Electrically controlled proportional piston pump displacement control method and system

Abstract

This application provides a method and system for controlling the displacement of a piston pump based on electronic proportional control, relating to the field of displacement control technology. It integrates the results of wear detection and laser scanning of the piston pump's cylinder block and piston sliding surface to obtain the corresponding wear distribution; acquires metal wear monitoring data during piston pump operation and corrects the integrated results; and, based on the correction results, performs deviation analysis on the current electronic control command and optimizes the control command for displacement control. This solves the technical problems of low control accuracy and poor control effect due to limited adjustment range in piston pump control, affecting system stability and reliability, and lacking intelligent control to respond to complex working conditions. It achieves adaptive response to complex working conditions, precise control of piston pump displacement based on piston pump wear analysis, improves equipment performance and reliability, and ensures accurate and stable operation of the equipment.

Description

Technical Field

[0001] This invention relates to the field of displacement control technology, and specifically to a method and system for displacement control of a plunger pump based on electronic proportional control. Background Technology

[0002] With the increasing demands for operational comfort and energy efficiency in construction machinery, the displacement control accuracy and efficiency of piston pumps, as an important component of hydraulic systems, have become a focus of attention. Traditional piston pump displacement control methods, such as load-sensitive, pressure cut-off, and constant torque control, while meeting basic requirements to a certain extent, still have limitations in terms of control accuracy and efficiency.

[0003] Therefore, existing plunger pump control methods often suffer from low control accuracy and poor control effect due to limited adjustment range, which affects system stability and reliability, and lack intelligent control to respond to complex working conditions. Summary of the Invention

[0004] This application provides a method and system for controlling the displacement of a piston pump based on electronic proportional control, which addresses the technical problems in piston pump control, such as low control accuracy and poor control effect due to limited adjustment range, which affects system stability and reliability, and lack of intelligent control to respond to complex working conditions.

[0005] In view of the above problems, this application provides a method and system for controlling the displacement of a plunger pump based on electronic proportional control.

[0006] In a first aspect, this application provides a method for controlling the displacement of an electronically controlled proportional plunger pump, the method being applied to an electronically controlled proportional plunger pump displacement control system, the method comprising:

[0007] Surface wear detection is performed on the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston slides within the plunger pump, obtaining multiple visual cylinder wear distributions and multiple visual plunger wear distributions. The multiple cylinder bodies and multiple piston slides are paired to form multiple plunger pairs. Using a laser scanning device, laser scanning detection is performed on the inner surfaces of the multiple cylinder bodies and the outer surfaces of the multiple piston slides, obtaining multiple laser-based cylinder wear distributions and multiple laser-based plunger wear distributions. These multiple visual cylinder wear distributions and multiple visual plunger wear distributions are then fused to obtain multiple fused cylinder wear distributions and multiple fused plunger wear distributions. Metal wear monitoring data recorded during the operation of the plunger pump is acquired, and the wear distributions of the multiple fused cylinder bodies are analyzed. The wear distribution and multiple fused plunger wear distributions are corrected to obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions. The electronic control command for current displacement control is obtained, and based on the multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions, the control deviation of the electronic control command for displacement control is analyzed. The electronic control command includes a base swashplate angle and an ideal electronic control displacement ratio. Based on the magnitude of the control deviation, an optimization magnitude for optimizing the electronic control command is determined, and the base swashplate angle is optimized to obtain an optimized electronic control command for displacement control. The optimization aims to make the actual electronic control displacement ratio of the actual displacement control close to the ideal electronic control displacement ratio.

[0008] Secondly, this application provides an electronically controlled proportional plunger pump displacement control system, the system comprising:

[0009] The wear detection module is used to perform surface wear detection on the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston slides within the plunger pump, acquiring multiple visual cylinder wear distributions and multiple visual plunger wear distributions. The multiple cylinder bodies and multiple piston slides are paired to form multiple plunger pairs. The laser scanning module is used to perform laser scanning detection on the inner surfaces of the multiple cylinder bodies and the outer surfaces of the multiple piston slides using a laser scanning device, acquiring multiple laser cylinder wear distributions and multiple laser plunger wear distributions. The multiple visual cylinder wear distributions and multiple visual plunger wear distributions are then fused to obtain multiple fused cylinder wear distributions and multiple fused plunger wear distributions. The wear correction module is used to acquire metal wear monitoring data recorded during the operation of the plunger pump and to correct the wear distributions of the multiple fused cylinder wear distributions. The wear distribution of the cylinder block and the wear distribution of multiple fusion plungers are corrected to obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions. A deviation analysis module is used to acquire the electronic control command currently used for displacement control, and analyze the control deviation of the electronic control command for displacement control based on the multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions. The electronic control command includes a base swashplate angle and an ideal electronic control displacement ratio. An optimization decision module is used to determine the optimization magnitude for the electronic control command based on the magnitude of the control deviation, optimize the base swashplate angle to obtain an optimized electronic control command for displacement control, wherein the optimization aims to make the actual electronic control displacement ratio of the actual displacement control close to the ideal electronic control displacement ratio.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] The displacement control method for a piston pump based on electronic proportional control provided in this application involves: detecting surface wear on the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston slides within the piston pump to obtain multiple visual cylinder wear distributions and multiple visual piston wear distributions, wherein the multiple cylinder bodies and multiple piston slides cooperate to form multiple piston pairs; using a laser scanning device, performing laser scanning detection on the inner surfaces of the multiple cylinder bodies and the outer surfaces of the multiple piston slides to obtain multiple laser cylinder wear distributions and multiple laser piston wear distributions; fusing the multiple visual cylinder wear distributions and multiple visual piston wear distributions to obtain multiple fused cylinder wear distributions and multiple fused piston wear distributions; acquiring metal wear monitoring data recorded during the use of the piston pump, and correcting the multiple fused cylinder wear distributions and multiple fused piston wear distributions to obtain multiple corrected cylinder wear distributions and multiple corrected piston wear distributions; and acquiring the current electronic displacement control... The system analyzes and obtains the control deviation of the electronic control commands for displacement control based on the wear distribution of multiple correction cylinder blocks and multiple correction plungers. The electronic control commands include a base swashplate angle and an ideal electronic displacement ratio. Based on the magnitude of the control deviation, the system determines the optimization magnitude for the electronic control commands, optimizes the base swashplate angle, and obtains optimized electronic control commands for displacement control. The optimization aims to make the actual electronic displacement ratio of the actual displacement control close to the ideal electronic displacement ratio. This solves the technical problems of low control accuracy and poor control effect due to limited adjustment range in plunger pump control, which affects system stability and reliability, and lacks intelligent control to respond to complex working conditions. It achieves adaptive response to complex working conditions, precise control of plunger pump displacement based on plunger pump wear analysis, improves equipment performance and reliability, and ensures accurate and stable operation of the equipment. Attached Figure Description

[0012] Figure 1 This application provides a schematic flowchart of a plunger pump displacement control method based on electronic proportional control.

[0013] Figure 2 This application provides a schematic diagram of the structure of a plunger pump displacement control system based on electronic proportional control.

[0014] Explanation of reference numerals in the attached diagram: Wear detection module 11, laser scanning module 12, wear correction module 13, deviation analysis module 14, optimization decision module 15. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0016] Example 1

[0017] A plunger pump is a type of pump that transports liquids through the reciprocating motion of a plunger within a cylinder. It is widely used in fluid transport equipment in various fields such as chemical and petroleum, characterized by high flow rate, high pressure, and long transport distance. Its working principle is primarily based on the principle of volumetric change. During operation, liquid enters the pump body through the inlet check valve. When the plunger moves backward (or downward), the volume within the pump body increases, creating a low-pressure area. This low-pressure area attracts liquid from the inlet into the pump body. When the plunger moves forward (or upward), the volume within the pump body decreases, creating a high-pressure area. This high-pressure area pushes the liquid out of the pump body and discharges it through the check outlet valve, thus completing the fluid transport. In industrial production, many processes require precise control of liquid flow. By controlling the displacement of the plunger pump, precise control of the required flow rate can be achieved, resulting in efficient equipment operation, enhanced adaptability to operating conditions, avoidance of pressure overload and energy waste, and ensured equipment safety.

[0018] like Figure 1 As shown, this application provides a method for controlling the displacement of an electronically controlled proportional plunger pump. The method is applied to an electronically controlled proportional plunger pump displacement control system and includes:

[0019] Step S100: Perform surface wear detection on the inner surfaces of multiple cylinders and the outer surfaces of multiple plunger slides in the plunger pump to obtain multiple visual cylinder wear distributions and multiple visual plunger wear distributions, wherein the multiple cylinders and multiple plunger slides cooperate to form multiple sets of plunger pairs.

[0020] A plunger pump mainly consists of a plunger, cylinder, inlet and outlet valves, transmission mechanism, and other auxiliary components. The cylinder is the main body of the plunger pump, constructed from a sealing shell. The plunger is the core component, achieving liquid intake and discharge through its reciprocating motion within the cylinder. The plunger slide is a component mounted on the plunger head; its main function is to reduce the wear rate between the plunger and the swashplate, thereby extending the plunger's service life. The swashplate is an inclined plate-like component in the plunger pump, connected to the plunger. The swashplate forms an inclination angle with the cylinder, which determines the plunger's reciprocating stroke and thus the pump's displacement. During pump operation, when hydraulic fluid enters the swashplate, the swashplate's inclination angle converts hydraulic pressure into a driving force for the plunger, propelling it. When hydraulic fluid flows out of the swashplate, the swashplate converts hydraulic pressure into flow velocity and fluid direction. As the piston slide moves within the cylinder to complete the suction and discharge actions, the friction generated by the movement may cause wear on the cylinder and multiple piston slides, which in turn leads to errors in the displacement of each piston pair (i.e., a pair of cylinders and piston slides), causing deviations in the equipment's operating state or malfunctions. Therefore, when controlling displacement, it is necessary to first analyze the root cause (i.e., the wear condition).

[0021] Specifically, visual inspection equipment is used to photograph the inner surfaces of multiple cylinder blocks and the outer surfaces of multiple piston slides to obtain clear images, which are then analyzed using image processing software. Based on the image processing results, the wear characteristics of the cylinder blocks and piston slides are extracted, obtaining multiple visual wear distributions for the cylinder blocks and pistons. These distribution data can include detailed information such as the location, area, and depth of the wear, which can be characterized by the coordinate points of the wear and the amount of wear. Furthermore, considering that the multiple cylinder blocks and piston slides form multiple sets of piston pairs, it is necessary to analyze the wear condition of each set of piston pairs and compare the wear data of the cylinder blocks and piston slides for each set to understand their fit and wear trends.

[0022] By performing surface wear detection on multiple sets of plunger pairs, the accuracy and efficiency of wear detection are improved, providing an analytical basis for subsequent plunger pump displacement control.

[0023] Step S200: Based on the laser scanning equipment, perform laser scanning detection on the inner surface of the multiple cylinder bodies and the outer surface of the multiple plungers to obtain multiple laser cylinder wear distributions and multiple laser plunger wear distributions. Then, fuse the multiple visual cylinder wear distributions and multiple visual plunger wear distributions to obtain multiple fused cylinder wear distributions and multiple fused plunger wear distributions.

[0024] Optionally, a suitable laser scanning device for cylinder block and plunger sliding surface inspection is selected. Based on the material, size, and surface characteristics of the cylinder block and plunger sliding surface, the parameters of the laser scanning device, such as scanning speed, resolution, and laser power, are set. After aligning with the scanning position, the device is started to scan. The device emits a laser beam and receives the reflected signal, calculating the three-dimensional shape and wear condition of the surface to ensure that all minute wear traces are captured. The device records and analyzes the scanned cylinder block and plunger sliding surface's three-dimensional shape, wear location, area, and depth data to extract the laser-derived cylinder block wear distribution and laser-derived plunger wear distribution. Next, the laser-derived cylinder block and plunger wear distributions obtained from laser scanning are fused with the visually obtained cylinder block and plunger wear distributions from visual inspection. The fusion method can be achieved through weighted averaging, maximum likelihood estimation, Kalman filtering, etc., with the specific method selected based on the characteristics and requirements of the data. After data fusion processing, multiple fused cylinder block wear distributions and multiple fused plunger wear distributions are obtained. These fused wear distributions comprehensively consider the results of laser scanning and visual inspection, providing more comprehensive and accurate wear information.

[0025] By fusing the laser scanning and visual inspection results of multiple cylinder inner surfaces and multiple plunger sliding outer surfaces, more accurate and comprehensive wear distribution data can be obtained, providing strong support for subsequent equipment control and maintenance management.

[0026] Step S300: Obtain the metal wear monitoring record data of the plunger pump during use, correct the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers, and obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions.

[0027] For example, since wear causes metal particles to fall into the pump's operating oil, monitoring data on these metal particles can be used to determine the accuracy of the obtained wear distribution and make corrections. Specifically, a dedicated online monitoring system is used to collect metal wear data of the plunger pump during operation in real time or periodically. This includes the quantity and size of metal particles, as well as other wear-related parameters such as temperature, pressure, and vibration. The collected metal wear data undergoes preprocessing, including data cleaning, filtering, and conversion, to ensure accuracy and consistency. Finally, based on the plunger pump's operating principle and actual conditions, the data is analyzed and interpreted to understand the type, source, and quantity changes of metal particles, extracting key information related to cylinder block and plunger slip wear. Next, a corresponding correction strategy is developed based on the metal wear monitoring data and the plunger pump's operating principle. This strategy includes wear rate calculation based on the monitoring data and updating the wear distribution model. The metal wear monitoring data is compared and analyzed with the fused cylinder block wear distribution and the fused plunger wear distribution. The fused wear distribution is then corrected and adjusted according to the correction strategy to reflect the actual wear situation. The above correction process requires multiple iterations and verifications to ensure that the corrected wear distribution is more accurate and reliable.

[0028] By acquiring metal wear monitoring data during the use of the plunger pump and correcting the wear distribution of multiple fusion cylinder blocks and multiple fusion plungers, more accurate and reliable wear distribution data can be obtained, further ensuring the accuracy and reliability of subsequent optimization analysis.

[0029] Step S400: Obtain the electronic control command for current displacement control, and analyze the control deviation of the electronic control command for displacement control based on the multiple correction cylinder wear distribution and the multiple correction plunger wear distribution. The electronic control command includes the basic swashplate angle and the ideal electronic control displacement ratio.

[0030] Furthermore, the current electronic control commands are read from the piston pump's electronic control system, including the base swashplate angle and the ideal electronically controlled displacement ratio. These commands represent the desired displacement setting and operating state. Because the swashplate angle changes the piston's sliding stroke within the cylinder, thus altering the displacement, and displacement errors caused by wear can lead to errors in the displacement directly achieved by the current commands, it is necessary to analyze the control deviation. Based on the magnitude of the control deviation, the optimization step size for the swashplate angle is determined, and then optimization is performed.

[0031] Specifically, wear causes changes in the clearances of internal pump components, thus affecting the accuracy and stability of displacement control. Therefore, the actual impact of wear on displacement control is assessed based on multiple calibration cylinder wear distributions and multiple calibration plunger wear distributions. The actual displacement is calculated based on the current electronic control commands and wear distribution data. The actual displacement is then compared to the ideal electronic control displacement ratio to calculate the control deviation. This control deviation reflects the difference between the electronic control commands and the actual displacement, and is a key indicator for evaluating the accuracy of displacement control. It helps to more accurately assess the performance of displacement control and provides a basis for subsequent maintenance and optimization.

[0032] Step S500: Based on the magnitude of the control deviation, determine the optimization magnitude for optimizing the electronic control command, optimize the base swashplate angle, obtain optimized electronic control command, and perform displacement control, wherein the optimization aims to make the actual electronic control displacement ratio of the actual displacement control close to the ideal electronic control displacement ratio.

[0033] Specifically, the control deviation between the calculated electronic control command and the actual displacement is obtained, and a reasonable optimization strategy is formulated based on the magnitude of the control deviation. The magnitude of the control deviation refers to the difference between the actual electronically controlled displacement ratio and the ideal electronically controlled displacement ratio. Assuming the actual electronically controlled displacement ratio is A and the ideal electronically controlled displacement ratio is B, the magnitude of the control deviation can be expressed as |AB|; the larger this value, the greater the difference between the actual and ideal displacement control, i.e., the larger the magnitude of the control deviation. The formulated optimization strategy can be based on historical data, expert experience, or mathematical models to ensure the effectiveness and stability of the optimization. Typically, the optimization magnitude should increase gradually to avoid excessive adjustments causing unnecessary shocks to the system.

[0034] Furthermore, based on the optimization range strategy, the optimization range for the base swashplate angle in the electronic control command is determined. This optimization range reduces control deviation, making the actual electronically controlled displacement ratio closer to the ideal electronically controlled displacement ratio. Specifically, the base swashplate angle in the electronic control command is adjusted according to the determined optimization range. The adjusted base swashplate angle and other relevant parameters are integrated into the electronic control command to generate the optimized electronic control command. Finally, the optimized electronic control command is sent to the piston pump's electronic control system to execute the new displacement control, thus completing the piston pump displacement control optimization. In addition, it should be noted that wear conditions may change over time and with the use of the piston pump. Therefore, it is necessary to optimize the electronic control command periodically or irregularly to maintain optimal displacement control performance.

[0035] Furthermore, surface wear detection is performed on multiple inner surfaces of the cylinder block and multiple outer surfaces of the piston sliding contact within the piston pump to obtain multiple visual cylinder block wear distributions and multiple visual piston wear distributions. Step S100 of this application also includes:

[0036] Step S110: Image acquisition is performed on the inner surface of multiple cylinders and the outer surface of multiple piston sliding surfaces in the piston pump to obtain multiple cylinder images and multiple piston images.

[0037] Step S120: Based on the visual inspection data of piston pump wear, collect a set of sample cylinder block images and a set of sample visual cylinder block wear information, train the cylinder block wear visual recognition branch, collect a set of sample piston images and a set of sample visual piston wear information, and train the piston wear visual recognition branch. The sample visual cylinder block wear information includes multiple cylinder block wear parameters and multiple wear location parameters.

[0038] Step S130: Connect the cylinder block wear visual recognition branch and the plunger wear visual recognition branch to obtain a plunger pump wear visual recognition device.

[0039] Step S140: Based on the plunger pump wear visual recognition device, recognize the multiple cylinder block images and multiple plunger images to obtain multiple visual cylinder block wear information and multiple visual plunger wear information, and construct multiple visual cylinder block wear distributions and multiple visual plunger wear distributions.

[0040] Optionally, a vision inspection system is used to acquire images of the inner surfaces of multiple cylinder bodies within the plunger pump, ensuring that key areas of each cylinder are captured, resulting in multiple cylinder body images. Similarly, a vision inspection system is used to acquire images of the outer surfaces of multiple plunger sliding surfaces within the plunger pump, ensuring that the wear area of ​​each plunger is recorded in detail, resulting in multiple plunger images. Next, sample cylinder body images representing different wear levels are selected from existing plunger pump wear vision inspection data to form a sample cylinder body image set. For each sample cylinder body image, based on professional evaluation or measurement, the corresponding cylinder body wear parameters (such as wear depth, wear area, etc.) and wear location parameters (such as the specific location where wear occurs) are recorded, forming a sample visual cylinder body wear information set. Then, deep learning or traditional image processing methods are used, with the sample cylinder body image set and the sample visual cylinder body wear information set as input, to train a cylinder body wear visual recognition branch. Similarly, sample plunger images representing different wear levels are selected from existing plunger pump wear vision inspection data to form a sample plunger image set. For each sample plunger image, the corresponding plunger wear parameters (such as wear depth, wear shape, etc.) and wear location parameters are recorded to form a sample visual plunger wear information set. The same method is used to train the plunger wear visual recognition branch. Finally, the trained cylinder block wear visual recognition branch and the plunger wear visual recognition branch are connected to form a complete plunger pump wear visual recognizer. This recognizer can simultaneously process images of the cylinder block and plunger and output the corresponding wear information. The aforementioned sample visual cylinder block wear information includes multiple cylinder block wear parameters and multiple wear location parameters.

[0041] A trained plunger pump wear vision recognizer was used to identify multiple previously acquired cylinder block and plunger images. Visual wear information, including wear parameters and wear location parameters, was extracted from the recognition results for each cylinder block and plunger. Based on the extracted wear information, multiple visual cylinder block wear distributions and multiple visual plunger wear distributions were constructed. These distributions visually demonstrate the wear condition of the cylinder block and plungers, providing important reference for subsequent optimization analysis and maintenance.

[0042] Furthermore, based on a laser scanning device, laser scanning detection is performed on the inner surfaces of the multiple cylinder bodies and the outer surfaces of the multiple plunger sliding surfaces to obtain the wear distributions of the multiple laser cylinder bodies and the multiple laser plungers. Step S200 of this application also includes:

[0043] Step S210: Perform laser scanning detection on the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston sliding surfaces within the piston pump to obtain multiple cylinder body point cloud data and multiple piston point cloud data.

[0044] Step S220: Based on the wear laser detection data of the plunger pump, collect the sample cylinder point cloud data set and the sample plunger point cloud data set, and mark the wear parameters and wear positions of the inner surface of the cylinder and the outer surface of the plunger to obtain the sample laser cylinder wear information set and the sample laser plunger wear information set.

[0045] Step S230: Using the sample cylinder point cloud data set and the sample laser cylinder wear information set, train the cylinder wear laser recognition branch; using the sample plunger point cloud data set and the sample laser plunger wear information set, train the plunger wear laser recognition branch to obtain the plunger pump wear laser recognizer.

[0046] Step S240: Using the plunger pump wear laser identifier, identify the multiple cylinder point cloud data and multiple plunger point cloud data to obtain multiple laser cylinder wear distributions and multiple laser plunger wear distributions.

[0047] For example, a high-precision laser scanner is used to perform laser scanning inspection on multiple inner surfaces of the cylinder block and multiple outer surfaces of the piston sliding contact within the piston pump. Laser scanning acquires three-dimensional point cloud data of the cylinder block and piston surfaces, which will be used for subsequent wear identification and analysis. Representative sample cylinder block point cloud datasets and sample piston point cloud datasets are selected from the laser inspection data of the piston pump. These sample cylinder block point cloud datasets and sample piston point cloud datasets are then analyzed in detail to mark wear parameters (such as wear depth and wear area) and wear locations (such as the specific coordinates of the wear occurrence). The data with the identified information are then organized into sample laser cylinder block wear information sets and sample laser piston wear information sets.

[0048] Next, using deep learning or machine learning methods, a cylinder block wear laser recognition branch is trained with sample cylinder block point cloud data sets and sample laser cylinder block wear information sets as inputs. This branch learns the mapping relationship between cylinder block point cloud data and wear information, thereby enabling wear recognition of new cylinder block point cloud data. Similarly, a plunger wear laser recognition branch is trained using sample plunger point cloud data sets and sample laser plunger wear information sets. This branch learns the mapping relationship between plunger point cloud data and wear information, and is used to identify the wear condition of new plunger point cloud data. The trained cylinder block wear laser recognition branch and plunger wear laser recognition branch are integrated to construct a plunger pump wear laser recognizer. This recognizer can simultaneously process point cloud data from both the cylinder block and the plunger and output the corresponding wear information.

[0049] The pre-built plunger pump wear laser identifier was used to identify multiple previously collected cylinder block point cloud data and multiple plunger point cloud data. Laser wear information, including wear parameters and wear location, was extracted from the identification results for each cylinder block and plunger. Finally, based on the extracted wear information, visualization techniques (such as 3D models and color mapping) were used to construct multiple laser cylinder block wear distributions and multiple laser plunger wear distributions. These distribution maps can intuitively display the wear condition of the cylinder block and plunger, quickly locating severely worn areas and providing important reference for subsequent analysis and maintenance.

[0050] Furthermore, by fusing the wear distributions of the multiple vision cylinder blocks and the wear distributions of the multiple vision plungers to obtain multiple fused cylinder block wear distributions and multiple fused plunger wear distributions, step S200 of this application further includes:

[0051] Step S250: Construct multiple cylinder coordinate systems and multiple piston coordinate systems for the inner surfaces of the multiple cylinder bodies and the outer surfaces of the multiple piston slides.

[0052] Step S260: Map the multiple vision cylinder wear distributions and multiple vision plunger wear distributions, multiple laser cylinder wear distributions and multiple laser plunger wear distributions into the multiple cylinder coordinate systems and multiple plunger coordinate systems, index the vision wear parameters and laser wear parameters of each coordinate point, calculate and fuse them, and obtain multiple fused cylinder wear distributions and multiple fused plunger wear distributions.

[0053] Furthermore, to more accurately describe and assess the wear condition of the plunger pump, coordinate systems for multiple cylinder inner surfaces and multiple plunger sliding outer surfaces can be constructed. Wear distribution data obtained through different detection methods (such as vision and laser) can be mapped into these coordinate systems for parameter fusion. Specifically, for each cylinder inner surface, an independent cylinder coordinate system is constructed based on its geometry and size, which should accurately describe the various positions on the cylinder inner surface. Similarly, for each plunger sliding outer surface, an independent plunger coordinate system is constructed based on its shape and size, which should cover all areas of the plunger outer surface. The obtained visual wear distribution data for multiple cylinders and plungers are mapped into the corresponding cylinder and plunger coordinate systems. Simultaneously, the laser wear distribution data for multiple cylinders and plungers obtained through laser detection are mapped into the corresponding cylinder and plunger coordinate systems, ensuring that each coordinate point corresponds to the corresponding cylinder or plunger position. In addition, the visual wear distribution data and the laser wear distribution data need to be calibrated and aligned in the cylinder coordinate system and the piston coordinate system to ensure that the data obtained under different detection methods have a consistent spatial correspondence.

[0054] Next, for each coordinate point, its corresponding visual wear parameters (such as wear depth and wear area) and laser wear parameters are extracted, and then fused according to a certain fusion algorithm (such as weighted average, maximum value selection, etc.). The fusion process can comprehensively consider the advantages of both detection methods, improving the accuracy and reliability of wear assessment. The fused wear parameters are then remapped into the cylinder block coordinate system and the piston coordinate system, generating multiple fused cylinder block wear distributions and multiple fused piston wear distributions. These distribution maps will comprehensively reflect the results of visual and laser detection, meeting the accuracy requirements of subsequent analysis.

[0055] Furthermore, by acquiring metal wear monitoring data recorded during the use of the plunger pump, correcting the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers, and obtaining multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions, step S300 of this application also includes:

[0056] Step S310: Obtain the detection data of metal wear particles in the oil during the use of the plunger pump to obtain the actual total wear amount.

[0057] Step S320: Based on the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers, extract the total wear amount to be identified, and calculate the wear amount error by combining it with the actual total wear amount.

[0058] Step S330: Based on the identified wear error, uniformly correct the wear parameters within the wear distributions of the multiple fusion cylinder blocks and the multiple fusion plungers to obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions.

[0059] Specifically, oil analysis techniques (such as spectral analysis and ferrography) are used to detect metal wear particles in the oil during the operation of the plunger pump. The number of metal particles of different sizes and types in the oil is measured to obtain the actual total wear amount, thereby estimating the actual wear degree. Based on the generated wear distributions of multiple fused cylinder blocks and multiple fused plungers, wear parameters such as wear area and wear depth for each cylinder block and plunger are extracted, and the total identified wear amount is calculated. The actual total wear amount is compared with the identified total wear amount to calculate the identification wear amount error. This error reflects the deviation of the current identification system in assessing the wear degree. Furthermore, based on the identification wear amount error, a uniform correction strategy is adopted to correct the wear parameters within the multiple fused cylinder block wear distributions and multiple fused plunger wear distributions. That is, the system does not correct each wear point individually, but makes a uniform adjustment to the entire distribution. Finally, the wear parameters (such as wear area and wear depth) of each wear point are multiplied by a correction coefficient (calculated based on the identification wear amount error) to correct the entire wear distribution. Multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions are regenerated by applying the corrected wear parameters. These distributions will more accurately reflect the actual wear of the plunger pump.

[0060] Furthermore, in this application, step S400 further includes: acquiring the electronic control command currently used for displacement control, and analyzing the control deviation of the displacement control based on the multiple correction cylinder wear distributions and multiple correction plunger wear distributions;

[0061] Step S410: Obtain the electronic control command for current displacement control, the electronic control command including the base swashplate angle and the ideal electronic control displacement ratio.

[0062] Step S420: Based on the base swashplate angle, obtain the sliding stroke of multiple plungers in multiple cylinders, and index the wear distribution of multiple correction cylinders and the wear distribution of multiple correction plungers based on the sliding stroke to obtain the total wear parameter of multiple strokes.

[0063] Step S430: Calculate the control deviation for displacement control according to the ideal electronically controlled displacement ratio based on the total wear parameters of the multiple strokes.

[0064] Then, control deviation is calculated based on the corrected wear parameters and the current electronic control command. Specifically, the current electronic control command for displacement control is obtained, which includes the base swashplate angle and the ideal electronic displacement ratio. The base swashplate angle determines the initial position of the plunger in the cylinder, while the ideal electronic displacement ratio represents the ratio of the desired displacement to the maximum displacement. Based on the base swashplate angle, the sliding stroke of multiple plungers in multiple cylinders can be calculated. This stroke is specifically determined by the geometric relationship between the swashplate angle and the plunger stroke. Using the calculated sliding stroke as an index, a search is performed in multiple corrected cylinder wear distributions and multiple corrected plunger wear distributions. At the corresponding stroke position, the corresponding wear parameters are obtained from the corrected wear distribution. The wear parameters of each plunger in its respective sliding stroke are summed to obtain the total wear parameters for multiple strokes. These parameters represent the displacement error caused by wear at different stroke positions.

[0065] Next, based on the obtained total wear parameters, a displacement error model can be established. This model describes the displacement loss caused by wear under different electronic control commands. Based on the displacement loss model and the ideal electronic control displacement ratio in the electronic control commands, the actual displacement of the piston pump under the current wear condition can be calculated. Then, the actual displacement is compared with the ideal displacement in the electronic control commands to calculate the control deviation. This deviation reflects the difference between the displacement control and the desired target under the current wear condition. Based on the calculated control deviation, the displacement control system can be adjusted accordingly to reduce the deviation and improve the accuracy of displacement control. Simultaneously, the current wear condition and control deviation can be fed back to maintenance personnel so that they can promptly understand the operating status of the piston pump and perform necessary maintenance and upkeep.

[0066] Furthermore, based on the magnitude of the control deviation, a decision is made on the optimization magnitude for optimizing the electronic control command, and the electronic control command is optimized. Step S500 of this application further includes:

[0067] Step S510: Based on the control deviation, the decision mapping obtains the optimization range for optimizing the base swashplate angle. This is achieved by collecting sample control deviations, evaluating the sample optimization ranges, constructing an optimization range mapping table for decision mapping, and ensuring that the magnitude of the control deviation is positively correlated with the magnitude of the optimization range.

[0068] Step S520: With the aim of making the actual electronically controlled displacement ratio close to the ideal electronically controlled displacement ratio, construct a displacement optimization function, as follows:

[0069]

[0070] Where DOF represents displacement fitness, and K lFor the ideal electronically controlled displacement ratio, K r To optimize the theoretical electronically controlled displacement ratio at the swashplate angle, K w The error in the electronically controlled displacement ratio is formed by the actual arrangement error under optimized swashplate angle for arrangement control.

[0071] Step S530: Based on the displacement optimization function and the optimization range, optimize the basic swashplate angle to obtain the optimal swashplate angle and generate optimized electronic control commands.

[0072] For example, under different operating conditions, the plunger pump is run and the base swashplate angle in the electronic control commands is recorded. Simultaneously, the control deviation between the actual displacement and the ideal displacement is measured and recorded. For each control deviation, its appropriate optimization magnitude for the base swashplate angle is evaluated. The collected sample control deviations and optimization magnitudes are organized into data pairs. Based on these data pairs, an optimization magnitude mapping table is constructed, which takes the control deviation as input and the optimization magnitude as output. Furthermore, to comprehensively reflect the mapping situation, interpolation or fitting methods can be used to enable the mapping table to handle continuous control deviation values. During actual testing, when a new control deviation is detected in real time, the optimization magnitude mapping table is consulted, or interpolation or fitting methods are used to find the corresponding optimization magnitude for that control deviation, and an optimization magnitude decision is made.

[0073] Simultaneously, when constructing the optimization magnitude mapping table, it should be ensured that the magnitude of the control deviation is positively correlated with the magnitude of the optimization magnitude. That is, as the control deviation increases, the optimization magnitude should also increase accordingly to more effectively reduce the deviation. In practical applications, the accuracy of the mapping table needs to be ensured through regular checks and updates. If the relationship in the mapping table is found to no longer satisfy the positive correlation, it may be necessary to re-collect sample data and update the mapping table. Finally, the optimization magnitude obtained from the decision mapping is applied to the adjustment of the base swashplate angle. For example, if the control deviation is positive (actual displacement is less than ideal displacement), the base swashplate angle is increased to increase displacement; conversely, if the control deviation is negative (actual displacement is greater than ideal displacement), the base swashplate angle is decreased to decrease displacement.

[0074] Furthermore, in order to make the actual displacement ratio as close as possible to the ideal displacement ratio, thereby minimizing control deviation and finding the optimal swashplate angle, a displacement optimization function is constructed, specifically as follows: Where DOF represents displacement fitness, and K l For the ideal electronically controlled displacement ratio, K r To optimize the theoretical electronically controlled displacement ratio at the swashplate angle, K wThe error in the electronically controlled displacement ratio is formed by the actual arrangement error under the optimized swashplate angle for arrangement control. Furthermore, based on the displacement optimization function, the basic swashplate angle is optimized using the optimization amplitude to obtain the optimal swashplate angle, and an optimized electronic control command is generated to optimize the displacement control of the piston pump.

[0075] Furthermore, based on the displacement optimization function and using the optimization magnitude, the basic swashplate angle is optimized. Step S530 of this application further includes:

[0076] Step S531: Using the optimization amplitude, adjust the base swashplate angle to obtain the first swashplate angle.

[0077] Step S532: Obtain the first sliding stroke of the multiple plungers in the multiple cylinders under the first swashplate angle, and obtain the first theoretical electronically controlled displacement ratio under the first swashplate angle.

[0078] Step S533: Index the wear distribution of the multiple correction cylinder blocks and the wear distribution of the multiple correction plungers according to the first sliding stroke to obtain multiple first stroke total wear parameters, calculate the first error electronically controlled displacement ratio, and calculate the first displacement fitness based on the displacement optimization function.

[0079] Step S534: Continue optimization until convergence, output the swashplate angle with the largest displacement adaptability as the optimal swashplate angle, and generate optimized electronic control commands.

[0080] Specifically, the current base swashplate angle is obtained from the electronic control commands, and adjusted according to the previously determined optimization range to obtain the first swashplate angle. Based on the first swashplate angle, the first sliding stroke of multiple pistons in multiple cylinder blocks is calculated, and the first theoretical electronically controlled displacement ratio is calculated based on the first swashplate angle and the piston pump design parameters. Next, the first sliding stroke is indexed in the wear distributions of multiple corrected cylinder blocks and multiple corrected pistons, and the total wear parameters of multiple first strokes are calculated based on the indexing results. The displacement loss due to wear is calculated using the total wear parameters of the first strokes, and then the first error electronically controlled displacement ratio is calculated. The first error electronically controlled displacement ratio is substituted into the displacement optimization function to calculate the first displacement fitness. The convergence conditions are checked (e.g., displacement fitness is below a certain threshold, optimization range is less than a certain preset value, or the maximum number of iterations is reached). If the convergence conditions are not met, optimization continues. Based on the current swashplate angle, the error electronically controlled displacement ratio, and the displacement optimization function, a new optimization range is calculated, and this range is applied to adjust the swashplate angle to obtain the new swashplate angle. The optimization process is repeated until the preset convergence condition is met. When the optimization process converges, the swashplate angle that maximizes displacement adaptability is taken as the optimal swashplate angle. Finally, optimized electronic control commands are generated based on the optimal swashplate angle and other necessary control parameters.

[0081] Through the technical solutions of the above embodiments, the plunger pump displacement control method based on electronic proportional control provided in this application solves the technical problems of low control accuracy and poor control effect due to the limited adjustment range in plunger pump control, which affects the stability and reliability of the system and lacks intelligent control to respond to complex working conditions. It achieves the technical effect of adaptive response to complex working conditions, precise control of plunger pump displacement based on plunger pump wear analysis, improving equipment performance and reliability, and ensuring accurate and stable operation of the equipment.

[0082] Example 2

[0083] Based on the same inventive concept as the electronically controlled proportional plunger pump displacement control method in the foregoing embodiments, such as Figure 2 As shown, this application provides an electronically controlled proportional plunger pump displacement control system, the system comprising:

[0084] Wear detection module 11 is used to perform surface wear detection on the inner surfaces of multiple cylinders and the outer surfaces of multiple plunger slides in the plunger pump, and to obtain multiple visual cylinder wear distributions and multiple visual plunger wear distributions, wherein the multiple cylinders and multiple plunger slides cooperate to form multiple sets of plunger pairs.

[0085] The laser scanning module 12 is used to perform laser scanning detection on the inner surface of the multiple cylinder bodies and the outer surface of the multiple plunger sliding surfaces based on the laser scanning equipment, to obtain multiple laser cylinder wear distributions and multiple laser plunger wear distributions, and to fuse the multiple visual cylinder wear distributions and multiple visual plunger wear distributions to obtain multiple fused cylinder wear distributions and multiple fused plunger wear distributions.

[0086] The wear correction module 13 is used to acquire metal wear monitoring data recorded during the use of the plunger pump, correct the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers, and obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions.

[0087] The deviation analysis module 14 is used to acquire the electronic control command for current displacement control, and analyze the control deviation of the electronic control command for displacement control based on the wear distribution of the multiple correction cylinder blocks and the wear distribution of the multiple correction plungers. The electronic control command includes the basic swashplate angle and the ideal electronic control displacement ratio.

[0088] The optimization decision module 15 is used to determine the optimization range for optimizing the electronic control command based on the magnitude of the control deviation, optimize the base swashplate angle, obtain optimized electronic control command, and perform displacement control, wherein the optimization aims to make the actual electronic control displacement ratio of the actual displacement control close to the ideal electronic control displacement ratio.

[0089] Furthermore, the wear detection module 11 is also used to perform the following steps:

[0090] Images were acquired from the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston slides within the piston pump, resulting in multiple cylinder body images and multiple piston images.

[0091] Based on the visual inspection data of piston pump wear, a set of sample cylinder block images and a set of sample visual cylinder block wear information are collected to train a cylinder block wear visual recognition branch. A set of sample piston images and a set of sample visual piston wear information are collected to train a piston wear visual recognition branch. The sample visual cylinder block wear information includes multiple cylinder block wear parameters and multiple wear location parameters.

[0092] Connect the cylinder block wear visual recognition branch and the plunger wear visual recognition branch to obtain a plunger pump wear visual recognition device.

[0093] Based on the plunger pump wear visual recognition device, the multiple cylinder block images and multiple plunger images are recognized to obtain multiple visual cylinder block wear information and multiple visual plunger wear information, and to construct multiple visual cylinder block wear distributions and multiple visual plunger wear distributions.

[0094] Furthermore, the laser scanning module 12 is also used to perform the following steps:

[0095] Laser scanning was performed on the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston sliding surfaces within the piston pump to obtain point cloud data for multiple cylinder bodies and multiple pistons.

[0096] Based on the wear laser detection data of the plunger pump, sample cylinder block point cloud data set and sample plunger point cloud data set are collected, and the wear parameters and wear locations of the inner surface of the cylinder block and the outer surface of the plunger are marked to obtain sample laser cylinder block wear information set and sample laser plunger wear information set.

[0097] Using the sample cylinder point cloud data set and the sample laser cylinder wear information set, a cylinder wear laser recognition branch is trained, and using the sample plunger point cloud data set and the sample laser plunger wear information set, a plunger pump wear laser recognition branch is trained to obtain a plunger pump wear laser recognizer.

[0098] The plunger pump wear laser identifier is used to identify the point cloud data of multiple cylinder blocks and multiple plunger points to obtain multiple laser cylinder block wear distributions and multiple laser plunger wear distributions.

[0099] Furthermore, the laser scanning module 12 is also used to perform the following steps:

[0100] Construct multiple cylinder coordinate systems and multiple piston coordinate systems for the inner surfaces of the multiple cylinder bodies and the outer surfaces of the multiple piston slides.

[0101] The wear distributions of the multiple visual cylinder blocks and the wear distributions of the multiple visual plungers, as well as the wear distributions of the multiple laser cylinder blocks and the wear distributions of the multiple laser plungers, are mapped into the coordinate systems of the multiple cylinder blocks and the multiple plungers. The visual wear parameters and laser wear parameters of each coordinate point are indexed and calculated and fused to obtain multiple fused cylinder block wear distributions and multiple fused plunger wear distributions.

[0102] Furthermore, the wear correction module 13 is also used to perform the following steps:

[0103] Data on metal wear particles in the oil during the operation of the plunger pump are obtained to determine the actual total wear.

[0104] Based on the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers, the total wear amount is extracted and obtained. Combined with the actual total wear amount, the wear amount error is calculated.

[0105] Based on the identified wear error, the wear parameters within the wear distributions of the multiple fusion cylinder blocks and the multiple fusion plungers are uniformly corrected to obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions.

[0106] Furthermore, the deviation analysis module 14 is also used to perform the following steps:

[0107] Obtain the electronic control command for current displacement control, which includes the base swashplate angle and the ideal electronic displacement ratio.

[0108] Based on the base swashplate angle, the sliding stroke of multiple plungers in multiple cylinders is obtained. Based on the sliding stroke, the wear distribution of multiple correction cylinders and the wear distribution of multiple correction plungers are indexed to obtain the total wear parameters of multiple strokes.

[0109] Based on the total wear parameters of the multiple strokes, the control deviation for displacement control according to the ideal electronically controlled displacement ratio is calculated.

[0110] Furthermore, the optimization decision module 15 is also used to perform the following steps:

[0111] Based on the control deviation, the decision mapping obtains the optimization range for optimizing the base swashplate angle. Specifically, by collecting sample control deviations and evaluating the sample optimization ranges, an optimization range mapping table is constructed for decision mapping. The magnitude of the control deviation is positively correlated with the magnitude of the optimization range.

[0112] With the aim of ensuring that the actual electronically controlled displacement ratio is close to the ideal electronically controlled displacement ratio, a displacement optimization function is constructed, as follows:

[0113]

[0114] Where DOF represents displacement fitness, and K l For the ideal electronically controlled displacement ratio, K r To optimize the theoretical electronically controlled displacement ratio at the swashplate angle, K w The error in the electronically controlled displacement ratio is formed by the actual arrangement error under optimized swashplate angle for arrangement control.

[0115] Based on the displacement optimization function and the optimization range, the basic swashplate angle is optimized to obtain the optimal swashplate angle and generate optimized electronic control commands.

[0116] Furthermore, the optimization decision module 15 is also used to perform the following steps:

[0117] The base swashplate angle is adjusted using the aforementioned optimization range to obtain the first swashplate angle.

[0118] The first sliding stroke of multiple plungers in multiple cylinders under the first swashplate angle is obtained, and the first theoretical electronically controlled displacement ratio under the first swashplate angle is obtained.

[0119] Based on the first sliding stroke, index the wear distribution of the multiple correction cylinder blocks and the wear distribution of the multiple correction plungers to obtain multiple first stroke total wear parameters, calculate the first error electronically controlled displacement ratio, and calculate the first displacement fitness based on the displacement optimization function.

[0120] Continue optimization until convergence, output the swashplate angle with the highest displacement adaptability as the optimal swashplate angle, and generate optimized electronic control commands.

[0121] Through the foregoing detailed description of the electronically controlled proportional plunger pump displacement control method, those skilled in the art can clearly understand the electronically controlled proportional plunger pump displacement control system in this embodiment. As the device disclosed in the embodiment corresponds to the method disclosed in the embodiment, the description is relatively simple, and relevant parts can be referred to the method section.

[0122] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the displacement of a plunger pump based on electronic proportional control, characterized in that, The method includes: Surface wear detection is performed on the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston slides in the piston pump to obtain multiple visual cylinder wear distributions and multiple visual piston wear distributions. The multiple cylinder bodies and multiple piston slides are matched one by one to form multiple sets of piston pairs. Based on a laser scanning device, laser scanning detection is performed on the inner surface of the multiple cylinder bodies and the outer surface of the multiple plungers to obtain multiple laser cylinder wear distributions and multiple laser plunger wear distributions. The multiple visual cylinder wear distributions and multiple visual plunger wear distributions are then fused to obtain multiple fused cylinder wear distributions and multiple fused plunger wear distributions. The metal wear monitoring data of the plunger pump during use is obtained, and the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers are corrected to obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions. The electronic control command for current displacement control is obtained, and the control deviation of the displacement control is analyzed based on the wear distribution of the multiple correction cylinder blocks and the wear distribution of the multiple correction plungers. The electronic control command includes the base swashplate angle and the ideal electronic displacement ratio. Based on the magnitude of the control deviation, a decision is made to optimize the electronic control command, the base swashplate angle is optimized, and an optimized electronic control command is obtained for displacement control. The optimization aims to make the actual electronic control displacement ratio close to the ideal electronic control displacement ratio.

2. The method for controlling the displacement of a plunger pump based on electronic proportional control according to claim 1, characterized in that, Surface wear detection was performed on multiple inner surfaces of the cylinder body and multiple outer surfaces of the piston sliding contact within the piston pump. Multiple visual cylinder body wear distributions and multiple visual piston wear distributions were obtained, including: Images were acquired from the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston sliding surfaces within the piston pump to obtain multiple cylinder body images and multiple piston images. Based on the visual inspection data of piston pump wear, a set of sample cylinder block images and a set of sample visual cylinder block wear information are collected to train a cylinder block wear visual recognition branch. A set of sample piston images and a set of sample visual piston wear information are collected to train a piston wear visual recognition branch. The sample visual cylinder block wear information includes multiple cylinder block wear parameters and multiple wear location parameters. Connect the cylinder block wear visual recognition branch and the plunger wear visual recognition branch to obtain a plunger pump wear visual recognizer; Based on the plunger pump wear visual recognition device, the multiple cylinder block images and multiple plunger images are recognized to obtain multiple visual cylinder block wear information and multiple visual plunger wear information, and to construct multiple visual cylinder block wear distributions and multiple visual plunger wear distributions.

3. The method for controlling the displacement of a plunger pump based on electronic proportional control according to claim 1, characterized in that, Based on laser scanning, laser scanning detection is performed on the inner surface of the multiple cylinder bodies and the outer surface of the multiple plunger sliding surfaces to obtain the wear distribution of multiple laser-driven cylinder bodies and the wear distribution of multiple laser-driven plungers, including: Laser scanning detection was performed on the inner surfaces of multiple cylinder bodies and the outer surfaces of multiple piston sliding surfaces in the piston pump to obtain point cloud data of multiple cylinder bodies and multiple pistons. Based on the wear laser detection data of the plunger pump, sample cylinder point cloud data set and sample plunger point cloud data set are collected, and the wear parameters and wear positions of the inner surface of the cylinder and the outer surface of the plunger are marked to obtain sample laser cylinder wear information set and sample laser plunger wear information set. Using the sample cylinder point cloud data set and the sample laser cylinder wear information set, a cylinder wear laser recognition branch is trained, and using the sample plunger point cloud data set and the sample laser plunger wear information set, a plunger pump wear laser recognition branch is trained to obtain a plunger pump wear laser recognizer. The plunger pump wear laser identifier is used to identify the point cloud data of multiple cylinder blocks and multiple plunger points to obtain multiple laser cylinder block wear distributions and multiple laser plunger wear distributions.

4. The method for controlling the displacement of a plunger pump based on electronic proportional control according to claim 1, characterized in that, By fusing the multiple vision cylinder wear distributions and multiple vision plunger wear distributions, multiple fused cylinder wear distributions and multiple fused plunger wear distributions are obtained, including: Construct multiple cylinder coordinate systems and multiple piston coordinate systems for the inner surfaces of the multiple cylinder bodies and the outer surfaces of the multiple piston slides; The wear distributions of the multiple visual cylinder blocks and the wear distributions of the multiple visual plungers, as well as the wear distributions of the multiple laser cylinder blocks and the wear distributions of the multiple laser plungers, are mapped into the coordinate systems of the multiple cylinder blocks and the multiple plungers. The visual wear parameters and laser wear parameters of each coordinate point are indexed and calculated and fused to obtain multiple fused cylinder block wear distributions and multiple fused plunger wear distributions.

5. The method for controlling the displacement of a plunger pump based on electronic proportional control according to claim 1, characterized in that, The metal wear monitoring data of the plunger pump during use is acquired, and the wear distribution of the multiple fusion cylinder blocks and the multiple fusion plungers is corrected to obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions, including: The actual total wear amount is obtained by acquiring the detection data of metal wear particles in the oil during the operation of the plunger pump. Based on the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers, the total wear amount is extracted and obtained. Combined with the actual total wear amount, the wear amount error is calculated. Based on the identified wear error, the wear parameters within the wear distributions of the multiple fusion cylinder blocks and the multiple fusion plungers are uniformly corrected to obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions.

6. The method for controlling the displacement of a plunger pump based on electronic proportional control according to claim 1, characterized in that, Obtain the electronic control command currently used for displacement control, and analyze the control deviation of the displacement control based on the multiple correction cylinder wear distributions and multiple correction plunger wear distributions, including: Obtain the current electronic control command for displacement control, the electronic control command including the base swashplate angle and the ideal electronic control displacement ratio; Based on the base swashplate angle, the sliding stroke of multiple plungers in multiple cylinders is obtained. Based on the sliding stroke, the wear distribution of multiple correction cylinders and the wear distribution of multiple correction plungers are indexed to obtain the total wear parameter of multiple strokes. Based on the total wear parameters of the multiple strokes, the control deviation for displacement control according to the ideal electronically controlled displacement ratio is calculated.

7. The method for controlling the displacement of a plunger pump based on electronic proportional control according to claim 1, characterized in that, Based on the magnitude of the control deviation, a decision is made regarding the optimization magnitude for the electronic control commands, and the electronic control commands are optimized, including: Based on the control deviation, the decision mapping obtains the optimization range for optimizing the base swashplate angle. Specifically, by collecting sample control deviations and evaluating the sample optimization ranges, an optimization range mapping table is constructed for decision mapping. The magnitude of the control deviation is positively correlated with the magnitude of the optimization range. With the aim of ensuring that the actual electronically controlled displacement ratio is close to the ideal electronically controlled displacement ratio, a displacement optimization function is constructed, as follows: Where DOF represents displacement fitness, and K l For the ideal electronically controlled displacement ratio, K r To optimize the theoretical electronically controlled displacement ratio at the swashplate angle, K w The error ratio of the electronically controlled displacement is formed by the actual arrangement error under optimized swashplate angle for arrangement control. Based on the displacement optimization function and the optimization range, the basic swashplate angle is optimized to obtain the optimal swashplate angle and generate optimized electronic control commands.

8. The method for controlling the displacement of a plunger pump based on electronic proportional control according to claim 7, characterized in that, Based on the displacement optimization function and using the optimization magnitude, the basic swashplate angle is optimized, including: Using the aforementioned optimization range, the base swashplate angle is adjusted to obtain the first swashplate angle; Obtain the first sliding stroke of multiple plungers in multiple cylinders under the first swashplate angle, and obtain the first theoretical electronically controlled displacement ratio under the first swashplate angle; Based on the first sliding stroke, index the wear distribution of the multiple correction cylinder blocks and the wear distribution of the multiple correction plungers to obtain multiple first stroke total wear parameters, calculate the first error electronically controlled displacement ratio, and calculate the first displacement fitness based on the displacement optimization function; Continue optimization until convergence, output the swashplate angle with the highest displacement adaptability as the optimal swashplate angle, and generate optimized electronic control commands.

9. A piston pump displacement control system based on electronic proportional control, characterized in that, The system for implementing the method according to any one of claims 1-8 comprises: The wear detection module is used to perform surface wear detection on the inner surfaces of multiple cylinders and the outer surfaces of multiple plunger slides in the plunger pump, and to obtain multiple visual cylinder wear distributions and multiple visual plunger wear distributions. The multiple cylinders and multiple plunger slides are matched one by one to form multiple sets of plunger pairs. The laser scanning module is used to perform laser scanning detection on the inner surface of the multiple cylinders and the outer surface of the multiple plungers based on the laser scanning equipment, to obtain multiple laser cylinder wear distributions and multiple laser plunger wear distributions, and to fuse the multiple visual cylinder wear distributions and multiple visual plunger wear distributions to obtain multiple fused cylinder wear distributions and multiple fused plunger wear distributions. The wear correction module is used to acquire metal wear monitoring data recorded during the use of the plunger pump, correct the wear distribution of the multiple fusion cylinder blocks and the wear distribution of the multiple fusion plungers, and obtain multiple corrected cylinder block wear distributions and multiple corrected plunger wear distributions. The deviation analysis module is used to acquire the electronic control command for current displacement control, and analyze the control deviation of the electronic control command for displacement control based on the wear distribution of the multiple correction cylinder blocks and the wear distribution of the multiple correction plungers. The electronic control command includes the basic swashplate angle and the ideal electronic control displacement ratio. The optimization decision module is used to determine the optimization range for the electronic control command based on the magnitude of the control deviation, optimize the base swashplate angle, obtain optimized electronic control commands, and perform displacement control, wherein the optimization aims to make the actual electronic control displacement ratio of the actual displacement control close to the ideal electronic control displacement ratio.

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