Grain silo full hydraulic cleaning machine electronic control system

Abstract

The present invention discloses an electronic control system for a grain silo full hydraulic bin cleaning machine, and relates to the technical field of grain storage equipment. The electronic control system for a grain silo full hydraulic bin cleaning machine comprises: a data acquisition module, a hydraulic pump analysis module, a hydraulic valve analysis module and a comprehensive evaluation module. The present invention obtains hydraulic data of the device to be tested by using a data acquisition device to monitor the working condition of the device to be tested in real time, obtains a first hydraulic condition index based on the first hydraulic data and a second hydraulic condition index based on the second hydraulic data, and finally obtains a comprehensive hydraulic condition index based on the first hydraulic condition index and the second hydraulic condition index, and evaluates the working condition of the device to be tested based on the comprehensive hydraulic condition index, thereby improving the accuracy of grain flow control and solving the problem of low correlation between grain flow control and management of a grain silo full hydraulic bin cleaning machine in the prior art.

Description

Technical Field

[0001] The invention relates to the technical field of grain storage equipment, and in particular to an electronic control system of a full-hydraulic silo cleaning machine for grain silos. Background Art

[0002] With the advancement of hydraulic technology and electronic control technology, fully hydraulic bin cleaning machines came into being. The hydraulic system has strong power output and precise control capabilities, and can efficiently clean up grain residues inside the silo. The development of electronic control systems has enabled hydraulic bin cleaning machines to achieve automated operation, remote control, and fault diagnosis, further improving the efficiency and reliability of the equipment. The development of electronic control systems for modern grain silo fully hydraulic bin cleaning machines has not only improved the safety and accuracy of bin cleaning operations, but also greatly reduced labor costs, and promoted the modernization and intelligence of grain storage management.

[0003] The existing system combines hydraulic technology with modern electronic control technology to efficiently and safely clean grain residues inside the silo. The hydraulic system provides powerful power through components such as hydraulic pumps, hydraulic motors and hydraulic cylinders to drive the various moving parts of the silo cleaning equipment. The electronic control system consists of PLC (programmable logic controller) or microcontroller, sensors, control panels and communication modules. The sensors monitor the operating status, hydraulic pressure and displacement of the equipment in real time and transmit the data to the PLC. The PLC makes decisions based on preset programs and sensor feedback, accurately controls hydraulic valves and actuators, and realizes automated operation and precise positioning.

[0004] For example, the patent application with publication number: CN114671261A discloses a fully hydraulic screw clearing system and automatic clearing control method for grain silos, including: the electronic control system can control the output of the hydraulic system to adjust the screw parameters of the screw conveyor according to the screw drive pressure information monitored in real time by the monitoring component, so that the screw conveyor can perform clearing operations on the grain silo according to the screw parameters. When the grain in the silo is severely compacted, the screw drive pressure of the screw conveyor increases, the hydraulic system automatically adjusts the output flow, the screw speed decreases, and the torque increases. Under the same power, the driving torque is large and the ability to break the compaction is stronger, which can reduce the number of people entering the silo for operation. At the same time, there are no electrical components in the silo, which can fundamentally solve the electrical dust explosion problem of the clearing machine in the bulk grain silo, and it is safer.

[0005] For example, the invention patent with announcement number CN117800113B announces an intelligent bucket elevator discharge machine, including: a spiral elevator, wherein an inner blockage sensing component is provided at a position corresponding to the outer wall of the spiral elevator and the position of the spiral elevator discharge port; the inner blockage sensing component is used to sense the pressure of the material on the inner wall of the spiral elevator when the discharge port of the spiral elevator is blocked, and when the pressure of the material on the inner wall of the spiral elevator is greater than a critical threshold, it can actively send a fault warning signal to the staff.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, due to the untimely monitoring of the working condition of the grain silo full hydraulic bin cleaning machine, mechanical failure occurs, and there is a problem that the grain flow control is not highly correlated with the management of the grain silo full hydraulic bin cleaning machine. Summary of the invention

[0008] The embodiment of the present application solves the problem of low correlation between grain flow control and management of grain silo full hydraulic bin cleaning machines in the prior art by providing an electronic control system for grain silo full hydraulic bin cleaning machines, thereby improving the accuracy of grain flow control.

[0009] The embodiment of the present application provides an electronic control system for a grain silo full hydraulic cleaning machine, including: a data acquisition module, a hydraulic pump analysis module, a hydraulic valve analysis module and a comprehensive evaluation module; wherein the data acquisition module is used to obtain hydraulic data of a device to be tested through a data acquisition device, the data acquisition device is used to monitor the working condition of the device to be tested in real time, the hydraulic data is used to describe the working condition of the hydraulic device in the device to be tested, the hydraulic data includes first hydraulic data and second hydraulic data, the first hydraulic data is used to describe the working condition of the hydraulic pump of the device to be tested, and the second hydraulic data is used to describe the use condition of the hydraulic valve; the hydraulic pump analysis module is used to obtain a first hydraulic condition index based on the first hydraulic data, and the first hydraulic condition index is used to quantify the performance of the hydraulic pump; the hydraulic valve analysis module is used to obtain a second hydraulic condition index based on the second hydraulic data, and the second hydraulic condition index is used to quantify the performance of the hydraulic valve; the comprehensive evaluation module is used to obtain a comprehensive hydraulic condition index based on the first hydraulic condition index and the second hydraulic condition index, and evaluate the working condition of the device to be analyzed based on the comprehensive hydraulic condition index, and the comprehensive hydraulic condition index is used to comprehensively evaluate the working condition of the device to be analyzed.

[0010] Furthermore, the data acquisition module includes a data acquisition unit, a data preprocessing unit and a data storage unit; the data acquisition unit is used to collect the first hydraulic data and the second hydraulic data of the equipment to be tested in real time through the data acquisition equipment, the data acquisition equipment includes a surface roughness tester, a force sensor, a displacement sensor, a pressure sensor, a vibration sensor, a temperature sensor, a liquid level sensor and an acoustic sensor, the first hydraulic data includes inlet pressure, vibration frequency, hydraulic temperature, hydraulic liquid level difference and hydraulic noise, the second hydraulic data includes valve core wear, valve seat wear, spring force and reset distance; the data preprocessing unit is used to preprocess the hydraulic data to standardize the data; the data storage unit is used to store the standardized hydraulic data in a preset database.

[0011] Furthermore, the hydraulic pump analysis module includes a cavitation analysis unit, a leakage analysis unit and a blockage analysis unit; the cavitation analysis unit is used to obtain a cavitation influence index by detecting the cavitation phenomenon of the equipment to be tested, and the cavitation influence index is used to quantify the influence of bubbles formed by the hydraulic pump on the unstable output flow and inaccurate control of the hydraulic pump caused by the rupture of bubbles in the high-pressure area; the leakage analysis unit is used to obtain the leakage influence index by monitoring the internal hydraulic oil leakage and the external hydraulic oil leakage of the hydraulic pump respectively to obtain the hydraulic temperature and the hydraulic liquid level difference, and the leakage influence index is used to quantify the influence of inaccurate flow control caused by internal and external leakage; the blockage analysis unit is used to obtain the blockage influence index by measuring the blockage condition of the control valve, and the blockage influence index is used to quantify the influence of unstable flow and inaccurate control caused by the blockage of the control valve by pollutants.

[0012] Furthermore, the specific acquisition process of the cavitation influence index is as follows: obtaining reference cavitation data through a preset database, the reference cavitation data including an inlet pressure threshold, a vibration frequency threshold, a reference inlet pressure and a reference vibration frequency; obtaining a cavitation influence index based on the inlet pressure, the vibration frequency and the obtained reference cavitation data in the first hydraulic data, and the cavitation influence index is calculated using the following formula:

[0013]

[0014] In the formula, IP represents the inlet pressure of the hydraulic pump of the equipment to be tested, IP 0 represents the reference inlet pressure of the hydraulic pump of the equipment under test, IP′ represents the inlet pressure threshold of the hydraulic pump of the equipment under test, VF represents the vibration frequency of the hydraulic pump of the equipment under test, VF 0 represents the reference vibration frequency of the hydraulic pump of the equipment under test, VF′ represents the vibration frequency threshold of the hydraulic pump of the equipment under test, and CII represents the cavitation influence index of the hydraulic pump of the equipment under test.

[0015] Furthermore, the specific acquisition process of the leakage impact index is as follows: obtaining reference leakage data through a preset database, the reference leakage data including a hydraulic temperature threshold, an average hydraulic level difference and a hydraulic level deviation; obtaining a leakage impact index based on the hydraulic temperature and the hydraulic level difference in the first hydraulic data and the obtained reference leakage data, and the leakage impact index is calculated using the following formula:

[0016]

[0017] In the formula, HT represents the hydraulic temperature of the hydraulic pump of the equipment to be tested, HT′ represents the hydraulic temperature threshold of the hydraulic pump of the equipment to be tested, HL represents the hydraulic level difference of the hydraulic pump of the equipment to be tested, represents the average hydraulic level difference of the hydraulic pump of the equipment under test, ∈ represents the hydraulic level deviation of the hydraulic pump of the equipment under test, and LII represents the leakage influence index of the hydraulic pump of the equipment under test.

[0018] Furthermore, the specific process of obtaining the congestion impact index is as follows: obtaining a hydraulic noise threshold through a preset database; obtaining a congestion impact index based on the hydraulic noise in the first hydraulic data and the hydraulic noise threshold, and the congestion impact index is calculated using the following formula:

[0019]

[0020] Wherein, HN represents the hydraulic noise of the hydraulic pump of the equipment under test, HN′ represents the hydraulic noise threshold of the hydraulic pump of the equipment under test, and BII represents the blockage influence index of the hydraulic pump of the equipment under test.

[0021] Furthermore, the specific process of obtaining the first hydraulic condition index is as follows: obtaining a first hydraulic weight through a preset database, the first hydraulic weight including a cavitation weight, a leakage weight and a blockage weight; inputting the obtained cavitation influence index, leakage influence index, blockage influence index and the first hydraulic weight into a first condition index model, the first condition index model is used to obtain the first hydraulic condition index, and the specific expression is:

[0022] THI=tanh(CII*α+LII*β+BII*γ);

[0023] Wherein, CII represents the cavitation influence index of the hydraulic pump of the equipment under test, LII represents the leakage influence index of the hydraulic pump of the equipment under test, BII represents the blockage influence index of the hydraulic pump of the equipment under test, α represents the cavitation weight of the hydraulic pump of the equipment under test, β represents the leakage weight of the hydraulic pump of the equipment under test, γ represents the blockage weight of the hydraulic pump of the equipment under test, THI represents the first hydraulic condition index of the hydraulic pump of the equipment under test, and e represents a natural constant.

[0024] Furthermore, the specific process of obtaining the second hydraulic condition index is as follows: obtaining second hydraulic reference data through a preset database, the second hydraulic reference data including a valve core wear threshold, a valve seat wear threshold, a reference reset distance and a reference spring force; inputting the obtained second hydraulic data and the second hydraulic reference data into a second condition index model, the second condition index model is used to obtain the second hydraulic condition index, and the specific expression is:

[0025]

[0026] In the formula, CW represents the valve core wear of the valve of the equipment under test, CW′ represents the valve core wear threshold of the valve of the equipment under test, SW represents the valve seat wear of the valve of the equipment under test, SW′ represents the valve seat wear threshold of the valve of the equipment under test, SF represents the spring force of the valve of the equipment under test, and SF 0 Indicates the reference spring force of the valve of the device under test, RD indicates the reset distance of the valve spring of the device under test, RD 0 It represents the reference reset distance of the valve spring of the equipment under test, SHI represents the second hydraulic condition index of the equipment under test, and e represents the natural constant.

[0027] Furthermore, the specific acquisition process of the comprehensive hydraulic condition index is as follows: the comprehensive hydraulic weight is obtained through a preset database, and the comprehensive hydraulic weight includes a hydraulic pump weight and a hydraulic valve weight; the obtained first hydraulic condition index, the second hydraulic condition index and the comprehensive hydraulic weight are input into a comprehensive condition index model, and the comprehensive condition index model is used to obtain the comprehensive hydraulic condition index, and the specific expression is:

[0028]

[0029] In the formula, THI represents the first hydraulic condition index of the equipment to be tested, SHI represents the second hydraulic condition index of the equipment to be tested, θ represents the hydraulic pump weight of the equipment to be tested, μ represents the hydraulic valve weight of the equipment to be tested, CHI represents the comprehensive hydraulic condition index of the equipment to be tested, and e represents a natural constant.

[0030] Furthermore, the evaluation process of the comprehensive hydraulic condition index is as follows: the evaluation threshold range is obtained through preset data, and the comprehensive hydraulic condition index is compared with the evaluation threshold range to make a judgment: if the comprehensive hydraulic condition index is within the evaluation threshold range, continue monitoring; if the comprehensive hydraulic condition index is not within the evaluation threshold range, feedback is given that the current condition of the equipment to be tested is abnormal.

[0031] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0032] 1. The data acquisition device acquires the hydraulic data of the equipment to be tested by real-time monitoring of the working condition of the equipment to be tested, and then obtains the first hydraulic condition index based on the first hydraulic data and the second hydraulic condition index based on the second hydraulic data. Finally, the comprehensive hydraulic condition index is obtained according to the first hydraulic condition index and the second hydraulic condition index, and the working condition of the equipment to be tested is evaluated according to the comprehensive hydraulic condition index, thereby realizing real-time monitoring of the working condition of the equipment to be tested, and then realizing the improvement of the accuracy of grain flow control, and effectively solving the problem of low correlation between grain flow control and management of grain silo full hydraulic silo cleaning machine in the prior art.

[0033] 2. Obtain reference leakage data through a preset database, and obtain a leakage impact index based on the hydraulic temperature, hydraulic level difference and average leakage data obtained in the first hydraulic data, thereby achieving accurate monitoring of hydraulic oil leakage inside and outside the hydraulic pump, and further achieving a more comprehensive detection of the working condition of the hydraulic pump.

[0034] 3. The second hydraulic reference data is obtained through a preset database, and the obtained second hydraulic data and the second hydraulic reference data are input into a second condition index model to obtain a second hydraulic condition index, thereby realizing accurate monitoring of the use status of the hydraulic valve, and further realizing the improvement of the correlation between grain flow control and the use status of the grain silo full hydraulic cleaning machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of the structure of the electronic control system of the grain silo full hydraulic cleaning machine provided in the embodiment of the present application;

[0036] Figure 2 A graph showing changes in the comprehensive hydraulic condition index provided in an embodiment of the present application. DETAILED DESCRIPTION

[0037] The embodiment of the present application solves the problem in the prior art that grain flow control is not highly correlated with the management of grain silo full-hydraulic bin cleaning machines by providing an electronic control system for a grain silo full-hydraulic bin cleaning machine. The data acquisition device acquires the hydraulic data of the equipment to be tested by real-time monitoring of the working condition of the equipment to be tested, and then acquires the first hydraulic weight through a preset database. The acquired cavitation influence index, leakage influence index, blockage influence index and the first hydraulic weight are input into a first condition index model to obtain a first hydraulic condition index. At the same time, the second hydraulic reference data is acquired through a preset database, and the acquired second hydraulic data and second hydraulic reference data are input into a second condition index model to obtain a second hydraulic condition index. Finally, a comprehensive hydraulic condition index is obtained based on the first hydraulic condition index and the second hydraulic condition index, and the working condition of the equipment to be tested is evaluated based on the comprehensive hydraulic condition index, thereby improving the accuracy of grain flow control.

[0038] The technical solution in the embodiment of the present application is to solve the problem of the above-mentioned grain silo full hydraulic bin cleaning machine electronic control system, and the overall idea is as follows:

[0039] The first hydraulic condition index is obtained through the first hydraulic data, and the second hydraulic condition index is obtained through the second hydraulic data. Then, the comprehensive hydraulic condition index is obtained according to the first hydraulic condition index and the second hydraulic condition index. Finally, the working condition of the equipment to be tested is evaluated according to the comprehensive hydraulic condition index, thereby achieving the effect of improving the accuracy of grain flow control.

[0040] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0041] like Figure 1 As shown, it is a structural schematic diagram of the electronic control system of the grain silo full hydraulic bin clearing machine provided in the embodiment of the present application. The electronic control system of the grain silo full hydraulic bin clearing machine provided in the embodiment of the present application includes: a data acquisition module, a hydraulic pump analysis module, a hydraulic valve analysis module and a comprehensive evaluation module; wherein the data acquisition module is used to obtain the hydraulic data of the equipment to be tested through the data acquisition device, the data acquisition device is used to monitor the working condition of the equipment to be tested in real time, the hydraulic data is used to describe the working condition of the hydraulic equipment in the equipment to be tested, the hydraulic data includes the first hydraulic data and the second hydraulic data, the first hydraulic data is used to describe the working condition of the hydraulic pump of the equipment to be tested, and the second hydraulic data is used to describe the use condition of the hydraulic valve; the hydraulic pump analysis module is used to obtain a first hydraulic condition index based on the first hydraulic data, and the first hydraulic condition index is used to quantify the performance of the hydraulic pump; the hydraulic valve analysis module is used to obtain a second hydraulic condition index based on the second hydraulic data, and the second hydraulic condition index is used to quantify the performance of the hydraulic valve; the comprehensive evaluation module is used to obtain a comprehensive hydraulic condition index based on the first hydraulic condition index and the second hydraulic condition index, and evaluate the working condition of the equipment to be analyzed according to the comprehensive hydraulic condition index, and the comprehensive hydraulic condition index is used to comprehensively evaluate the working condition of the equipment to be analyzed.

[0042] In this embodiment, the working condition of the equipment to be tested (grain silo cleaning machine) is monitored in real time through the data acquisition device in the data acquisition module, and hydraulic data including first hydraulic data and second hydraulic data are obtained, wherein the first hydraulic data describes the working condition of the hydraulic pump, and the second hydraulic data describes the use condition of the hydraulic valve; the hydraulic pump analysis module analyzes the performance of the hydraulic pump based on the first hydraulic data, and generates a first hydraulic condition index for quantifying the performance of the hydraulic pump; the hydraulic valve analysis module analyzes the performance of the hydraulic valve based on the second hydraulic data, and generates a second hydraulic condition index for quantifying the performance of the hydraulic valve; the comprehensive evaluation module calculates the comprehensive hydraulic condition index based on the first hydraulic condition index and the second hydraulic condition index for comprehensively evaluating the working condition of the grain silo cleaning machine, which is an indicator for comprehensive performance evaluation. Through the system of this embodiment, the working status of the hydraulic equipment of the grain silo cleaning machine can be monitored in real time, including the usage of pumps and valves. Through the hydraulic condition index, the system can quantify the performance of the hydraulic pumps and valves, and help the preset electronic control personnel understand the operating quality and health status of the equipment. The comprehensive hydraulic condition index provides a comprehensive evaluation, which not only takes into account the performance of the hydraulic pumps and valves, but also comprehensively evaluates the working condition of the overall equipment, which helps to detect problems in time and perform maintenance or repairs, effectively improving the accuracy of grain flow control.

[0043] Furthermore, the data acquisition module includes a data acquisition unit, a data preprocessing unit and a data storage unit; the data acquisition unit is used to collect the first hydraulic data and the second hydraulic data of the device to be tested in real time through the data acquisition device, the data acquisition device includes a surface roughness tester, a force sensor, a displacement sensor, a pressure sensor, a vibration sensor, a temperature sensor, a liquid level sensor and an acoustic sensor, the surface roughness tester is used to measure the valve core wear and valve seat wear of the hydraulic valve, the force sensor is used to obtain the spring force of the valve spring, the displacement sensor is used to measure the reset distance of the valve spring, the pressure sensor is used to obtain the inlet pressure of the hydraulic pump, the vibration sensor is used to obtain the vibration frequency of the hydraulic pump, the temperature sensor is used to monitor the hydraulic oil temperature to obtain the hydraulic temperature, the liquid level sensor is used to monitor the liquid level of the hydraulic oil tank to obtain the hydraulic liquid level difference, the acoustic sensor is used to monitor the blockage of the control valve to obtain the hydraulic noise, the first hydraulic data includes the inlet pressure, the vibration frequency, the hydraulic temperature, the hydraulic liquid level difference and the hydraulic noise, and the second hydraulic data includes the valve core wear, the valve seat wear, the spring force and the reset distance; the data preprocessing unit is used to preprocess the hydraulic data to standardize the data; the data storage unit is used to store the standardized hydraulic data in a preset database.

[0044] In this embodiment, comprehensive monitoring of the hydraulic system is achieved through a variety of instruments and sensors, including pressure, vibration, temperature, liquid level, wear, elastic force, reset distance and noise, etc., to achieve real-time collection and monitoring of the working status of the equipment, ensuring timely discovery and handling of problems; wherein, the data preprocessing unit uses the Z-score standardization method to standardize the data, and then the data storage unit stores the standardized hydraulic data in a preset database. The data preprocessing unit ensures the consistency and comparability of the data, and the data storage unit ensures the safe storage of the data and the availability of subsequent analysis. By monitoring and analyzing various aspects of the hydraulic system, possible failures can be predicted in advance, preventive maintenance can be performed, equipment downtime can be reduced, and production efficiency can be improved.

[0045] Specifically, the specific contents of data standardization using the Z-score standardization method are as follows:

[0046]

[0047] It should be understood that x represents the original data value, μ represents the mean of the data set, σ represents the standard deviation of the data set, and x′ represents the standardized data value, which has a distribution with a mean of 0 and a standard deviation of 1. Finally, through the processing of the above method, the dimensional differences of each hydraulic data are eliminated, making the data with different characteristics in the same range, which is convenient for comparison and comprehensive analysis.

[0048] Furthermore, the hydraulic pump analysis module includes a cavitation analysis unit, a leakage analysis unit and a blockage analysis unit; the cavitation analysis unit is used to obtain a cavitation influence index by detecting the cavitation phenomenon of the equipment to be tested, and the cavitation influence index is used to quantify the influence of bubbles formed by the hydraulic pump on the unstable output flow and inaccurate control of the hydraulic pump caused by the rupture of bubbles in the high-pressure area; the leakage analysis unit is used to obtain the leakage influence index by monitoring the internal hydraulic oil leakage and the external hydraulic oil leakage of the hydraulic pump respectively to obtain the hydraulic temperature and the hydraulic level difference, and the leakage influence index is used to quantify the influence of inaccurate flow control caused by internal and external leakage; the blockage analysis unit is used to obtain the blockage influence index by measuring the blockage condition of the control valve, and the blockage influence index is used to quantify the influence of unstable flow and inaccurate control caused by the blockage of the control valve by pollutants.

[0049] In this embodiment, the cavitation analysis unit obtains the cavitation influence index by detecting the cavitation phenomenon in the hydraulic system. The cavitation influence index is used to quantify the impact of unstable output flow and inaccurate control of the hydraulic pump caused by bubbles forming and bursting in the high-pressure area of ​​the hydraulic pump. By detecting the cavitation phenomenon in the hydraulic system, problems that may affect the stability of the output flow and control accuracy of the hydraulic pump can be discovered in advance, so that corresponding preventive measures or maintenance measures can be taken to ensure the normal operation and efficiency of the system; the leakage analysis unit obtains the leakage influence index by monitoring the internal hydraulic oil leakage and external hydraulic oil leakage of the hydraulic pump. The leakage influence index quantifies the impact of internal and external leakage on inaccurate flow control by monitoring the hydraulic temperature and hydraulic level difference. , monitoring internal and external leakage, can accurately evaluate the impact of leakage on the stability and flow control of the hydraulic system, help to repair leakage problems in time, and prevent system performance degradation and damage; the blockage analysis unit obtains the blockage impact index by measuring the blockage of the control valve. The blockage impact index is used to quantify the impact of pollutants blocking the control valve on flow instability and inaccurate control. Measuring the blockage of the control valve can timely discover the flow instability and control accuracy problems that may be caused by pollutant blockage, and take measures to clean or replace the valve to ensure the long-term reliable operation of the system; the detailed data provided by the analysis units of this embodiment combined with the data acquisition module helps to improve the reliability, safety and work efficiency of the equipment.

[0050] Specifically, the specific method for detecting cavitation phenomenon of the equipment to be tested is as follows: since cavitation can cause vibration in the hydraulic system, vibration sensors are installed on the pump and motor to monitor the vibration conditions of the equipment during operation to detect cavitation phenomenon; at the same time, since cavitation can cause pressure fluctuations, pressure sensors are installed at the suction port of the hydraulic pump to monitor pressure fluctuations to detect cavitation phenomenon.

[0051] Specifically, the specific method for monitoring internal hydraulic oil leakage and external hydraulic oil leakage of the hydraulic pump is: internal hydraulic oil leakage is detected by installing a temperature sensor in the internal oil circuit of the hydraulic pump to detect oil temperature changes; external hydraulic oil leakage is detected by installing a liquid level sensor on the hydraulic oil tank to monitor oil level changes.

[0052] Specifically, the specific method for monitoring the blockage of the control valve is: by installing acoustic sensors at the inlet and outlet of the control valve, ensuring that the sound wave signals inside and around the valve can be captured, and then detecting the noise caused by the blockage to achieve real-time monitoring.

[0053] Furthermore, the specific acquisition process of the cavitation influence index is as follows: obtain reference cavitation data through a preset database, the reference cavitation data includes an inlet pressure threshold, a vibration frequency threshold, a reference inlet pressure and a reference vibration frequency, the inlet pressure threshold represents the maximum value of the inlet pressure that the hydraulic pump suction port can accept, the vibration frequency threshold represents the maximum frequency that the hydraulic pump can accept under the working state, the reference inlet pressure represents the standard value of the hydraulic pump suction port pressure, and the reference hydraulic vibration represents the standard value of the vibration frequency of the hydraulic pump; the cavitation influence index is obtained based on the inlet pressure, the vibration frequency and the obtained reference cavitation data in the first hydraulic data, and the cavitation influence index is calculated using the following formula:

[0054]

[0055] In the formula, IP represents the inlet pressure of the hydraulic pump of the equipment to be tested, IP 0 represents the reference inlet pressure of the hydraulic pump of the equipment under test, IP′ represents the inlet pressure threshold of the hydraulic pump of the equipment under test, VF represents the vibration frequency of the hydraulic pump of the equipment under test, VF 0 represents the reference vibration frequency of the hydraulic pump of the equipment under test, VF′ represents the vibration frequency threshold of the hydraulic pump of the equipment under test, and CII represents the cavitation influence index of the hydraulic pump of the equipment under test.

[0056] In this embodiment, the algorithm combines the inlet pressure, vibration frequency and reference cavitation data for comprehensive analysis to obtain the cavitation influence index, and the respective variables are independent but jointly affect the dependent variable cavitation influence index. For example, in the first case in the formula, the inlet pressure and the vibration frequency both meet their respective thresholds, then it is considered that the working condition of the hydraulic pump is normal at this time. On the contrary, if it is the second case in the formula, the inlet pressure and the vibration frequency do not meet their respective thresholds, then at this time, the impact of cavitation on the hydraulic pump reaches the maximum, and the value of the cavitation influence index is directly 1; in the first case, when the absolute value of the difference between the inlet pressure and the reference inlet pressure is larger, it indicates that the inlet pressure deviates more from the reference inlet pressure, At this time, the greater the influence of cavitation caused by the inlet pressure factor on the working condition of the hydraulic pump, the greater the corresponding cavitation influence index. Similarly, when the absolute value of the difference between the vibration frequency and the reference vibration frequency is greater, it indicates that the vibration frequency deviates more from the reference vibration frequency. At this time, the greater the influence of cavitation caused by the vibration frequency factor on the working condition of the hydraulic pump, the greater the corresponding cavitation influence index. It can be seen that the smaller the cavitation influence index is, the smaller the influence of cavitation on the hydraulic pump is. Therefore, real-time monitoring of the cavitation of the hydraulic pump is helpful to timely discover the abnormal influence of cavitation, and timely operation and maintenance can reduce the minimum damage to the hydraulic pump, which is conducive to providing the service life of the hydraulic pump.

[0057] Specifically, the inlet pressure threshold in the reference cavitation data can be checked through the technical specification manual provided by the hydraulic pump manufacturer. For example, the inlet pressure threshold of the hydraulic pump model A10VSO45DFR1 / 31R-PPA12N00 produced by the manufacturer Bosch Rexroth is 30 bar, indicating that the maximum pressure that the hydraulic pump suction port can withstand is 30 bar. Exceeding this value may cause equipment damage or performance degradation.

[0058] Specifically, the vibration frequency threshold in the reference cavitation data can be checked through the technical specification manual provided by the hydraulic pump manufacturer. For example, it can be found that the vibration frequency threshold of the hydraulic pump model A10VSO45DFR1 / 31R-PPA12N00 produced by the manufacturer Bosch Rexroth is 10Hz, indicating that the maximum vibration frequency that the hydraulic pump can accept under normal working conditions is 10Hz. Exceeding this frequency may affect the life and stability of the pump.

[0059] Specifically, the reference inlet pressure in the reference cavitation data can be found in the technical specification manual provided by the hydraulic pump manufacturer. For example, the reference inlet pressure of the hydraulic pump model A10VSO45DFR1 / 31R-PPA12N00 produced by the manufacturer Bosch Rexroth is 20 bar, which means that under standard working conditions, the recommended pressure at the suction port of the hydraulic pump is 20 bar. This pressure value can ensure that the hydraulic pump operates within the optimal performance range.

[0060] Specifically, the reference vibration frequency in the reference cavitation data can be found in the technical specification manual provided by the hydraulic pump manufacturer. For example, the reference vibration frequency of the hydraulic pump model A10VSO45DFR1 / 31R-PPA12N00 produced by the manufacturer Bosch Rexroth is 5Hz, indicating that the recommended vibration frequency of the hydraulic pump under standard operating conditions is 5Hz, which helps to ensure the stability and performance of the equipment.

[0061] Furthermore, the specific acquisition process of the leakage impact index is as follows: obtaining reference leakage data through a preset database, the reference leakage data including a hydraulic temperature threshold, an average hydraulic level difference and a hydraulic level deviation, the hydraulic temperature threshold represents the maximum temperature of the hydraulic oil that the hydraulic pump can accept, the average hydraulic level difference represents the average value of the hydraulic oil tank level drop of the hydraulic pump, and the hydraulic level deviation represents the allowable deviation of the hydraulic oil tank level drop; obtaining the leakage impact index based on the hydraulic temperature and hydraulic level difference in the first hydraulic data and the obtained reference leakage data, and the leakage impact index is calculated using the following formula:

[0062]

[0063] In the formula, HT represents the hydraulic temperature of the hydraulic pump of the equipment to be tested, HT′ represents the hydraulic temperature threshold of the hydraulic pump of the equipment to be tested, HL represents the hydraulic level difference of the hydraulic pump of the equipment to be tested, represents the average hydraulic level difference of the hydraulic pump of the equipment under test, ∈ represents the hydraulic level deviation of the hydraulic pump of the equipment under test, and LII represents the leakage influence index of the hydraulic pump of the equipment under test.

[0064] In this embodiment, the algorithm combines the hydraulic temperature, hydraulic level difference and reference leakage data for comprehensive analysis to obtain the leakage impact index, and each variable is independent but jointly affects the dependent variable leakage impact index. For example, in the first case in the formula, the hydraulic temperature satisfies the hydraulic temperature threshold and the hydraulic level difference satisfies the hydraulic level deviation, then it is considered that the working condition of the hydraulic pump is normal at this time. On the contrary, if it is the second case in the formula, the hydraulic temperature does not meet the hydraulic temperature threshold and the hydraulic level difference does not meet the hydraulic level deviation, then at this time, the impact of internal and external leakage on the hydraulic pump reaches the maximum, and the value of the leakage impact index is directly 1; in the first case, the higher the hydraulic temperature, the closer it is to the hydraulic level. The pressure temperature threshold indicates that the greater the impact of internal leakage on the working condition of the hydraulic pump, the greater the corresponding leakage impact index. Similarly, when the absolute value of the difference between the hydraulic level difference and the average hydraulic level difference is larger, it indicates that the hydraulic level difference deviates more from the average hydraulic level difference. At this time, the greater the impact of external leakage factors on the working condition of the hydraulic pump, the greater the corresponding leakage impact index. It can be seen that when the leakage impact index is smaller, the impact of the leakage phenomenon on the hydraulic pump is smaller. Therefore, real-time monitoring of the leakage phenomenon of the hydraulic pump helps to avoid the abnormal impact caused by the leakage in time. Real-time monitoring of the hydraulic temperature and the hydraulic level difference is beneficial to the preventive maintenance of the equipment and improves the production efficiency of the equipment.

[0065] Specifically, the hydraulic temperature threshold in the reference leakage data can be checked through the technical specification manual provided by the hydraulic pump manufacturer. For example, it can be found that the maximum hydraulic oil temperature that can be accepted by the hydraulic pump model A4VG40EP4DM1 / 32R-NSF02F041 D produced by the manufacturer Bosch Rexroth under normal operating conditions is 60°C.

[0066] Specifically, the average hydraulic level difference in the reference leakage data is obtained by obtaining the level difference of the hydraulic oil tank in the historical data and then calculating the average value; the hydraulic level deviation in the reference leakage data is set according to the actual production situation. For example, assuming that the liquid level of the hydraulic oil tank is allowed to drop by a maximum of 5 cm within 24 hours, if it exceeds this range, it may be necessary to add hydraulic oil or check whether the system has leaks. In this case, 5 cm is the currently set hydraulic level deviation.

[0067] Furthermore, the specific process of obtaining the blocking influence index is as follows: a hydraulic noise threshold is obtained through a preset database, and the hydraulic noise threshold represents the maximum noise threshold of the control valve that the hydraulic pump can accept due to blocking; a blocking influence index is obtained based on the hydraulic noise and the hydraulic noise threshold in the first hydraulic data, and the blocking influence index is calculated using the following formula:

[0068]

[0069] Wherein, HN represents the hydraulic noise of the hydraulic pump of the equipment under test, HN′ represents the hydraulic noise threshold of the hydraulic pump of the equipment under test, and BII represents the blockage influence index of the hydraulic pump of the equipment under test.

[0070] In this embodiment, the algorithm combines the hydraulic noise and the hydraulic noise threshold for comprehensive analysis to obtain the blockage impact index, and the variables are interrelated. For example, in the first case in the formula, the hydraulic noise meets the hydraulic noise threshold, then it is considered that the working condition of the hydraulic pump control valve is normal at this time. On the contrary, if it is the second case in the formula that the hydraulic noise does not meet the hydraulic noise threshold, then at this time, the blockage phenomenon has the maximum impact on the hydraulic pump control valve, and the value of the blockage impact index is directly 1; in the first case, the larger the hydraulic noise is, the closer it is to the hydraulic noise threshold, indicating that the blockage phenomenon has a greater impact on the working condition of the hydraulic pump control valve, and the corresponding blockage impact index is also greater; it can be seen that the smaller the blockage impact index is, the smaller the impact of the blockage phenomenon on the hydraulic pump control valve is. Therefore, real-time monitoring of the blockage phenomenon of the hydraulic pump control valve helps to prevent abnormal effects caused by control valve blockage, and real-time monitoring of hydraulic noise is conducive to ensuring the normal operation and maintenance of the hydraulic pump control valve.

[0071] Specifically, the hydraulic noise threshold can be checked in the technical specification manual provided by the hydraulic pump manufacturer. For example, it can be found that the hydraulic noise threshold of the hydraulic pump control valve model A10VSO 28DFR1 / 31R-PPA12N00 produced by the manufacturer Bosch Rexroth is 75dB(A), which means that when the control valve of Bosch Rexroth A10VSO 28DFR1 / 31R-PPA12N00 hydraulic pump is blocked, the maximum acceptable noise level is 75dB(A). Exceeding this noise level may mean that the control valve is seriously blocked and needs to be repaired or replaced immediately.

[0072] Furthermore, the specific process of obtaining the first hydraulic condition index is as follows: the first hydraulic weight is obtained through a preset database, the first hydraulic weight includes a cavitation weight, a leakage weight and a blockage weight, the cavitation weight represents the influence ratio of the cavitation phenomenon on the hydraulic pump, the leakage weight represents the influence ratio of the leakage of the hydraulic oil on the hydraulic pump, and the blockage weight represents the influence ratio of the blockage of the control valve on the hydraulic pump; the obtained cavitation influence index, leakage influence index, blockage influence index and the first hydraulic weight are input into the first condition index model, and the first condition index model is used to obtain the first hydraulic condition index, and the specific expression is:

[0073] THI=tanh(CII*α+LII*β+BII*γ);

[0074] Wherein, CII represents the cavitation influence index of the hydraulic pump of the equipment under test, LII represents the leakage influence index of the hydraulic pump of the equipment under test, BII represents the blockage influence index of the hydraulic pump of the equipment under test, α represents the cavitation weight of the hydraulic pump of the equipment under test, β represents the leakage weight of the hydraulic pump of the equipment under test, γ represents the blockage weight of the hydraulic pump of the equipment under test, THI represents the first hydraulic condition index of the hydraulic pump of the equipment under test, and e represents a natural constant.

[0075] In this embodiment, the algorithm combines the cavitation influence index, the leakage influence index, the blockage influence index and the first hydraulic weight for comprehensive analysis to obtain the first hydraulic condition index, and each variable is independent of each other but jointly affects the dependent variable first hydraulic condition index, wherein the sum of the cavitation weight, the leakage weight and the blockage weight is 1, and when the weight is determined, the cavitation influence index, the leakage influence index and the blockage influence index are negatively correlated with the first hydraulic condition index, and as the cavitation influence index, the leakage influence index and the blockage influence index increase, the first hydraulic condition index becomes smaller, and as the cavitation influence index, the leakage influence index and the blockage influence index decrease, the first hydraulic condition index becomes larger; therefore, the influence of cavitation, leakage and blockage on the working condition of the hydraulic pump cannot be ignored, and the algorithm provided in this embodiment can more accurately analyze the influence of each phenomenon on the working condition of the hydraulic pump, thereby more accurately controlling the grain outflow rate.

[0076] Specifically, assuming that the cavitation weight is 0.4, the leakage weight is 0.3, and the blockage weight is 0.3, a first hydraulic condition index data change table is obtained by combining the cavitation influence index, the leakage influence index, and the blockage influence index. The first hydraulic condition index data change table is shown in Table 1:

[0077] Table 1 The first hydraulic condition index data change table

[0078]

[0079]

[0080] It can be seen from the table that when the cavitation influence index, leakage influence index and blockage influence index in the first row of data are all 0, the first hydraulic condition index is 0, indicating that the working condition of the hydraulic pump has reached the best at this time. Through the data analysis in the table, it can be seen that the cavitation influence index has the greatest impact on the first hydraulic condition index. For example, in the second row of data, when the blockage influence index is 0.3, the leakage influence index is 0.2, and the cavitation influence index is 0.5, the first hydraulic condition index reaches the lowest 0.336 in the table, and in the fifth row of data, when the blockage influence index is 0.2, the leakage influence index is 0.3, and there is no obvious increase, and the cavitation influence index is 0.8, the first hydraulic condition index reaches the highest 0.438 in the table. It can be seen that under the current first hydraulic weight, the influence of cavitation on the working state of the hydraulic pump is relatively high. However, the dependent variable first hydraulic condition index will not completely decrease due to the increase of an independent variable data, nor will it increase due to the decrease of an independent variable data. When the three influence indexes change in a direction of change, the first hydraulic condition index will change accordingly.

[0081] Specifically, the cavitation weight is obtained from a preset database. In a specific embodiment, a mapping set of the cavitation influence index and its corresponding weight factor is constructed according to the relationship between the cavitation influence index and the first hydraulic condition index in the historical data, and the real-time cavitation influence index is input into the mapping set to obtain the corresponding cavitation weight.

[0082] Specifically, the leakage weight is obtained from a preset database. In a specific embodiment, a mapping set of the leakage impact index and its corresponding weight factor is constructed according to the relationship between the leakage impact index and the first hydraulic condition index in the historical data, and the real-time leakage impact index is input into the mapping set to obtain the corresponding leakage weight.

[0083] Specifically, the congestion weight is obtained from a preset database. In a specific embodiment, a mapping set of the congestion impact index and its corresponding weight factor is constructed according to the relationship between the congestion impact index and the first hydraulic condition index in historical data, and the real-time congestion impact index is input into the mapping set to obtain the corresponding congestion weight.

[0084] Further, the specific process of obtaining the second hydraulic condition index is as follows: obtain the second hydraulic reference data through a preset database, the second hydraulic reference data includes a valve core wear threshold, a valve seat wear threshold, a reference reset distance and a reference spring force, the valve core wear threshold represents the maximum value of the wear degree that the valve core can accept, the reference valve seat wear represents the maximum value of the wear degree that the valve seat can accept, the reference reset distance represents the standard value of the valve spring reset distance, and the reference spring force represents the standard value of the valve spring force; input the obtained second hydraulic data and the second hydraulic reference data into the second condition index model, and the second condition index model is used to obtain the second hydraulic condition index, and the specific expression is:

[0085]

[0086] In the formula, CW represents the valve core wear of the valve of the equipment under test, CW′ represents the valve core wear threshold of the valve of the equipment under test, SW represents the valve seat wear of the valve of the equipment under test, SW′ represents the valve seat wear threshold of the valve of the equipment under test, SF represents the spring force of the valve of the equipment under test, and SF 0 Indicates the reference spring force of the valve of the device under test, RD indicates the reset distance of the valve spring of the device under test, RD 0 It represents the reference reset distance of the valve spring of the equipment under test, SHI represents the second hydraulic condition index of the equipment under test, and e represents the natural constant.

[0087] In this embodiment, the algorithm combines the second hydraulic data and the second hydraulic reference data for comprehensive analysis to obtain the second hydraulic condition index, and the relationship between the respective variables is independent, but they jointly affect the dependent variable second hydraulic condition index; in the formula, the value of the independent variable cannot be less than 0, so the definition domain of the independent variable is a positive real number, so when the valve core wear and the valve seat wear both meet their respective wear thresholds, as the valve core wear and the valve seat wear increase, the second hydraulic condition index is also larger, indicating that the valve core wear and the valve seat wear have a greater impact on the working condition of the hydraulic valve, and at the same time, when the absolute value of the difference between the spring force and the reference spring force is larger, the second hydraulic condition index is larger, indicating that the spring force is The more it deviates from the reference spring force, the greater the impact on the working condition of the hydraulic valve. Similarly, when the absolute value of the difference between the reset distance and the reference reset distance is larger, the larger the second hydraulic condition index is, indicating that the more the reset distance deviates from the reference reset distance, the greater the impact on the working condition of the hydraulic valve; and when the valve core wear and the valve seat wear do not meet their respective wear thresholds, it is directly considered that the performance of the hydraulic valve at this time cannot meet the normal working conditions, and the impact has reached the maximum. At this time, the second hydraulic condition index is directly 1; it can be seen from this that real-time monitoring of hydraulic valves is necessary, which helps to prevent the abnormality of hydraulic valves that cause equipment to not work normally in advance, and is conducive to improving production efficiency.

[0088] Specifically, the valve core wear threshold is determined by analyzing historical maintenance data and replacement records to determine the specific value when the valve core wear reaches the limit. For example, the maximum value of the valve core wear when replacement is required in the historical maintenance data and replacement records is used as the valve core wear threshold. For example, if the maximum value of the valve core wear when replacement is required is 0.02 mm, the valve core wear threshold is set to 0.02 mm.

[0089] Specifically, the valve seat wear threshold is determined by analyzing historical maintenance data and replacement records to determine the specific value when the valve seat wear reaches the limit. For example, the maximum value of the valve seat wear when replacement is required in the historical maintenance data and replacement records is used as the valve seat wear threshold. For example, if the maximum value of the valve seat wear when replacement is required is 0.03 mm, the valve seat wear threshold is set to 0.03 mm.

[0090] Specifically, the reference reset distance can be obtained by referring to the technical manual of the manufacturer. In a specific embodiment, the reference reset distance of the hydraulic valve of model 4WE6J62 / EG24N9K4 produced by the manufacturer Bosch Rexroth is 12 mm.

[0091] Specifically, the reference spring force can be obtained by consulting the manufacturer's technical manual. In a specific embodiment, the reference spring force of the hydraulic valve whose model is D1VW001CNJW91 produced by the manufacturer Parker is 30 Newtons.

[0092] Furthermore, the specific process of obtaining the comprehensive hydraulic condition index is as follows: obtaining the comprehensive hydraulic weight through the preset database, the comprehensive hydraulic weight includes the hydraulic pump weight and the hydraulic valve weight, the hydraulic pump weight represents the influence of the hydraulic pump on the control flow of the device to be tested, and the hydraulic valve weight represents the influence of the hydraulic valve on the control flow of the device to be tested; the first hydraulic condition index, the second hydraulic condition index and the comprehensive hydraulic weight are input into the comprehensive condition index model, and the comprehensive condition index model is used to obtain the comprehensive hydraulic condition index, and the specific expression is:

[0093]

[0094] In the formula, THI represents the first hydraulic condition index of the equipment to be tested, SHI represents the second hydraulic condition index of the equipment to be tested, θ represents the hydraulic pump weight of the equipment to be tested, μ represents the hydraulic valve weight of the equipment to be tested, CHI represents the comprehensive hydraulic condition index of the equipment to be tested, and e represents a natural constant.

[0095] In this embodiment, the algorithm combines the first hydraulic condition index, the second hydraulic condition index and the comprehensive hydraulic weight for comprehensive analysis to obtain the comprehensive hydraulic condition index, and each variable is independent but jointly affects the dependent variable. In the formula, when the first hydraulic condition index gradually increases, the comprehensive hydraulic condition index gradually decreases. Similarly, when the second hydraulic condition index gradually increases, the comprehensive hydraulic condition index also gradually decreases.

[0096] like Figure 2 As shown, it is a graph of changes in the comprehensive hydraulic condition index provided in this embodiment, wherein it is assumed that the weight of the hydraulic pump is 0.4 and the weight of the hydraulic valve is 0.6; in the graph, as the first hydraulic condition index and the second hydraulic condition index increase, the image gradually decreases, and conversely, as the first hydraulic condition index and the second hydraulic condition index decrease, the image shows an upward trend. Therefore, in practical applications, the larger the comprehensive hydraulic condition index is, the better the working condition of the hydraulic equipment is. The method provided in this embodiment can more accurately analyze the overall working condition of the hydraulic pump and the hydraulic valve, which is conducive to better control of the grain outflow rate.

[0097] Specifically, the hydraulic pump weight is obtained from a preset database. In a specific embodiment, a mapping set of the first hydraulic condition index and its corresponding weight factor is constructed according to the first hydraulic condition index and the comprehensive hydraulic condition index in the historical data, and the real-time first hydraulic condition index is input into the mapping set to obtain the corresponding hydraulic pump weight.

[0098] Specifically, the hydraulic valve weight is obtained from a preset database. In a specific embodiment, a mapping set of the second hydraulic condition index and its corresponding weight factor is constructed according to the second hydraulic condition index and the comprehensive hydraulic condition index in the historical data, and the real-time second hydraulic condition index is input into the mapping set to obtain the corresponding hydraulic valve weight.

[0099] Furthermore, the evaluation process of the comprehensive hydraulic condition index is as follows: the evaluation threshold range is obtained through preset data, and the comprehensive hydraulic condition index is compared with the evaluation threshold range to make a judgment: if the comprehensive hydraulic condition index is within the evaluation threshold range, continue monitoring; if the comprehensive hydraulic condition index is not within the evaluation threshold range, feedback is given that the current condition of the equipment under test is abnormal; the evaluation threshold range is used to determine whether the hydraulic condition of the equipment under test can maintain a stable working state.

[0100] In this embodiment, the preset data evaluation threshold range is used to judge the health status of the hydraulic system. The evaluation threshold range is set by statistically analyzing the comprehensive hydraulic condition index of the hydraulic equipment of the grain silo full hydraulic cleaning machine under normal working conditions in historical data to ensure that the system operates safely and effectively within this range; if the comprehensive hydraulic condition index is within the evaluation threshold range, the system continues to operate normally and only needs to continue monitoring. If the comprehensive hydraulic condition index exceeds the evaluation threshold range, the abnormal condition of the current equipment will be fed back and the electronic control personnel will be advised to perform timely maintenance to prevent further damage or failure of the equipment; by real-time monitoring and evaluation of the comprehensive hydraulic condition index, not only can potential problems of the hydraulic system be discovered in time to prevent the occurrence of failures, but also the reliability of the equipment can be improved to ensure that the hydraulic system operates in a healthy state, thereby improving the reliability and service life of the equipment; at the same time, it is conducive to discovering and repairing problems in advance, reducing downtime caused by failures, and improving production efficiency; through this embodiment, comprehensive monitoring and maintenance management of the hydraulic system are achieved to ensure that the equipment operates in the best state.

[0101] To summarize, the embodiment of the present application obtains hydraulic data of the equipment to be tested by a data acquisition device through real-time monitoring of the working condition of the equipment to be tested, then obtains a first hydraulic condition index based on the first hydraulic data and a second hydraulic condition index based on the second hydraulic data, and finally obtains a comprehensive hydraulic condition index based on the first hydraulic condition index and the second hydraulic condition index, and evaluates the working condition of the equipment to be tested based on the comprehensive hydraulic condition index, thereby realizing real-time monitoring of the working condition of the equipment to be tested, and further realizing improved accuracy of grain flow control, effectively solving the problem of low correlation between grain flow control and management of grain silo full-hydraulic silo cleaning machine in the prior art.

[0102] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0104] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0105] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0106] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0107] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. The electronic control system of the grain silo fully hydraulic cleaning machine is characterized by: It includes data acquisition module, hydraulic pump analysis module, hydraulic valve analysis module and comprehensive evaluation module; Wherein, the data acquisition module is used to obtain hydraulic data of the device under test through the data acquisition device, the data acquisition device is used to monitor the working condition of the device under test in real time, the hydraulic data is used to describe the working condition of the hydraulic device in the device under test, the hydraulic data includes first hydraulic data and second hydraulic data, the first hydraulic data is used to describe the working condition of the hydraulic pump of the device under test, and the second hydraulic data is used to describe the use condition of the hydraulic valve; The hydraulic pump analysis module is used to obtain a first hydraulic condition index based on the first hydraulic data, and the first hydraulic condition index is used to quantify the performance of the hydraulic pump; The hydraulic valve analysis module is used to obtain a second hydraulic condition index based on the second hydraulic data, and the second hydraulic condition index is used to quantify the performance of the hydraulic valve; The comprehensive evaluation module is used to obtain a comprehensive hydraulic condition index according to the first hydraulic condition index and the second hydraulic condition index, and to evaluate the working condition of the device to be analyzed according to the comprehensive hydraulic condition index, wherein the comprehensive hydraulic condition index is used to comprehensively evaluate the working condition of the device to be analyzed; Acquire a first hydraulic weight through a preset database, wherein the first hydraulic weight includes a cavitation weight, a leakage weight, and a blockage weight; The obtained cavitation influence index, leakage influence index, blockage influence index and first hydraulic weight are input into the first condition index model, and the first condition index model is used to obtain the first hydraulic condition index. The specific expression is: THI=tanh(CII*α+LII*β+BII*γ); In the formula, CII represents the cavitation influence index of the hydraulic pump of the equipment to be tested, LII represents the leakage influence index of the hydraulic pump of the equipment to be tested, BII represents the blockage influence index of the hydraulic pump of the equipment to be tested, α represents the cavitation weight of the hydraulic pump of the equipment to be tested, β represents the leakage weight of the hydraulic pump of the equipment to be tested, γ represents the blockage weight of the hydraulic pump of the equipment to be tested, and THI represents the first hydraulic condition index of the hydraulic pump of the equipment to be tested; Acquire second hydraulic reference data through a preset database, wherein the second hydraulic reference data includes a valve core wear threshold, a valve seat wear threshold, a reference reset distance, and a reference spring force; The acquired second hydraulic data and second hydraulic reference data are input into a second condition index model, and the second condition index model is used to obtain a second hydraulic condition index, and the specific expression is: Wherein, CW represents the valve core wear of the valve of the equipment under test, CW' represents the valve core wear threshold of the valve of the equipment under test, SW represents the valve seat wear of the valve of the equipment under test, SW' represents the valve seat wear threshold of the valve of the equipment under test, SF represents the spring force of the valve of the equipment under test, SF0 represents the reference spring force of the valve of the equipment under test, RD represents the reset distance of the valve spring of the equipment under test, RD0 represents the reference reset distance of the valve spring of the equipment under test, SHI represents the second hydraulic condition index of the equipment under test, and e represents the natural constant; Obtaining a comprehensive hydraulic weight through a preset database, wherein the comprehensive hydraulic weight includes a hydraulic pump weight and a hydraulic valve weight; The first hydraulic condition index, the second hydraulic condition index and the comprehensive hydraulic weight are input into a comprehensive condition index model, and the comprehensive condition index model is used to obtain a comprehensive hydraulic condition index. The specific expression is: Wherein, THI represents the first hydraulic condition index of the equipment to be tested, SHI represents the second hydraulic condition index of the equipment to be tested, θ represents the hydraulic pump weight of the equipment to be tested, μ represents the hydraulic valve weight of the equipment to be tested, CHI represents the comprehensive hydraulic condition index of the equipment to be tested, and e represents a natural constant.

2. The electronic control system for the grain silo full hydraulic cleaning machine as claimed in claim 1 is characterized by: The data acquisition module includes a data acquisition unit, a data preprocessing unit and a data storage unit; The data acquisition unit is used to collect the first hydraulic data and the second hydraulic data of the device to be tested in real time through the data acquisition equipment, the data acquisition equipment includes a surface roughness tester, a force sensor, a displacement sensor, a pressure sensor, a vibration sensor, a temperature sensor, a liquid level sensor and an acoustic sensor, the first hydraulic data includes inlet pressure, vibration frequency, hydraulic temperature, hydraulic level difference and hydraulic noise, and the second hydraulic data includes valve core wear, valve seat wear, spring elastic force and reset distance; The data preprocessing unit is used to preprocess the hydraulic data to standardize the data; The data storage unit is used to store the standardized hydraulic data in a preset database.

3. The electronic control system for the grain silo full hydraulic cleaning machine as claimed in claim 2 is characterized by: The hydraulic pump analysis module includes a cavitation analysis unit, a leakage analysis unit and a blockage analysis unit; The cavitation analysis unit is used to obtain a cavitation influence index by detecting the cavitation phenomenon of the device to be tested, and the cavitation influence index is used to quantify the influence of bubbles formed by the hydraulic pump bursting in the high-pressure area, which leads to unstable output flow and inaccurate control of the hydraulic pump; The leakage analysis unit is used to obtain the hydraulic temperature and hydraulic level difference by monitoring the internal hydraulic oil leakage and the external hydraulic oil leakage of the hydraulic pump respectively, thereby obtaining the leakage influence index, and the leakage influence index is used to quantify the influence of inaccurate flow control caused by internal and external leakage; The blockage analysis unit is used to obtain a blockage impact index by measuring the blockage condition of the control valve, and the blockage impact index is used to quantify the impact of unstable flow and inaccurate control caused by pollutants blocking the control valve.

4. The electronic control system for the grain silo full hydraulic cleaning machine as claimed in claim 3 is characterized by: The specific process of obtaining the cavitation impact index is as follows: Acquire reference cavitation data through a preset database, wherein the reference cavitation data includes an inlet pressure threshold, a vibration frequency threshold, a reference inlet pressure, and a reference vibration frequency; The cavitation influence index is obtained based on the inlet pressure, the vibration frequency and the acquired reference cavitation data in the first hydraulic pressure data. The cavitation influence index is calculated using the following formula: Wherein, IP represents the inlet pressure of the hydraulic pump of the equipment under test, IP0 represents the reference inlet pressure of the hydraulic pump of the equipment under test, IP' represents the inlet pressure threshold of the hydraulic pump of the equipment under test, VF represents the vibration frequency of the hydraulic pump of the equipment under test, VF0 represents the reference vibration frequency of the hydraulic pump of the equipment under test, VF' represents the vibration frequency threshold of the hydraulic pump of the equipment under test, and CII represents the cavitation influence index of the hydraulic pump of the equipment under test.

5. The electronic control system for the grain silo full hydraulic cleaning machine as claimed in claim 3 is characterized by: The specific process of obtaining the leakage impact index is as follows: Acquiring reference leakage data through a preset database, wherein the reference leakage data includes a hydraulic temperature threshold, an average hydraulic level difference, and a hydraulic level deviation; A leakage impact index is obtained based on the hydraulic temperature, the hydraulic level difference and the acquired reference leakage data in the first hydraulic data. The leakage impact index is calculated using the following formula: In the formula, HT represents the hydraulic temperature of the hydraulic pump of the equipment under test, HT' represents the hydraulic temperature threshold of the hydraulic pump of the equipment under test, HL represents the hydraulic level difference of the hydraulic pump of the equipment under test, represents the average hydraulic level difference of the hydraulic pump of the equipment under test, ∈ represents the hydraulic level deviation of the hydraulic pump of the equipment under test, and LII represents the leakage influence index of the hydraulic pump of the equipment under test.

6. The electronic control system for the grain silo full hydraulic cleaning machine as claimed in claim 3 is characterized by: The specific process of obtaining the congestion impact index is as follows: Get hydraulic noise threshold through preset database; The congestion impact index is obtained based on the hydraulic noise and the hydraulic noise threshold in the first hydraulic data. The congestion impact index is calculated using the following formula: Wherein, HN represents the hydraulic noise of the hydraulic pump of the equipment under test, HN' represents the hydraulic noise threshold of the hydraulic pump of the equipment under test, and BII represents the blockage impact index of the hydraulic pump of the equipment under test.

7. The electronic control system for the grain silo full hydraulic cleaning machine as claimed in claim 1 is characterized by: The evaluation process of the comprehensive hydraulic condition index is as follows: The evaluation threshold range is obtained through preset data, and the comprehensive hydraulic condition index is compared with the evaluation threshold range to determine: If the comprehensive hydraulic condition index is within the assessment threshold range, continue monitoring; If the comprehensive hydraulic condition index is not within the evaluation threshold range, it is fed back that the current condition of the equipment under test is abnormal.

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