefore, the fourth pressure monitoring data provides an important auxiliary judgment basis for abnormal diagnosis and system correction.

[0080] Finally, based on the fourth pressure monitoring data, the abnormal pressure distribution path and abnormal pressure characteristics identified in the previous step are optimized. Since the safety valve bypass path is only enabled under abnormal conditions, its pressure data can be used to verify the abnormal pressure characteristics in the main circulation path. For example, when the bypass path pressure increases, it can be further confirmed whether there is an overpressure phenomenon in the main path, and the accuracy and reliability of abnormal discrimination can be optimized through a comprehensive analysis of abnormal characteristics. This optimization process effectively avoids the possible misjudgment problem of single path monitoring, making abnormal identification more comprehensive and accurate.

[0081] By introducing pressure monitoring of the safety valve bypass path, the hydraulic system can be more robust in abnormality identification and diagnosis, improving the ability to perceive and handle abnormal conditions under complex working conditions. At the same time, it also provides more reliable data support for the precise correction of hydraulic control signals, providing double protection for the safety and stability of the system.

[0082] In summary, the embodiments of the present application have at least the following technical effects:

[0083] The present application determines the hydraulic circulation path and configures the pressure sensing module to perform real-time pressure monitoring on the first, second and third hydraulic oil paths, and generates pressure distribution prediction information in combination with the hydraulic control module analysis; by comparing the monitoring data with the prediction information, the abnormal pressure distribution path and characteristics are accurately identified, and abnormal judgment and dynamic correction are performed based on the reversible abnormal correction model, and a corrected hydraulic control signal is generated. After inputting the signal into the hydraulic control module, closed-loop control is implemented to ensure the operating stability of the hydraulic system and the efficiency of abnormality handling.

[0084] The technical effect of accurately identifying abnormal pressure distribution and making real-time dynamic corrections through multi-path pressure monitoring and reversible anomaly correction models has been achieved, thereby improving the operating stability of the system.

[0085] Embodiment 2 is based on the same inventive concept as a fluid pressure monitoring method in the above embodiment. Figure 2 As shown, the present application provides a fluid pressure monitoring system, and the system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0086] The hydraulic circulation path determination module 11 is used to determine the hydraulic circulation path and configure the pressure sensing module, wherein the hydraulic circulation path includes a first hydraulic oil path, a second hydraulic oil path and a third hydraulic oil path connected in sequence.

[0087] The hydraulic control analysis module 12 is used to obtain real-time driving task information, input it into the hydraulic control module for analysis, and output hydraulic control parameters and pressure distribution prediction information.

[0088] The pressure monitoring module 13 is used to monitor the pressure of the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path through the pressure sensing module to generate first pressure monitoring data, second pressure monitoring data and third pressure monitoring data.

[0089] The abnormality identification module 14 is used to compare the first pressure monitoring data, the second pressure monitoring data, and the third pressure monitoring data with the pressure distribution prediction information, and identify abnormal pressure distribution paths and abnormal pressure characteristics.

[0090] The reversible correction module 15 is used to input a reversible abnormal correction model based on the abnormal pressure distribution path and the abnormal pressure characteristics to perform reversible judgment and correction of abnormal behavior, and output a correction hydraulic control signal.

[0091] The correction control module 16 is used to input the correction hydraulic control signal into the hydraulic control module for correction control.

[0092] Furthermore, the hydraulic circulation path determination module 11 is also used to perform the following steps:

[0093] Among them, the first hydraulic oil path is the path from the hydraulic pump to the oil inlet of the actuator, the second hydraulic oil path is the path from the actuator to the starting point of the return oil pipeline, and the third hydraulic oil path is the path from the actuator return oil port to the oil tank. The fluid pressures on the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path decrease sequentially.

[0094] Furthermore, the hydraulic control analysis module 12 is further configured to perform the following steps:

[0095] Analyze the real-time driving task information to determine the mechanical torque information of the hydraulic motor output shaft required to complete the real-time driving task; input the mechanical torque information into the hydraulic control module for fluid flow control analysis to generate the hydraulic control parameters; perform digital twin simulation with the hydraulic control parameters to generate the pressure distribution prediction information, wherein the pressure distribution prediction information includes the predicted fluid pressures corresponding to the first hydraulic oil path, the second hydraulic oil path, and the third hydraulic oil path, respectively.

[0096] Furthermore, the reversible correction module 15 is further configured to perform the following steps:

[0097] Construct the reversible abnormality correction model, wherein the reversible abnormality correction model includes multiple reversible abnormality correction channels, and any reversible abnormality correction channel includes a reversible discriminator and an abnormality corrector; match the target reversible discriminator and target abnormality corrector corresponding to the target reversible abnormality correction channel in the multiple reversible abnormality correction channels based on the real-time driving task information; input the abnormal pressure distribution path and the abnormal pressure characteristics into the target reversible discriminator for judgment, and generate a reversible judgment result; if the reversible judgment result is reversible, input the abnormal pressure distribution path and the abnormal pressure characteristics into the target abnormality corrector for abnormal pressure correction analysis, and generate the corrected hydraulic control signal.

[0098] Furthermore, the reversible correction module 15 is further configured to perform the following steps:

[0099] Based on the historical hydraulic control database, first normal fluid pressure distribution information, multiple first abnormal fluid pressure distribution information and multiple first abnormal pressure correction parameters corresponding to the first hydraulic drive working condition are collected, wherein the multiple first abnormal fluid pressure distribution information has a reversible mark; with the first normal fluid pressure distribution information as a reference, the multiple first abnormal fluid pressure distribution information is subjected to abnormal association identification of the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path, and multiple three-way abnormal association vectors are generated; in combination with the reversible mark, a first reversible discriminator is constructed with the multiple three-way abnormal association vectors; in combination with the multiple three-way abnormal association vectors and the multiple first abnormal pressure correction parameters, a first abnormal corrector is constructed; the first reversible discriminator and the first abnormal corrector form a first reversible abnormal correction channel, and so on, multiple reversible abnormal correction channels corresponding to multiple hydraulic drive working conditions are established to generate the reversible abnormal correction model.

[0100] Furthermore, the reversible correction module 15 is further configured to perform the following steps:

[0101] If the reversible judgment result is irreversible, a limit stop control signal is generated; the limit stop control signal is sent to the hydraulic control module for limit stop control, and an irreversible abnormality reminder signal is issued at the same time.

[0102] Furthermore, the system also includes:

[0103] A safety valve bypass path monitoring module is used to monitor the fluid pressure of the safety valve bypass path and generate fourth pressure monitoring data; based on the fourth pressure monitoring data, the abnormal pressure distribution path and abnormal pressure characteristics are optimized. The hydraulic circulation path also includes a safety valve bypass path, which is a path from the hydraulic pump outlet through the safety valve back to the oil tank.

[0104] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0105] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0106] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A fluid pressure monitoring method, characterized in that: include: Determine a hydraulic circulation path and configure a pressure sensing module, wherein the hydraulic circulation path includes a first hydraulic oil path, a second hydraulic oil path, and a third hydraulic oil path connected in sequence; Acquire real-time driving task information, input it into the hydraulic control module for analysis, and output hydraulic control parameters and pressure distribution prediction information; Performing pressure monitoring on the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path through the pressure sensing module to generate first pressure monitoring data, second pressure monitoring data and third pressure monitoring data; Respectively comparing the first pressure monitoring data, the second pressure monitoring data, and the third pressure monitoring data with the pressure distribution prediction information to identify abnormal pressure distribution paths and abnormal pressure characteristics; Based on the abnormal pressure distribution path and the abnormal pressure characteristics, a reversible abnormal correction model is input to perform reversible judgment and correction of abnormal behavior, and a correction hydraulic control signal is output; inputting the corrected hydraulic control signal into the hydraulic control module for corrective control; Based on a historical hydraulic control database, first normal fluid pressure distribution information, a plurality of first abnormal fluid pressure distribution information and a plurality of first abnormal pressure correction parameters corresponding to a first hydraulic driving condition are collected, wherein the plurality of first abnormal fluid pressure distribution information has a reversibility mark; Taking the first normal fluid pressure distribution information as a reference, performing abnormal association identification of the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path on the plurality of first abnormal fluid pressure distribution information, and generating a plurality of three-path abnormal association vectors; In combination with the reversibility mark, a first reversible discriminator is constructed with the plurality of three-way abnormal association vectors; Combining the plurality of three-way anomaly association vectors and the plurality of first anomaly pressure correction parameters, constructing a first anomaly corrector; The first reversible discriminator and the first abnormality corrector form a first reversible abnormality correction channel, and so on, multiple reversible abnormality correction channels corresponding to multiple hydraulic drive conditions are established to generate the reversible abnormality correction model.

2. A fluid pressure monitoring method as claimed in claim 1, characterized in that: in, The first hydraulic oil path is the path from the hydraulic pump to the oil inlet of the actuator, the second hydraulic oil path is the path from the actuator to the starting point of the return oil pipeline, and the third hydraulic oil path is the path from the actuator return oil port to the oil tank. The fluid pressures on the first hydraulic oil path, the second hydraulic oil path, and the third hydraulic oil path decrease sequentially.

3. A fluid pressure monitoring method as claimed in claim 1, characterized in that: Based on the abnormal pressure distribution path and the abnormal pressure characteristics, a reversible abnormal correction model is input to perform reversible judgment and correction of abnormal behavior, and a correction hydraulic control signal is output, including: Constructing the reversible anomaly correction model, wherein the reversible anomaly correction model includes a plurality of reversible anomaly correction channels, and any reversible anomaly correction channel includes a reversible discriminator and an anomaly corrector; Matching a target reversible discriminator and a target anomaly corrector corresponding to a target reversible anomaly correction channel in the plurality of reversible anomaly correction channels based on the real-time driving task information; Inputting the abnormal pressure distribution path and the abnormal pressure feature into the target reversible discriminator for judgment, and generating a reversible judgment result; If the reversibility judgment result is reversible, the abnormal pressure distribution path and the abnormal pressure characteristics are input into the target abnormality corrector to perform abnormal pressure correction analysis to generate the corrected hydraulic pressure control signal.

4. A fluid pressure monitoring method as claimed in claim 3, characterized in that: Also includes: If the reversible judgment result is irreversible, generating a limit stop control signal; The limit stop control signal is sent to the hydraulic control module for limit stop control, and an irreversible abnormality reminder signal is issued at the same time.

5. A fluid pressure monitoring method as claimed in claim 1, characterized in that: Acquire real-time driving task information and input it into the hydraulic control module for analysis, outputting hydraulic control parameters and pressure distribution prediction information, including: Parsing the real-time driving task information to determine the mechanical torque information of the hydraulic motor output shaft required to complete the real-time driving task; Inputting the mechanical torque information into the hydraulic control module to perform fluid flow control analysis and generate the hydraulic control parameters; Digital twin simulation is performed with the hydraulic control parameters to generate the pressure distribution prediction information, wherein the pressure distribution prediction information includes the predicted fluid pressures corresponding to the first hydraulic oil path, the second hydraulic oil path, and the third hydraulic oil path, respectively.

6. A fluid pressure monitoring method as claimed in claim 1, characterized in that: The hydraulic circulation path also includes a safety valve bypass path, wherein the safety valve bypass path is a path from the hydraulic pump outlet through the safety valve back to the oil tank; Performing fluid pressure monitoring on the bypass path of the safety valve to generate fourth pressure monitoring data; The abnormal pressure distribution path and the abnormal pressure characteristics are optimized based on the fourth pressure monitoring data.

7. A fluid pressure monitoring system, characterized in that: The system is used to perform a fluid pressure monitoring method according to any one of claims 1 to 6, and the system comprises: A hydraulic circulation path determination module, the hydraulic circulation path determination module is used to determine the hydraulic circulation path and configure the pressure sensing module, wherein the hydraulic circulation path includes a first hydraulic oil path, a second hydraulic oil path and a third hydraulic oil path connected in sequence; A hydraulic control analysis module, which is used to obtain real-time driving task information, input it into the hydraulic control module for analysis, and output hydraulic control parameters and pressure distribution prediction information; A pressure monitoring module, the pressure monitoring module is used to monitor the pressure of the first hydraulic oil path, the second hydraulic oil path and the third hydraulic oil path through the pressure sensing module, and generate first pressure monitoring data, second pressure monitoring data and third pressure monitoring data; an abnormality identification module, the abnormality identification module is used to compare the first pressure monitoring data, the second pressure monitoring data, the third pressure monitoring data with the pressure distribution prediction information, and identify abnormal pressure distribution paths and abnormal pressure characteristics; A reversible correction module, the reversible correction module is used to perform reversible judgment and correction of abnormal behavior based on the abnormal pressure distribution path and the abnormal pressure characteristics input into a reversible abnormal correction model, and output a correction hydraulic control signal; A correction control module is used to input the correction hydraulic control signal into the hydraulic control module for correction control.

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