Plunger pump assembling, adjusting and detecting system

Abstract

The invention relates to the technical field of general control or regulation systems, and provides a plunger pump assembly regulation detection system, a multi-parameter synchronous detection module integrates various sensors and synchronously acquires parameters such as pressure, flow, displacement and rotating speed, and compared with traditional one-by-one detection, the detection time is greatly shortened, the detection efficiency is improved, and the detection cost is reduced. Rich data can be quickly provided for subsequent analysis; the intelligent data analysis and processing module constructs a mathematical model, can accurately judge the working state of the pump and accurately recognize leakage, blockage and other faults, and is different from an existing mode based on experience or simple analysis, and provided adjustment suggestions are more scientific and targeted. The automatic detection process control module realizes full-process automation from information input, report generation and feedback to the production line, excessive manual intervention is not needed, human errors are avoided, the continuity of the production line is guaranteed, and production stagnation is often caused by detection delay in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of general control or regulation systems, and particularly to a plunger pump assembly adjustment and detection system. Background Art

[0002] In the field of plunger pump manufacturing, traditional assembly adjustment and detection systems have many technical bottlenecks. In the detection link, in the past, the method of detecting parameters one by one was mostly adopted, and key parameters such as pressure, flow rate, displacement, and rotational speed needed to be measured and analyzed one by one. The process was cumbersome and time-consuming. This not only led to extremely low detection efficiency, making it difficult to quickly provide comprehensive data support for assembly adjustment, but also greatly affected the progress speed of the production process, easily causing the production line to stagnate or be delayed, and significantly increasing production costs.

[0003] In terms of fault judgment and adjustment, existing technologies often lack accurate judgment bases. Most rely on manual experience or simple threshold judgment, making it difficult to accurately identify complex faults such as leakage, blockage, and wear. The adjustment suggestions given also lack scientificity and pertinence, resulting in difficult-to-guarantee product quality and a high defective rate. At the same time, the existing detection system has a low degree of automation. From starting the detection equipment to generating a report and feedback the results, a large amount of manual intervention is required, which not only easily introduces human errors, but also cannot be efficiently connected with the production line control system, making it difficult to ensure the continuity of production.

[0004] Therefore, a plunger pump assembly adjustment and detection system is proposed, aiming to improve detection efficiency, accuracy, and production continuity through multi-parameter synchronous detection, intelligent data analysis, and automated process control. Summary of the Invention

[0005] Technical Problems to be Solved

[0006] Aiming at the existing detection system that needs to detect and analyze multiple parameters of the plunger pump one by one, and it is difficult to quickly give comprehensive detection results, which greatly affects the efficiency of assembly adjustment. On the production line, if the detection system cannot complete the detection in time, it will lead to the stagnation or delay of the production process, increase production costs, and reduce production efficiency. The present invention provides a plunger pump assembly adjustment and detection system.

[0007] Technical Solutions

[0008] To achieve the above solution purpose, the present invention provides the following technical solutions: A plunger pump assembly adjustment and detection system includes the following modules:

[0009] A multi-parameter synchronous detection module, integrating a pressure sensor, a flow sensor, a displacement sensor, and a rotational speed sensor. Each sensor is connected to a central processor through a data acquisition card, and is used to simultaneously collect the pressure, flow rate, displacement, and rotational speed parameters when the plunger pump is working.

[0010] Intelligent data analysis and processing module. The central processing unit uses specific algorithms to comprehensively analyze the data collected by the multi-parameter synchronous detection module. By establishing a mathematical model of the plunger pump, it compares the collected data with the model to judge the working state of the plunger pump and gives adjustment suggestions.

[0011] Automated detection process control module. According to the preset detection program, after receiving information such as the model of the plunger pump to be detected, it automatically starts the detection equipment to complete parameter detection, generates a detection report and transmits it to the production line control system, and automatically alarms when the detection is unqualified.

[0012] Preferably, in the multi-parameter synchronous detection module, the pressure sensor is installed at the inlet, outlet and key internal pressure monitoring points of the pump body, the flow sensor is installed on the output pipeline, the displacement sensor is installed at a position where the plunger displacement can be accurately detected, and the rotational speed sensor is installed at one end of the pump shaft. And the installation positions of each sensor ensure that the measurement is not interfered by other components of the pump body.

[0013] Preferably, the data acquisition card is a device with a high-speed sampling rate and multi-channel synchronous acquisition function. Its sampling rate can be adjusted in the range of 10kHz - 100kHz according to the parameter change frequency of the plunger pump to meet the requirements of multi-parameter real-time synchronous acquisition.

[0014] Preferably, in the plunger pump mathematical model established by the intelligent data analysis and processing module, the output flow model is , where is the plunger diameter, is the plunger stroke, is the number of plungers, is the pump shaft rotational speed, is the volumetric efficiency.

[0015] Preferably, the internal pressure model of the pump body established by the intelligent data analysis and processing module is , where is the cross-sectional area of the plunger, is the load, is the output flow, is the pressure difference between the inlet and outlet of the pump, is the displacement of the pump, is the mechanical efficiency.

[0016] Preferably, the intelligent data analysis and processing module uses a fault diagnosis algorithm based on Bayesian network. By the formula calculate the probability of the fault type occurring when observing the parameter , where is the probability of observing the parameter when the fault type occurs. is the prior probability of the occurrence of the fault type and is the probability of the observed parameter

[0017] Preferably, when starting the detection equipment, the automated detection process control module starts the pressure sensor, flow sensor, displacement sensor, and rotational speed sensor in sequence, and there is a stable time of 0.5 to 1 second after each sensor is started.

[0018] Preferably, during the detection process, the automated detection process control module monitors the data acquisition situation in real time. When the data shows jumps, exceeds the range, or the transmission is interrupted, it automatically pauses the detection, issues an alarm, and attempts to recover from the fault by restarting the sensor or checking the connection line.

[0019] Preferably, the detection report generated by the automated detection process control module adopts the PDF format, and the report content includes the basic information of the plunger pump, the measured values of each parameter and the change trend chart, the comparison result with the standard value, the judgment conclusion of the working state, the fault type, and the detailed adjustment suggestions.

[0020] Preferably, the automated detection process control module and the production line control system perform data transmission through the Ethernet interface to ensure that the detection results are timely and accurately fed back to ensure the continuity of the production line.

[0021]

[0022] Advantageous Effects

[0022] Compared with the prior art, the present invention provides a plunger pump assembly adjustment and detection system, which has the following advantageous effects:

[0023] 1. For the plunger pump assembly adjustment and detection system, the multi-parameter synchronous detection module integrates multiple sensors and synchronously collects parameters such as pressure, flow, displacement, and rotational speed. Compared with the traditional one-by-one detection, it greatly shortens the detection time, improves the detection efficiency, and quickly provides rich data for subsequent analysis; the intelligent data analysis and processing module constructs a mathematical model, which can accurately judge the working state of the pump and accurately identify faults such as leakage and blockage. Different from the existing methods relying on experience or simple analysis, the adjustment suggestions provided are more scientific and targeted; the automated detection process control module realizes the full process automation, from inputting information to generating a report and feeding it back to the production line, without too much manual intervention, avoiding human errors, and at the same time ensuring the continuity of the production line, while the prior art often causes production stagnation due to detection delays. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0026] Please refer to Figure 1 , the present invention provides a plunger pump assembly adjustment and detection system, including the following:

[0027] 1. Multi-parameter synchronous detection module

[0028] 1.1 Functions and effects

[0029] By integrating a variety of high-precision sensors, parameter information such as pressure, flow rate, displacement, and rotational speed of the pump body during operation is obtained comprehensively. These parameters reflect the complex mechanical motion and hydraulic transmission state inside the plunger pump, providing a rich and real data basis for the subsequent intelligent data analysis and processing module.

[0030] 1.2 Implementation steps

[0031] Selection and installation of pressure sensors: A piezoresistive pressure sensor is selected, which has high precision, high sensitivity, and good dynamic response characteristics. According to the different pressure monitoring requirements of the plunger pump, pressure sensors are installed at key positions such as the oil suction port, oil outlet of the pump body, and the connection between the plunger cavity and the valve plate. The sensor installed at the oil suction port is used to monitor the pressure change during the oil suction process. During normal operation, the pressure should be within a specific negative pressure range. If the pressure rises abnormally, it may indicate problems such as blockage of the oil suction pipeline. The pressure sensor at the oil outlet provides real-time feedback on the pump output pressure, which is closely related to the pump load and displacement. Installing a sensor at the connection between the plunger cavity and the valve plate can accurately capture the pressure fluctuations during the oil distribution process. Abnormal pressure fluctuations at this position often imply potential faults such as valve plate wear and seal failure. During installation, it is necessary to ensure that the measurement end of the sensor is in full contact with the oil inside the pump body, and the installation position is stable to avoid affecting the measurement accuracy due to vibration and other factors.

[0032] Selection and Arrangement of Flow Sensors: An electromagnetic flow sensor is used to measure the output flow of the piston pump. The electromagnetic flow sensor has the advantages of high measurement accuracy, wide range, and low fluid resistance, and is suitable for the complex flow conditions of the piston pump. It is installed on the output pipeline of the piston pump, and the installation position should be far away from parts that may cause fluid turbulence such as pipeline elbows and valves to ensure the accuracy of measurement. The diameter of the sensor needs to be precisely matched with the output pipeline to ensure that the fluid can pass through the measurement area of the sensor smoothly. During the installation process, the operation should be carried out strictly in accordance with the sensor installation instructions to ensure that the electrode axis of the sensor is perpendicular to the pipeline axis and avoid measurement errors caused by improper installation.

[0033] Setting and Connection of Displacement Sensors: For the detection of piston displacement, a linear variable differential transformer (LVDT) displacement sensor is selected. The LVDT displacement sensor has the characteristics of high precision, strong reliability, and flexible measurement range, and can accurately detect the reciprocating displacement of the piston in the cylinder block. The measuring end of the displacement sensor is rigidly connected to the piston through a special connector to ensure that the sensor can perceive the position change of the piston in real time and accurately during the reciprocating movement of the piston. At the same time, attention should be paid to the installation position of the sensor to avoid interference with other moving parts of the pump body, and it is necessary to ensure that the installation bracket of the sensor has sufficient rigidity to prevent the measurement accuracy from being affected by vibration or deformation.

[0034] Installation and Debugging of Rotational Speed Sensors: A Hall rotational speed sensor is installed at one end of the pump shaft. The Hall rotational speed sensor uses the Hall effect principle to accurately measure the rotational speed of the pump shaft by detecting the magnetic field change generated when the pump shaft rotates. During installation, the sensing head of the sensor is aligned with the magnetic coding disk on the pump shaft to ensure that the gap between the two meets the technical requirements of the sensor. Generally, the gap is controlled at about 1 - 2 mm. Too large a gap may cause the sensor signal to weaken or be lost, and too small a gap is likely to cause collision damage. After installation, the rotational speed sensor needs to be debugged. By connecting an external signal generator to simulate different rotational speeds of the pump shaft, check the accuracy and stability of the sensor output signal to ensure that the sensor can accurately reflect the actual rotational speed of the pump shaft.

[0035] Connection and Configuration of Data Acquisition Card: Select the PCI-6259 data acquisition card with high-speed sampling rate and multi-channel synchronous acquisition function. Its maximum sampling rate can reach 2.8MS / s, and it has 32 analog input channels, which can meet the requirements of multi-parameter synchronous acquisition of this system. Connect the output ends of the pressure sensor, flow sensor, displacement sensor, and rotational speed sensor to the corresponding analog input channels of the data acquisition card respectively. During the connection process, pay attention to the correct connection of the signal polarity to avoid data acquisition errors caused by reverse connection. After the connection is completed, install the driver program and supporting software of the data acquisition card in the computer, and configure the channel parameters of the data acquisition card in the software according to the output characteristics and measurement range of the sensor, including sampling rate, range, filtering method, etc. Setting an appropriate sampling rate is the key to ensuring data accuracy and real-time performance. For example, for a high-frequency reciprocating motion device such as a piston pump, the sampling rate can be set between 10kHz - 100kHz, which can not only fully capture the dynamic changes of parameters but also avoid excessive computer processing burden caused by excessive data volume.

[0036] 2. Intelligent Data Analysis and Processing Module

[0037] 2.1 Functions and Roles

[0038] The intelligent data analysis and processing module is the core brain of the entire system. Its main function is to deeply mine and analyze the massive data collected by the multi-parameter synchronous detection module. By constructing an accurate mathematical model of the piston pump and applying advanced algorithms, it can quickly and accurately judge whether the working state of the piston pump is normal, identify potential fault types, and give targeted adjustment suggestions.

[0039] 2.2 Implementation Steps

[0040] Mathematical Model Construction

[0041] Flow Model: Taking the axial piston pump as an example, its output flow is related to multiple key structural parameters and operating parameters. The calculation formula for the output flow is:

[0042] Among them, represents the piston diameter (mm), which is a key dimensional parameter determining the single displacement of the piston; is the piston stroke (mm), and the size of the piston stroke directly affects the displacement of the pump; is the number of pistons. The more the number of pistons, the greater the output flow of the pump under the same conditions; is the pump shaft speed (r / min), and the pump shaft speed has a linear relationship with the output flow; is the volumetric efficiency (dimensionless). The volumetric efficiency reflects the flow loss of the pump during actual operation due to factors such as leakage. It is affected by various factors such as the sealing performance of the pump and the mating clearance. By accurately measuring or knowing these parameters, the theoretical output flow can be precisely calculated using this formula. Comparing it with the actual measured flow can determine whether there are abnormal flow problems such as leakage in the pump.

[0043] Pressure model: The internal pressure of the pump body changes complexly and is closely related to the output flow , load , the mechanical efficiency of the pump and the displacement of the pump and other factors. Under a simplified model that ignores secondary factors such as pipeline losses, the formula for pressure is:

[0044] Among them, is the cross-sectional area of the plunger (mm²), which is determined by the plunger diameter , ; is the pressure difference between the inlet and outlet of the pump (MPa). It is an important indicator to measure the working ability of the pump. The greater the pressure difference between the inlet and outlet, the stronger the ability of the pump to overcome the load and do work; is the displacement of the pump (mL / r), and the size of the displacement is related to the structural design of the pump; is the mechanical efficiency (dimensionless). The mechanical efficiency reflects the loss during the conversion of mechanical energy in the pump and is affected by factors such as the mechanical structure of the pump and the lubrication conditions. By establishing a pressure model, the internal pressure of the pump body can be predicted based on known parameters such as load and flow, and compared with the actual measured pressure to analyze the working state and performance of the pump.

[0045] Displacement and rotation angle relationship model: For an axial piston pump with a swash plate, there is a specific functional relationship between the plunger displacement and the pump shaft rotation angle . Under ideal conditions, the relationship between the plunger displacement and the pump shaft rotation angle is:

[0046] Among them, is the diameter of the plunger distribution circle (mm). It is an important structural parameter of the pump and determines the range of the plunger's movement trajectory; is the pump shaft rotation angle (rad). The rotation of the pump shaft drives the plunger to move reciprocally; Let \(\theta\) be the swashplate angle (°). The change of the swashplate angle directly affects the stroke of the plunger, thus changing the displacement of the pump. Through this model, the plunger displacement can be deduced according to the pump shaft rotation angle and compared with the actually measured plunger displacement to detect whether the plunger movement is normal and whether there are faults in key components such as the swashplate.

[0047] Fault diagnosis algorithm: Adopt a fault diagnosis algorithm based on Bayesian network. Bayesian network is a probabilistic graphical model that can effectively handle uncertain information and complex relationships among multiple factors. Let \(X\) be the set of observed parameters, including actual measured values such as pressure, flow rate, displacement, and rotational speed; \(F\) be the set of possible fault types, such as common faults like leakage, blockage, and wear. According to Bayes' formula:

[0048] where, \(P(F_i|X)\) represents the probability that the fault type \(F_i\) occurs under the condition of observing the parameter \(X\). This is the posterior probability that we finally want to calculate and is used to judge the actually occurring fault type; \(P(X|F_i)\) is the probability of observing the parameter \(F_i\) when the fault type \(X\) occurs. This probability is obtained through statistical analysis of a large amount of experimental data and actual operation data and reflects the change characteristics of each parameter under different fault types; \(P(F_i)\) is the prior probability that the fault type \(F_i\) occurs. The prior probability can be estimated based on the historical fault data, design life, and industry experience of the plunger pump. It represents the possibility of a certain fault type occurring before any observation data; \(P(X)\) is the probability of observing the parameter \(X\). In actual calculation, it can be obtained by summing \(P(X|F_i)\) under all possible fault types \(F_i\), that is . During the actual detection process, substitute the real-time parameters \(X\) collected by the multi-parameter synchronous detection module into the above Bayes' formula to calculate the posterior probability \(P(F_i|X)\) of various fault types \(F_i\). The fault type with the largest probability value is the most likely fault to occur. For example, when the calculated \(P(F_{leakage}|X)\) has the largest value, it can be judged that the plunger pump may have a leakage fault.

[0049] Adjustment Suggestion Generation: When the intelligent data analysis and processing module determines that there is a fault in the piston pump, corresponding adjustment suggestions are generated according to the fault type and the established mathematical model. For example, if it is detected that the pressure is too low and the flow rate is insufficient, the Bayesian network fault diagnosis algorithm is used to determine that it may be caused by piston wear and leakage. At this time, according to the flow rate model and the pressure model, the piston stroke that needs to be adjusted to restore the normal flow rate and pressure can be calculated. Suppose through model calculation, the current piston stroke is , to achieve the normal flow rate , the required piston stroke is , then it can be suggested that the operator adjust the swash plate angle (for swash plate axial piston pumps) or replace the piston with an appropriate length to increase the piston stroke to . At the same time, if it is determined that the insufficient flow rate is caused by too low pump shaft speed, the required increased speed value can be calculated according to the relationship model between the flow rate and the speed, and it is suggested that the operator increase the pump shaft speed by adjusting the motor frequency or other means. The adjustment suggestions are output in a standardized format to facilitate the subsequent processing and execution by the automated detection process control module.

[0050] 3. Automated Detection Process Control Module

[0051] 3.1 Functions and Roles

[0052] The automated detection process control module is like the commander of the entire detection system, responsible for overall coordination of each link to achieve fully automated operation of the detection process. Starting from receiving the basic information of the piston pump to be detected, to starting the detection equipment, collecting data, analyzing data, generating reports, and feeding back results, the entire process is automatically executed by this module according to the preset program.

[0053] 3.2 Implementation Steps

[0054] Information reception and system initialization: The automated detection process control module receives basic information such as the model and specifications of the plunger pump to be detected from external input through a specific data interface, such as receiving the detection task information sent by the production management system through the Ethernet interface. After receiving the information, the module first retrieves the detection program and parameter standards corresponding to the plunger pump of this model from the system database. The detection program contains detailed detection steps, sensor configuration information, data acquisition frequency and other detection process related parameters; the parameter standard clarifies the theoretical value range of each parameter of the plunger pump of this model under normal working conditions, such as normal pressure range, flow range, speed range, etc. At the same time, the automated detection process control module initializes system components such as the multi-parameter synchronous detection module and the intelligent data analysis and processing module. For the multi-parameter synchronous detection module, according to the sensor configuration information in the detection program, check and ensure that each sensor is correctly connected and in normal working condition, and calibrate and configure the sampling rate, range and other parameters of the sensor. For the intelligent data analysis and processing module, load the corresponding mathematical model and fault diagnosis algorithm, initialize the model parameters and algorithm operating environment, and ensure that the module can accurately and efficiently analyze and process the collected data.

[0055] Detection equipment startup and data acquisition control: According to the preset detection program, the automated detection process control module sends startup instructions to the multi-parameter synchronous detection module in turn. First, start the pressure sensor, wait for the pressure sensor to work stably for a period of time (generally 0.5 to 1 second), and ensure that its output signal is stable before starting the flow sensor, displacement sensor and speed sensor. Each sensor starts to collect data according to the set sampling frequency and synchronization mechanism. The data acquisition card converts the analog signal collected by the sensor into a digital signal in real time and transmits it to the central processor. The automated detection process control module monitors the data acquisition process in real time, and ensures the accuracy and integrity of the data by monitoring the status signal of the data acquisition card and the integrity verification information of the data transmission. If a sensor data abnormality (such as data jump, out of range, etc.) or data transmission is interrupted during the data acquisition process, the module immediately issues an alarm and suspends the data acquisition process, while trying to diagnose and recover the fault. For example, if it is determined that the data abnormality is caused by loose sensor connection, the module can issue a prompt message to guide the operator to check and reconnect the sensor, and restart the data acquisition process after the fault is eliminated.

[0056] Data Transmission and Analysis Coordination: After the data acquisition card transmits the acquired data to the central processing unit, the automated detection process control module coordinates the intelligent data analysis and processing module to analyze and process the data. It classifies and organizes the data according to the sensor type and detection parameters, and accurately transmits the organized data to the module according to the input requirements of the intelligent data analysis and processing module. During the data transmission process, an efficient data transmission protocol is adopted to ensure the speed and stability of data transmission. At the same time, the automated detection process control module monitors the running status of the intelligent data analysis and processing module in real time, such as the calculation resource usage of the module, the analysis progress, etc. If an abnormality is found in the analysis process (such as the algorithm falling into an infinite loop, the calculation resources being exhausted, etc.), the module takes corresponding measures in a timely manner, such as terminating the analysis task and giving an error prompt, and at the same time tries to restart the module or adjust the algorithm parameters to ensure the smooth progress of the analysis process.

[0057] Detection Result Processing and Report Generation: After the intelligent data analysis and processing module analyzes and processes the acquired data, it feeds back the detection results to the automated detection process control module. The detection results include the working status judgment of the plunger pump (normal or abnormal), the fault type if there is an abnormality, and the adjustment suggestions generated according to the fault type and other information. The automated detection process control module generates a detailed detection report based on the detection results. The detection report adopts a standardized document format, such as the PDF format. The report content includes the basic information of the plunger pump (model, specifications, etc.), the measured values of each parameter, the comparison with the parameter standards, the working status judgment result, the fault type (if any), and the adjustment suggestions, etc. The data in the report is presented in a combination of charts and text, which is intuitive and clear, facilitating the operation personnel and production management personnel to view and understand. For example, for the pressure parameter, the report not only lists the pressure measurement value, but also shows the change trend of the pressure during the detection process in the form of a line chart, and compares it with the normal pressure range curve, enabling the operation personnel to clearly understand whether the pressure is normal at a glance.

[0058] Result Transmission and Interaction with the Production Line: The automated inspection process control module transmits the generated inspection report to the production line control system through the data interface. If the inspection result shows that the plunger pump is working properly, the production line control system allows the plunger pump to enter the next production link for packaging or assembly into the whole machine system. If the inspection result is unqualified, the system will automatically issue an alarm, and the alarm methods include audible and visual alarms, popping up a prompt window on the production line monitoring interface, etc., to remind the operator to handle it in time. At the same time, the automated inspection process control module transmits the fault type and adjustment suggestion information to the operator, and the operator can adjust and repair the plunger pump according to the suggestions. After the adjustment is completed, the operator can send a re-inspection request to the automated inspection process control module through the operation terminal, and the module will start the inspection process again to inspect the adjusted plunger pump until the inspection is qualified, ensuring that only qualified products enter the subsequent production process and guaranteeing the continuity of the production line and the product quality.

[0059] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A plunger pump assembly adjustment detection system, characterized in that: Includes the following modules: Multi-parameter synchronous detection module, integrating pressure sensor, flow sensor, displacement sensor, speed sensor. Each sensor is connected to the central processor through a data acquisition card to simultaneously collect the pressure, flow, displacement and speed parameters of the plunger pump when it is working; Intelligent data analysis and processing module: The central processor uses a specific algorithm to conduct a comprehensive analysis of the data collected by the multi-parameter synchronous detection module. By establishing a mathematical model of the plunger pump, the collected data is compared with the model to determine the working status of the plunger pump and give adjustment suggestions; The automated inspection process control module, based on the preset inspection procedure, automatically starts the inspection equipment to complete parameter inspection after receiving information such as the model of the plunger pump to be inspected, generates an inspection report and transmits it to the production line control system, and automatically alarms if the inspection fails.

2. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: In the multi-parameter synchronous detection module, pressure sensors are installed at the inlet and outlet of the pump body and the key internal pressure monitoring points, the flow sensor is installed on the output pipe, the displacement sensor is installed at a position that can accurately detect the displacement of the plunger, and the speed sensor is installed at one end of the pump shaft. The installation positions of each sensor ensure that the measurement is not interfered with by other parts of the pump body.

3. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: The data acquisition card is a device with high-speed sampling rate and multi-channel synchronous acquisition functions. Its sampling rate can be adjusted in the range of 10kHz-100kHz according to the frequency of change of the plunger pump parameters to meet the needs of real-time synchronous acquisition of multiple parameters.

4. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: In the plunger pump mathematical model established by the intelligent data analysis and processing module, the output flow model is ,in is the plunger diameter, is the plunger stroke, is the number of plungers, is the pump shaft speed, is the volumetric efficiency.

5. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: The pump body internal pressure model established by the intelligent data analysis and processing module is: ,in is the cross-sectional area of ​​the plunger, For load, is the output flow, is the pressure difference between the pump inlet and outlet, is the pump displacement, For mechanical efficiency.

6. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: The intelligent data analysis and processing module adopts a fault diagnosis algorithm based on Bayesian network, through the formula Calculate the observed parameters Time Failure Type The probability of occurrence, Fault Type Parameters observed when it occurs The probability of Fault Type The prior probability of occurrence, For the observed parameters probability.

7. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: When the automatic detection process control module starts the detection equipment, the pressure sensor, the flow sensor, the displacement sensor, and the rotation speed sensor are started in sequence, and each sensor has a stabilization time of 0.5 to 1 second after being started.

8. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: The automated detection process control module monitors data collection in real time during the detection process. When data jumps, exceeds the range, or transmission is interrupted, the module automatically pauses detection, sounds an alarm, and attempts to recover from the fault by restarting the sensor or checking the connection line.

9. A plunger pump assembly adjustment detection system according to claim 8, characterized in that: The test report generated by the automated test process control module is in PDF format, and the report content includes basic information of the plunger pump, measurement values ​​of various parameters and change trend charts, comparison results with standard values, working status judgment conclusions, fault types and detailed adjustment suggestions.

10. A plunger pump assembly adjustment detection system according to claim 1, characterized in that: The automated inspection process control module and the production line control system perform data transmission via an Ethernet interface to ensure timely and accurate feedback of inspection results to ensure the continuity of the production line.

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