Hydraulic control system and method for port equipment

Abstract

The present invention relates to a hydraulic control system and method for port equipment, and relates to the technical field of mechanical hydraulic control, including: an analysis module, which is used to receive and process parameter data from an intelligent perception module to obtain analysis results; a decision control unit, which is used to formulate a control strategy according to the analysis results to generate control instructions; a monitoring module, which is used to receive control instructions, adjust the working state of the hydraulic system according to the control instructions, monitor the execution process data of the hydraulic system in real time, and transmit the execution process data to the decision control unit; a fault diagnosis module, which is used to receive the execution process data from the monitoring module and perform fault diagnosis. The present invention reduces energy consumption and maintenance costs through highly intelligent hydraulic working condition control, while enhancing the safety and reliability of port operations.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical hydraulic control, and in particular to a hydraulic control system and method for port equipment. Background Art

[0002] In modern port operations, hydraulic systems are an important part of key equipment. The stability and efficiency of their performance directly affect the efficiency, safety and reliability of port operations. Hydraulic systems are responsible for driving various heavy machinery and equipment, such as cranes, conveyor belts and container handling equipment for loading and unloading cargo. Their smooth operation is a key factor in ensuring smooth port logistics.

[0003] However, traditional hydraulic systems face many challenges in monitoring, control and maintenance. First, the monitoring of operating parameters is not comprehensive. Traditional monitoring methods can only obtain limited and discrete data points and cannot reflect the actual operating status of the hydraulic system in real time and comprehensively. This leads to inaccurate evaluation of system performance and failure to detect potential problems and failures in a timely manner.

[0004] Secondly, potential risks are not identified in a timely manner. Due to the lack of effective real-time monitoring and data analysis methods, traditional hydraulic systems are often unable to provide early warning before failures occur, resulting in sudden failures, unexpected downtime and maintenance costs. This not only restricts the improvement of port operation efficiency, but also poses a potential threat to the safety and reliability of port operations. Summary of the invention

[0005] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a hydraulic control system and method for port equipment, which reduces energy consumption and maintenance costs through highly intelligent hydraulic working condition control, while enhancing the safety and reliability of port operations.

[0006] In order to solve the above technical problems, the basic concept of the technical solution adopted by the present invention is:

[0007] In a first aspect, a hydraulic control system for port equipment comprises:

[0008] Intelligent sensing module, used to monitor various working parameters of the port hydraulic system in real time, capture the operating status of the port hydraulic equipment, and convert the data into electrical signals;

[0009] The analysis module is used to receive and process the parameter data from the intelligent perception module to obtain the analysis results;

[0010] A decision control unit, used to formulate a control strategy based on the analysis results to generate control instructions;

[0011] A monitoring module is used to receive control instructions, adjust the working state of the hydraulic system according to the control instructions, monitor the execution process data of the hydraulic system in real time, and transmit the execution process data to the decision control unit;

[0012] The fault diagnosis module is used to receive the execution process data from the monitoring module and perform fault diagnosis.

[0013] In any of the above schemes, a preferred embodiment monitors various working parameters of the port hydraulic system in real time, captures the operating status of the port hydraulic equipment, and converts the data into electrical signals, including:

[0014] Integrate multiple sensors at key locations of the port hydraulic system to form a multi-sensor array;

[0015] Through a multi-sensor array, various operating parameters of the hydraulic system are monitored to obtain parameter data, including pressure, flow, temperature, oil cleanliness, system vibration and wear of key components.

[0016] According to the parameter data, the operating status of the port hydraulic equipment is captured in real time, and the change data is converted into electrical signals.

[0017] In any of the above schemes, a preferred embodiment receives and processes parameter data from the intelligent sensing module to obtain analysis results, including:

[0018] Preprocessing the data according to the parameter data of the intelligent perception module to obtain preprocessed data;

[0019] Fusing the preprocessed data to obtain fused data;

[0020] The fused data is analyzed in real time to identify potential risks in the hydraulic system and obtain analysis results.

[0021] In any of the above schemes, a preferred embodiment performs real-time analysis on the fused data to identify potential risks in the hydraulic system to obtain analysis results, including:

[0022] Summarize the trend of the fused data and perform outlier detection on the data to obtain the detection results;

[0023] Compare the test results with historical data to identify potential risks in the hydraulic system and obtain identification results;

[0024] Based on the identification results, the maintenance needs of the equipment are predicted, and the identification results and maintenance needs are combined to obtain analysis results.

[0025] In a preferred embodiment of any of the above solutions, the preprocessed data is fused to obtain fused data, including:

[0026] The preprocessed data is passed Fusion is performed to obtain preliminary fusion data, where is the fused data, is an index used to traverse all preprocessed data points. Change from 1 to , represents the sequence number of the data point; Represents the total number of preprocessed data, that is, the number of data points involved in fusion; Indicates The weights corresponding to the preprocessed data points; Indicates pre-processed data points, representing the initially processed data collected from different sensors or monitoring points of the port hydraulic system; is an index used to traverse the terms in the polynomial. From 0 to , representing different powers in the polynomial; Represents the highest power of a polynomial; Represents the polynomial The coefficient of the term;

[0027] filtering the preliminary fusion data through a low-pass filter to obtain filtered data;

[0028] Feature extraction is performed on the filtered data to obtain the final fused data.

[0029] In a preferred embodiment of any of the above schemes, feature extraction is performed on the filtered data to obtain final fused data, including:

[0030] Normalizing the filtered data to obtain processed data;

[0031] The processed data is analyzed using the mean and the mean data features are extracted to obtain the final fused data.

[0032] In a preferred embodiment of any of the above schemes, a control strategy is formulated according to the analysis results to generate a control instruction, including:

[0033] According to the analysis results, through To develop a control strategy, is the control increment, is the controller gain, and are the proportional coefficient and the differential coefficient, respectively. is the error signal, and are the first and second order differences of the error signal, respectively;

[0034] Generate control instructions based on the formulated control strategy.

[0035] In any of the above schemes, a preferred embodiment receives a control instruction, adjusts the working state of the hydraulic system according to the control instruction, monitors the execution process data of the hydraulic system in real time, and transmits the execution process data to the decision control unit, including:

[0036] Parse the control instructions to obtain operation signals;

[0037] According to the operation signal, drive the hydraulic pump, valve and key actuator to adjust the working state of the hydraulic system;

[0038] Monitor the operating status of the hydraulic system and collect the operating status data of the hydraulic system in real time;

[0039] The operating status data is transmitted to the decision control unit.

[0040] In a preferred embodiment of any of the above schemes, parsing the control instruction to obtain the operation signal includes:

[0041] Performing integrity check on control instructions to obtain complete control instructions;

[0042] Decomposing the complete control instruction into different parameters, and extracting control parameter values ​​from the different parameters to obtain control parameters;

[0043] The control parameter is converted into an operation signal to obtain an operation signal.

[0044] In a preferred embodiment of any of the above schemes, receiving execution process data from the monitoring module and performing fault diagnosis includes:

[0045] Execution process data include pressure, flow, and temperature parameters;

[0046] By processing and analyzing the execution process data to identify abnormal patterns and potential failures, the identification results are obtained;

[0047] Based on the recognition results, if an abnormality is detected, an alarm is triggered, and the location of the fault is located by comparing it with the normal working state and using historical data and fault modes; the fault information and positioning results are fed back to the decision control unit.

[0048] In a second aspect, a hydraulic control method for port equipment is applied to the system, and the method comprises:

[0049] Obtain various working parameters of the hydraulic system and capture the operating status of the port hydraulic equipment to obtain data and status information;

[0050] The data and the status information are fused to obtain processed data;

[0051] Analyze the processed data to obtain analysis results;

[0052] Develop control strategies based on the analysis results;

[0053] According to the control strategy, adjust the working state of the hydraulic system and monitor the execution process to obtain the execution process data;

[0054] According to the execution process data, fault diagnosis is performed.

[0055] After adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art:

[0056] By monitoring the system working conditions, it ensures that the hydraulic equipment operates in the optimal state and reduces the downtime caused by equipment failure or performance degradation; through precise control strategies, it optimizes the working parameters of the hydraulic system and improves working efficiency; the real-time monitoring and fault diagnosis functions can promptly detect potential risks and prevent serious failures; in abnormal situations, the system can respond quickly and take measures to avoid accidents; through data analysis, it predicts maintenance needs and implements preventive maintenance to reduce equipment damage caused by excessive use or lack of maintenance; the working state of the hydraulic system is precisely controlled to reduce unnecessary wear and tear and extend the service life of the equipment; the fault diagnosis module can accurately locate the fault point, provide clear guidance for maintenance personnel, and shorten maintenance time.

[0057] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. Some specific embodiments of the present application will be described in detail in an illustrative and non-restrictive manner with reference to the drawings. The same reference numerals in the drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the drawings:

[0059] Figure 1 It is a schematic diagram of the hydraulic control system of the port equipment of the present invention.

[0060] Figure 2 It is a flow chart of the hydraulic control method for port equipment of the present invention.

[0061] It should be noted that these drawings and text descriptions are not intended to limit the conceptual scope of the present invention in any way, but to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. The elements in the drawings are schematic and not drawn to scale. DETAILED DESCRIPTION

[0062] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present application.

[0063] The following embodiment of the present application takes the hydraulic control system of port equipment as an example to explain the solution of the present application in detail, but this embodiment cannot limit the protection scope of the present application.

[0064] like Figure 1 As shown, the present invention provides a hydraulic control system for port equipment, comprising:

[0065] The intelligent sensing module 11 is used to monitor various working parameters of the port hydraulic system in real time, capture the operating status of the port hydraulic equipment, and convert the data into electrical signals;

[0066] The analysis module 12 is used to receive and process the parameter data from the intelligent perception module to obtain the analysis results;

[0067] A decision control unit 13, used to formulate a control strategy according to the analysis results to generate a control instruction;

[0068] The monitoring module 14 is used to receive control instructions, adjust the working state of the hydraulic system according to the control instructions, monitor the execution process data of the hydraulic system in real time, and transmit the execution process data to the decision control unit;

[0069] The fault diagnosis module 15 is used to receive the execution process data from the monitoring module and perform fault diagnosis.

[0070] In the embodiment of the present invention, various operating parameters of the port hydraulic system are monitored in real time to ensure comprehensive capture of the operating status of the hydraulic equipment; a large amount of parameter data from the intelligent perception module is quickly received and processed, and accurate analysis results are obtained through advanced data analysis algorithms; a scientific control strategy is formulated based on the analysis results, and corresponding control instructions are generated to achieve intelligent control of the hydraulic system and improve operating efficiency and response speed; it is responsible for receiving control instructions and adjusting the working state of the hydraulic system in real time according to the instructions, while monitoring the execution process data to ensure that the hydraulic system always operates in the best state; by receiving the execution process data, efficient fault diagnosis can be performed, and the fault point can be quickly identified and located, thus reducing the troubleshooting time and maintenance costs; the intelligent upgraded hydraulic system can significantly improve the port operation efficiency, reduce the downtime caused by faults, and at the same time enhance the safety of the operation process and reduce the risk of accidents; through real-time monitoring and data analysis, a more accurate maintenance strategy can be formulated to achieve predictive maintenance, thereby extending the service life of the hydraulic system and reducing long-term maintenance costs.

[0071] In a preferred embodiment of the present invention, various working parameters of the port hydraulic system are monitored in real time, the operating status of the port hydraulic equipment is captured, and the data is converted into electrical signals, including:

[0072] Integrate multiple sensors at key locations of the port hydraulic system to form a multi-sensor array;

[0073] Through a multi-sensor array, various operating parameters of the hydraulic system are monitored to obtain parameter data, including pressure, flow, temperature, oil cleanliness, system vibration and wear of key components.

[0074] According to the parameter data, the operating status of the port hydraulic equipment is captured in real time, and the change data is converted into electrical signals.

[0075] In the embodiment of the present invention, the multi-sensor array can comprehensively and in real time monitor various operating parameters of the hydraulic system, including pressure, flow, temperature, oil cleanliness, system vibration and wear of key components, to ensure a comprehensive grasp of the operating status of the hydraulic system. Through the coordinated work of multiple sensors, rich and accurate parameter data can be obtained to improve the reliability and accuracy of the data. Based on the parameter data, the operating status of the port hydraulic equipment can be captured in real time, and whether it is in normal working condition or abnormal fluctuations, it can be identified promptly and accurately. The change data is quickly converted into electrical signals, which is convenient for subsequent data processing, analysis and application, so that the system can respond quickly and adjust the working status, thereby improving operating efficiency and response speed.

[0076] In the specific implementation process of the present invention, according to the monitoring requirements, the sensor type is selected, and the displacement sensor and acceleration sensor used to monitor the wear of key components are arranged near the hydraulic pump inlet and outlet, important pipeline nodes, actuators, oil tanks and key components of the hydraulic system. Multiple sensors are connected to the data acquisition system or central controller through cables, buses or other communication methods to form an integrated multi-sensor array; the corresponding software is configured in the data acquisition system, and the data acquisition system or central controller is started to start real-time monitoring of various working parameters of the hydraulic system. The sensor converts the real-time collected data into electrical signals and transmits them to the data acquisition system or central controller through the communication interface.

[0077] In a preferred embodiment of the present invention, receiving and processing parameter data from the intelligent sensing module to obtain analysis results includes:

[0078] Preprocessing the data according to the parameter data of the intelligent perception module to obtain preprocessed data;

[0079] Fusing the preprocessed data to obtain fused data;

[0080] The fused data is analyzed in real time to identify potential risks in the hydraulic system and obtain analysis results.

[0081] In an embodiment of the present invention, the preprocessing step can remove noise, outliers and redundant information in the original data, thereby improving the overall quality and accuracy of the data; the data fusion step integrates the multivariate parameter data from different sensors to form a comprehensive data set, which can more comprehensively understand the operating status of the hydraulic system and capture more potential risks and failure modes; by performing real-time analysis on the fused data, potential risks in the hydraulic system, such as abnormal pressure, flow fluctuations, excessive temperature and oil contamination, can be discovered in time; the real-time analysis results provide a scientific basis for the formulation of maintenance strategies, and the maintenance needs of the equipment can be predicted based on the analysis results to achieve predictive maintenance, thereby avoiding excessive or insufficient maintenance, reducing maintenance costs, and timely discovering and handling potential risks.

[0082] In the specific implementation process of the present invention, the original parameter data collected from the intelligent perception module is cleaned, all the data are converted to a unified scale, and transformed; the pre-processed multivariate parameter data are integrated to form a comprehensive data set; feature fusion is performed on the basis of data integration to extract key feature parameters that can reflect the operating status of the hydraulic system; based on the fused data features and the actual operating conditions of the hydraulic system, the fused data is analyzed in real time to promptly identify potential risks in the hydraulic system and trigger corresponding early warning mechanisms.

[0083] In a preferred embodiment of the present invention, the fused data is analyzed in real time to identify potential risks in the hydraulic system to obtain analysis results, including:

[0084] Summarize the trend of the fused data and perform outlier detection on the data to obtain the detection results;

[0085] Compare the test results with historical data to identify potential risks in the hydraulic system and obtain identification results;

[0086] Based on the identification results, the maintenance needs of the equipment are predicted, and the identification results and maintenance needs are combined to obtain analysis results.

[0087] In the embodiment of the present invention, by summarizing the data trend, noise can be effectively removed, major changes can be highlighted, and the overall quality and accuracy of the data can be improved. Outlier detection can identify and process abnormal points in the data to ensure the accuracy of the analysis. By comparing the test results with historical data, potential risks in the hydraulic system can be discovered. The maintenance needs of the equipment can be predicted based on the identification results, and predictive maintenance can be achieved to avoid excessive or insufficient maintenance. Timely identification of potential risks and prediction of maintenance needs can reduce downtime caused by hydraulic system failures, help improve the reliability and stability of the system, and reduce the risk of safety accidents caused by failures. The analysis results provide a scientific basis for intelligent decision-making, support the intelligent upgrade and management of port hydraulic systems, and optimize control strategies and improve the overall performance and intelligence level of the system through continuous accumulation and analysis of data.

[0088] In the specific implementation process of the present invention, the fused data is analyzed to summarize its overall trend, the mean of the fused data is calculated, and the mean is used as a threshold to detect outliers on the fused data. Data points far from the mean are regarded as potential outliers; historical operating data of the hydraulic system is collected, including normal operating data, fault data, and maintenance records, and the outlier detection results are compared and analyzed with the historical data to find similar or matching patterns. Based on the comparative analysis results, potential risks that may exist in the hydraulic system are identified, and the identified potential risks are evaluated to determine the possibility and impact; based on the identification and evaluation results of potential risks, the maintenance needs of the equipment are predicted; the identification results and maintenance needs are combined to generate a detailed analysis result report, including a description of the potential risks, risk assessment results, maintenance needs prediction, and recommended maintenance measures.

[0089] In a preferred embodiment of the present invention, the preprocessed data is fused to obtain fused data, including:

[0090] The preprocessed data is passed Fusion is performed to obtain preliminary fusion data, where is the fused data, is an index used to traverse all preprocessed data points. Change from 1 to , represents the sequence number of the data point; Represents the total number of preprocessed data, that is, the number of data points involved in fusion; Indicates The weights corresponding to the preprocessed data points; Indicates pre-processed data points, representing the initially processed data collected from different sensors or monitoring points of the port hydraulic system; is an index used to traverse the terms in the polynomial. From 0 to , representing different powers in the polynomial; Represents the highest power of a polynomial; Represents the polynomial The coefficient of the term;

[0091] filtering the preliminary fusion data through a low-pass filter to obtain filtered data;

[0092] Feature extraction is performed on the filtered data to obtain the final fused data.

[0093] In an embodiment of the present invention, by fusing multiple preprocessed data, information from different sensors or data sources can be integrated. The weights considered in the fusion process can highlight important data and suppress noise and unreliable data. The low-pass filter can effectively filter out high-frequency noise, retain low-frequency useful signals, and improve the signal-to-noise ratio of the data. Filtering processing helps to remove random fluctuations and interference in the data. Feature extraction can extract key features from the filtered data. Through feature extraction, the dimension of the data can be reduced.

[0094] In the specific implementation process of the present invention, preliminary fusion data is calculated by weighted summation, and the cutoff frequency of the filter is set according to the Butterworth filter. The preliminary fusion data is used as the input of the filter, and filtering is performed to obtain filtered data. Feature extraction is performed on the filtered data to extract key features that can reflect the state of the hydraulic system. According to actual needs, the feature extraction method is selected to obtain the final fusion data.

[0095] In a preferred embodiment of the present invention, feature extraction is performed on the filtered data to obtain final fused data, including:

[0096] Normalizing the filtered data to obtain processed data;

[0097] The processed data is analyzed using the mean and the mean data features are extracted to obtain the final fused data.

[0098] In an embodiment of the present invention, normalization processing can convert filtered data to a unified scale, eliminate the differences in dimensions and numerical ranges between different data, and improve the consistency and comparability of data; through trend analysis, long-term changes and patterns in filtered data can be revealed, which is helpful to understand the operating status and performance evolution of the hydraulic system; outlier analysis can identify abnormal points or outliers in filtered data, and abnormal points indicate potential failures or abnormal conditions of the hydraulic system. Timely detection of abnormal values ​​helps to trigger a fault warning mechanism and reduce unplanned downtime and maintenance costs; extracting mean data features can summarize the overall operating status of the hydraulic system and reflect the stability and performance level of the system. The mean features provide a concise and effective indicator for system performance evaluation and maintenance demand prediction.

[0099] In the specific implementation process of the present invention, the numerical range of the filtered data is converted to a unified scale, the moving average trend line method is used to summarize the overall trend of the data, and statistical methods are used to detect abnormal values ​​in the data, identify and process abnormal points or outliers in the data; the mean of the processed data is calculated, and the results of trend analysis, abnormal value detection and mean feature extraction are integrated together.

[0100] In a preferred embodiment of the present invention, a control strategy is formulated according to the analysis results to generate control instructions, including:

[0101] According to the analysis results, through To develop a control strategy, is the control increment, is the controller gain, and are the proportional coefficient and the differential coefficient, respectively. is the error signal, and are the first and second order differences of the error signal, respectively;

[0102] Generate control instructions based on the formulated control strategy.

[0103] In an embodiment of the present invention, more precise control can be achieved by formulating a control strategy using the analysis results. The error signal and its first-order and second-order differentials are taken into account in the control strategy, making the control more delicate and accurate. The introduction of controller gain, proportional coefficient and differential coefficient enables the control system to have good dynamic response characteristics. Through reasonable control strategy design, the stability of the hydraulic system can be enhanced. The use of error signals and their differentials helps to suppress external interference and internal uncertainties and improve the robustness of the system.

[0104] In a preferred embodiment of the present invention, receiving a control instruction, adjusting the working state of the hydraulic system according to the control instruction, monitoring the execution process data of the hydraulic system in real time, and transmitting the execution process data to the decision control unit include:

[0105] Parse the control instructions to obtain operation signals;

[0106] According to the operation signal, drive the hydraulic pump, valve and key actuator to adjust the working state of the hydraulic system;

[0107] Monitor the operating status of the hydraulic system and collect the operating status data of the hydraulic system in real time;

[0108] The operating status data is transmitted to the decision control unit.

[0109] In the embodiment of the present invention, the analysis of control instructions ensures the accuracy of operating signals. By real-time monitoring of the operating status of the hydraulic system, changes in the system can be discovered and responded to in a timely manner, and real-time adjustments can be made to the hydraulic pump, valves and actuators to maintain the optimal performance of the system. Precise operation and real-time status adjustment together improve the operating efficiency of the hydraulic system, reduce energy waste and unnecessary losses, and real-time monitoring and status data acquisition help identify potential problems in the hydraulic system and make timely adjustments, thereby enhancing the stability and reliability of the system. The operating status data is transmitted to the decision control unit, providing real-time and accurate information support for data-based analysis and decision-making.

[0110] In the specific implementation process of the present invention, the system receives control instructions from the decision-making control unit. After receiving the control instructions, the instruction parsing module in the system will parse them and convert them into specific operation signals. The parsed operation signals will be distributed to the control unit. The hydraulic pump controller adjusts the working state of the hydraulic pump according to the operation signal. The valve controller controls the opening and closing degree of the valve according to the operation signal. The actuator controller drives the hydraulic cylinder and hydraulic motor actuators according to the operation signal to achieve specific actions. Various sensors are deployed at key positions of the hydraulic system. The sensors convert the collected data into electrical signals and transmit them to the data acquisition module through the signal transmission line. The data acquisition module filters, amplifies, and performs analog-to-digital conversion on the received signals to obtain digital signals that can be analyzed and used. The data from different sensors are integrated to form a complete hydraulic system operation status data set.

[0111] In a preferred embodiment of the present invention, parsing the control instruction to obtain the operation signal includes:

[0112] Performing integrity check on control instructions to obtain complete control instructions;

[0113] Decomposing the complete control instruction into different parameters, and extracting control parameter values ​​from the different parameters to obtain control parameters;

[0114] The control parameter is converted into an operation signal to obtain an operation signal.

[0115] In the embodiment of the present invention, integrity checking ensures that the received control instructions are complete and have not been tampered with, thereby reducing system failures or instability caused by instruction errors; by accurately extracting control parameter values ​​and converting them into accurate operating signals, fine control of the hydraulic system can be achieved, and control accuracy and response speed can be improved; accurate control parameters and operating signals enable the hydraulic system to operate more efficiently, reducing energy waste and unnecessary losses, thereby optimizing system performance, and clear instruction structure and parameter decomposition make system maintenance and debugging simpler, and easy to identify and solve problems.

[0116] In the specific implementation process of the present invention, the system first receives a control instruction from a decision control unit, checks whether the format of the control instruction complies with a predetermined standard or protocol, and if the instruction format is correct and the check code verification is passed, the instruction is confirmed to be complete, otherwise it is necessary to request to resend the instruction; the complete control instruction is decomposed into different parameter parts, the type of each parameter is identified, and a specific control parameter value is extracted from each parameter, and the extracted control parameter value is mapped to a corresponding operation signal range; an operation signal is generated according to the mapped parameter value; and the generated operation signal is sent to a corresponding actuator or controller to drive a hydraulic pump, valve, and key actuator to adjust the working state of the hydraulic system.

[0117] In a preferred embodiment of the present invention, receiving the execution process data from the monitoring module and performing fault diagnosis include:

[0118] Execution process data include pressure, flow, and temperature parameters;

[0119] By processing and analyzing the execution process data to identify abnormal patterns and potential failures, the identification results are obtained;

[0120] Based on the recognition results, if an abnormality is detected, an alarm is triggered, and the location of the fault is located by comparing it with the normal working state and using historical data and fault modes; the fault information and positioning results are fed back to the decision control unit.

[0121] In the embodiments of the present invention, real-time collection and analysis of pressure, flow, and temperature data during the execution process can help to timely discover and warn of potential faults, thereby reducing the system failure rate and improving overall reliability; through continuous monitoring and analysis of the execution process data, abnormal patterns and potential faults can be identified, and early detection and warning of faults can be achieved, thereby gaining valuable time for subsequent troubleshooting and repair; combined with historical data and fault patterns, the location of the fault can be accurately located, providing maintenance personnel with clear fault indications, thereby improving maintenance efficiency and accuracy; timely discovery and handling of potential faults can avoid safety accidents caused by fault expansion and ensure the safe operation of the hydraulic system; accurate fault detection and location can reduce unplanned downtime and ensure the continuous and stable operation of the production line, thereby improving production efficiency.

[0122] In the specific implementation process of the present invention, the collected execution process data is cleaned to remove noise and invalid data, key features are extracted from the pre-processed data, and the extracted features are analyzed to identify abnormal modes and potential faults. When an abnormal mode or potential fault is detected, the system automatically triggers an alarm to notify the decision control unit; by comparing with the normal working state of the hydraulic system and combining historical data and known fault modes, fault diagnosis is used to locate the location where the fault occurs, and the detected fault information and positioning results are integrated into a report so as to be clearly displayed to maintenance personnel or the decision control unit, and the integrated fault information and positioning results are fed back to the decision control unit through the communication interface to provide it with real-time and accurate data support so as to make more scientific decisions.

[0123] A hydraulic control method for port equipment is applied to the system, and the method comprises:

[0124] Obtain various working parameters of the hydraulic system and capture the operating status of the port hydraulic equipment to obtain data and status information;

[0125] The data and the status information are fused to obtain processed data;

[0126] Analyze the processed data to obtain analysis results;

[0127] Develop control strategies based on the analysis results;

[0128] According to the control strategy, adjust the working state of the hydraulic system and monitor the execution process to obtain the execution process data;

[0129] According to the execution process data, fault diagnosis is performed.

[0130] In the embodiments of the present invention, by acquiring the working parameters of the hydraulic system and capturing the operating status in real time, it is possible to achieve comprehensive monitoring of the port hydraulic equipment, and promptly discover and respond to any changes in the equipment status; by fusing multi-source data and status information, data redundancy can be eliminated, data quality can be improved, and a more accurate and comprehensive information basis can be provided for subsequent analysis and decision-making; in-depth analysis of the processed data can reveal the operating laws of the hydraulic system, discover potential problems, and provide a strong basis for formulating scientific control strategies; the control strategy formulated according to the analysis results can achieve active control of the hydraulic system, optimize its working state, and improve operating efficiency and performance; by monitoring the execution process data and performing fault diagnosis, an early warning can be issued before a fault occurs, unplanned downtime can be reduced, and the reliability and availability of equipment can be improved; timely fault diagnosis and preventive maintenance can reduce the number and cost of repairs to the hydraulic system, while extending the service life of the equipment.

[0131] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0132] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A hydraulic control system for port equipment, characterized in that: include: Intelligent sensing module, used to monitor various working parameters of the port hydraulic system in real time, capture the operating status of the port hydraulic equipment, and convert the data into electrical signals; The analysis module is used to receive and process the parameter data from the intelligent perception module to obtain the analysis results; A decision control unit, used to formulate a control strategy based on the analysis results to generate control instructions; A monitoring module is used to receive control instructions, adjust the working state of the hydraulic system according to the control instructions, monitor the execution process data of the hydraulic system in real time, and transmit the execution process data to the decision control unit; A fault diagnosis module is used to receive the execution process data from the monitoring module and perform fault diagnosis; Receive and process parameter data from the intelligent perception module to obtain analysis results, including: Preprocessing the data according to the parameter data of the intelligent perception module to obtain preprocessed data; Fusing the preprocessed data to obtain fused data; Analyze the fused data in real time to identify potential risks in the hydraulic system and obtain analysis results; The preprocessed data is fused to obtain fused data, including: The preprocessed data is passed Fusion is performed to obtain preliminary fusion data, where is the fused data, is an index used to traverse all preprocessed data points. Change from 1 to , represents the sequence number of the data point; Represents the total number of preprocessed data, that is, the number of data points involved in fusion; Indicates The weights corresponding to the preprocessed data points; Indicates pre-processed data points, representing the initially processed data collected from different sensors or monitoring points of the port hydraulic system; is an index used to traverse the terms in the polynomial. From 0 to , representing different powers in the polynomial; Represents the highest power of a polynomial; Represents the polynomial The coefficient of the term; filtering the preliminary fusion data through a low-pass filter to obtain filtered data; Normalizing the filtered data to obtain processed data; The processed data is analyzed using the mean and the mean data features are extracted to obtain the final fused data.

2. The hydraulic control system for port equipment according to claim 1, characterized in that: Real-time monitoring of various working parameters of the port hydraulic system, capturing the operating status of the port hydraulic equipment, and converting the data into electrical signals, including: Integrate multiple sensors at key locations of the port hydraulic system to form a multi-sensor array; Through a multi-sensor array, various operating parameters of the hydraulic system are monitored to obtain parameter data, including pressure, flow, temperature, oil cleanliness, system vibration, and wear of key components; According to the parameter data, the operating status of the port hydraulic equipment is captured in real time, and the change data is converted into electrical signals.

3. The hydraulic control system for port equipment according to claim 2, characterized in that: Analyze the fused data in real time to identify potential risks in the hydraulic system and obtain analysis results, including: Summarize the trend of the fused data and perform outlier detection on the data to obtain the detection results; Compare the test results with historical data to identify potential risks in the hydraulic system and obtain identification results; Based on the identification results, the maintenance needs of the equipment are predicted, and the identification results and maintenance needs are combined to obtain analysis results.

4. The hydraulic control system for port equipment according to claim 3, characterized in that: Develop control strategies based on the analysis results to generate control instructions, including: According to the analysis results, through To develop a control strategy, is the control increment, is the controller gain, and are the proportional coefficient and the differential coefficient, respectively. is the error signal, and are the first and second order differences of the error signal, respectively; Generate control instructions based on the formulated control strategy.

5. The hydraulic control system for port equipment according to claim 4, characterized in that: Receive control instructions, adjust the working state of the hydraulic system according to the control instructions, monitor the execution process data of the hydraulic system in real time, and transmit the execution process data to the decision control unit, including: Parse the control instructions to obtain operation signals; According to the operation signal, drive the hydraulic pump, valve and key actuator to adjust the working state of the hydraulic system; Monitor the operating status of the hydraulic system and collect the operating status data of the hydraulic system in real time; The operating status data is transmitted to the decision control unit.

6. The hydraulic control system for port equipment according to claim 5, characterized in that: Receive execution process data from the monitoring module and perform fault diagnosis, including: Execution process data include pressure, flow, and temperature parameters; By processing and analyzing the execution process data to identify abnormal patterns and potential failures, the identification results are obtained; Based on the recognition results, if an abnormality is detected, an alarm is triggered, and the location of the fault is located by comparing it with the normal working state and using historical data and fault modes; the fault information and positioning results are fed back to the decision control unit.

7. A hydraulic control method for port equipment, characterized in that: Applied to the system according to any one of claims 1 to 6, the method comprises: Obtain various working parameters of the hydraulic system and capture the operating status of the port hydraulic equipment to obtain data and status information; The data and the status information are fused to obtain processed data; Analyze the processed data to obtain analysis results; Develop control strategies based on the analysis results; According to the control strategy, adjust the working state of the hydraulic system and monitor the execution process to obtain the execution process data; According to the execution process data, fault diagnosis is performed; Receive and process parameter data from the intelligent perception module to obtain analysis results, including: Preprocessing the data according to the parameter data of the intelligent perception module to obtain preprocessed data; Fusing the preprocessed data to obtain fused data; Analyze the fused data in real time to identify potential risks in the hydraulic system and obtain analysis results; The preprocessed data is fused to obtain fused data, including: The preprocessed data is passed Fusion is performed to obtain preliminary fusion data, where is the fused data, is an index used to traverse all preprocessed data points. Change from 1 to , represents the sequence number of the data point; Represents the total number of preprocessed data, that is, the number of data points involved in fusion; Indicates The weights corresponding to the preprocessed data points; Indicates pre-processed data points, representing the initially processed data collected from different sensors or monitoring points of the port hydraulic system; is an index used to traverse the terms in the polynomial. From 0 to , representing different powers in the polynomial; Represents the highest power of a polynomial; Represents the polynomial The coefficient of the term; filtering the preliminary fusion data through a low-pass filter to obtain filtered data; Normalizing the filtered data to obtain processed data; The processed data is analyzed using the mean and the mean data features are extracted to obtain the final fused data.

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