Intelligent control system for vacuum pump and water supply pump

Abstract

The present invention relates to the field of intelligent control technology for water pumps, specifically to an intelligent control system for vacuum pumps and water supply pumps, the system comprising: a water supply pump liquid delivery adjustment module collects operating parameters and liquid state information of the water supply pump, analyzes the boundary layer thickness of the inner wall area of ​​the water supply pump connecting pipe, determines the influence of the change of boundary layer thickness on the fluctuation of liquid flow, adjusts the rotation speed and valve opening of the water supply pump, and generates preliminary operation adjustment results of the water supply pump. In the present invention, by real-time collection of water supply pump operating parameters and liquid state information, and measuring the liquid flow rate and flow rate gradient of the inner wall of the pipe to calculate the boundary layer thickness, and analyzing its relationship with the pressure gradient, the ability to regulate fluid flow fluctuations is effectively improved, and the stability of liquid delivery is enhanced. During the liquid delivery process, the influence of liquid viscosity is analyzed by temperature change, and the delivery state is monitored in combination with pressure difference, so that abnormal conditions can be quickly identified and marked, and safety and fault response speed are improved.

Description

Technical Field

[0001] The invention relates to the technical field of water pump intelligent control, in particular to an intelligent control system for a vacuum pump and a water supply pump. Background Art

[0002] The vacuum pump and water supply pump intelligent control system is a water pump control system based on automation and sensor technology. The system uses a vacuum pump to reduce the internal pressure of the vacuum tank to form a vacuum environment, thereby guiding the liquid into the vacuum tank. When the liquid level sensor detects that the liquid level reaches the set height, the system automatically stops the vacuum pump and starts the water supply pump motor to transport the liquid to the target location. By integrating sensors and control equipment, parameters such as liquid level, pressure, temperature and flow are monitored in real time, and the data is displayed on the monitoring interface to achieve the regulation of the pump station operation status.

[0003] It is difficult for existing technologies to accurately analyze the impact of the liquid velocity gradient on the inner wall of the pipeline and the change in boundary layer thickness on the flow rate, resulting in limited control capabilities for flow fluctuations during transportation, and prone to flow instability under complex working conditions. For example, when the liquid flow rate fluctuates due to increased boundary layer resistance, it is difficult for the system to adjust the pump speed or valve opening in time, affecting the transportation efficiency. In terms of abnormal state monitoring, it is difficult to capture complex abnormal conditions such as leakage or blockage in liquid transportation by relying solely on liquid level and pressure detection, and it is easy to ignore potential risks, such as temperature rise or abnormal flow in the pipeline. In bearing temperature management, failure to identify temperature rise hazards through frequency characteristic analysis may cause bearing overheating and damage, and increase equipment maintenance costs. In the process of switching working states, the dynamic changes of liquid fluctuations and energy consumption are not fully considered, which can easily cause unstable operation or energy waste, limiting the operating efficiency of the system. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings in the prior art and to propose an intelligent control system for a vacuum pump and a water supply pump.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: the intelligent control system of the vacuum pump and the water supply pump comprises:

[0006] The liquid delivery adjustment module of the water supply pump collects the operating parameters and liquid state information of the water supply pump, analyzes the boundary layer thickness of the inner wall area of ​​the water supply pump connecting pipe according to the operating parameters and the liquid state information, determines the influence of the change of boundary layer thickness on the fluctuation of liquid flow, adjusts the rotation speed and valve opening of the water supply pump, and generates the preliminary operation adjustment result of the water supply pump, wherein the operating parameters include the inlet pressure and outlet pressure of the water supply pump, and the liquid state information includes the liquid flow and liquid temperature;

[0007] The water supply pump abnormality detection module monitors the liquid delivery process in real time based on the preliminary operation adjustment result of the water supply pump, determines whether there is an abnormal state in the liquid delivery process according to the pressure difference corresponding to the inlet pressure and the outlet pressure of the water supply pump, and generates abnormal state characteristic data of the water supply pump;

[0008] The water supply pump bearing temperature analysis module collects the temperature change data of the water supply pump bearing during the operation of the water supply pump, and converts it into a temperature signal that changes with time. The potential bearing hot spot area is identified according to the temperature signal, and the temperature change rate of the potential bearing hot spot area is calculated to predict the bearing hot spot area in the future, and generate analysis results of potential bearing hot spots and future heat accumulation areas.

[0009] The multi-stage working state coordination switching module identifies the current working state of the water supply pump, optimizes the operating parameters of the water supply pump according to the abnormal state characteristic data of the water supply pump and the analysis results of potential bearing hot spots and future heat accumulation areas, and obtains the abnormal state adjustment result of the water supply pump. The interpolation optimization result is obtained by performing segmented interpolation fitting on the operating parameters when the working states of the water supply pump and the vacuum pump are switched. According to the interpolation optimization result and the abnormal state adjustment result information of the water supply pump, the intelligent control results of the vacuum pump and the water supply pump are generated.

[0010] As a further solution of the present invention, the step of obtaining the boundary layer thickness of the inner wall area of ​​the water supply pump connecting pipe is specifically as follows:

[0011] Collecting the operating parameters and liquid status information of the water supply pump, and measuring the liquid flow rate of the inner wall area of ​​the water supply pump connecting pipe, to generate the operating parameters and liquid status information of the water supply pump;

[0012] Based on the water supply pump operating parameters and liquid state information, the formula is used:

[0013]

[0014] Calculate the liquid flow gradient from the measured liquid flow rate , used to represent the rate of change of liquid flow velocity in the direction perpendicular to the inner wall of the pipe connecting the water supply pump, and to generate liquid flow velocity gradient data;

[0015] in, They represent the liquid flow rate at two measuring points on the inner wall of the pipe connecting the water supply pump. Respectively represent the vertical distances between two measuring points on the inner wall of the pipe connected to the water supply pump and the pipe wall;

[0016] Based on the liquid flow rate gradient data, the formula is used:

[0017]

[0018] Calculate the boundary layer thickness of the inner wall area of ​​the pipe connecting the water supply pump , get the boundary layer thickness data;

[0019] in, It is the kinematic viscosity of the liquid obtained based on the liquid temperature and the liquid's own characteristics. It is the boundary layer correction factor set according to the kinematic viscosity of the liquid.

[0020] As a further solution of the present invention, the steps for obtaining the preliminary operation adjustment result of the water supply pump are specifically as follows:

[0021] Based on the operating parameters of the water supply pump, the formula is adopted:

[0022]

[0023] Calculate the pressure gradient in the pipe connecting the water supply pump , and obtain the pressure gradient analysis results;

[0024] in, is the outlet pressure of the water supply pump connecting pipe, is the inlet pressure of the water supply pump connecting pipe, is the length of the pipe connecting the water supply pump;

[0025] Analyze the changing relationship between the pressure gradient analysis result and the boundary layer thickness data, determine the impact of the changing relationship on the liquid flow fluctuation, adjust the speed and valve opening of the water supply pump, and generate preliminary operation adjustment results of the water supply pump.

[0026] As a further solution of the present invention, the step of acquiring the abnormal state characteristic data of the water supply pump is specifically as follows:

[0027] Based on the preliminary operation adjustment result of the water supply pump, monitor the temperature change of the liquid in the water supply pump connecting pipe, analyze the influence of the continuous temperature change on the kinematic viscosity of the liquid, and generate the liquid viscosity influence analysis result;

[0028] Based on the analysis results of the influence of liquid viscosity, the pressure difference between the inlet pressure and the outlet pressure of the water supply pump is obtained, the pressure difference is compared with a preset pressure threshold, the situation exceeding the pressure threshold is marked as an abnormal state, and abnormal state characteristic data of the water supply pump is generated.

[0029] As a further solution of the present invention, the step of obtaining the potential hot spot area of ​​the bearing is specifically as follows:

[0030] The temperature change data of the water supply pump bearings during the operation of the water supply pump is collected in real time and sorted into a time series. The time series of the temperature change data is converted into a frequency domain signal through Fourier transform processing to generate energy distribution information of the frequency domain signal;

[0031] The energy distribution information of the frequency domain signal is compared with a preset frequency energy threshold, and the frequencies above the frequency energy threshold and their corresponding time periods are marked and located as potential bearing hot spot areas, thereby generating a potential bearing hot spot area identification result.

[0032] As a further solution of the present invention, the steps for obtaining the analysis results of the potential bearing hot spots and future heat accumulation areas are specifically as follows:

[0033] Based on the potential bearing hot spot area identification results, the formula is used:

[0034]

[0035] Calculate the current time The rate of temperature change in potential bearing hot spots , generate temperature change rate data;

[0036] in, It is the current moment Real-time temperature change value of potential bearing hot spot areas, It was the last moment The rate of temperature change in potential bearing hotspot areas, is the ambient temperature compensation item set according to the temperature change rate, It is a weighted coefficient set according to the real-time temperature change value and temperature change rate. It is the ambient temperature compensation coefficient set according to the temperature change rate;

[0037] Based on the temperature change rate data, the change trend of the temperature rate is analyzed, the potential bearing hot spot areas in the future are predicted, and the analysis results of the potential bearing hot spot areas and future heat accumulation areas are generated.

[0038] As a further solution of the present invention, the step of obtaining the abnormal state adjustment result of the water supply pump is specifically as follows:

[0039] Based on the real-time operating parameters of the water supply pump, the water supply pump load is adjusted according to the abnormal state characteristic data of the water supply pump to optimize the operating mode, maintain the pressure difference of the water supply pump, and generate an optimized water supply pump operating mode;

[0040] According to the analysis results of the potential bearing hot spots and future heat accumulation areas, the water supply pump bearing speed is gradually adjusted and the temperature changes of the water supply pump bearing are monitored in real time. The information of the optimized water supply pump operation mode is integrated to generate the abnormal state adjustment results of the water supply pump.

[0041] As a further solution of the present invention, the steps for obtaining the intelligent control results of the vacuum pump and the water supply pump are specifically as follows:

[0042] Monitor the operating status changes of the vacuum pump and the water supply pump before and after the working status switching, extract the data of the operating status changes at different time points, including the pressure and flow at the starting point, middle point and end point, and perform interpolation fitting to generate the state switching operating parameter optimization results;

[0043] Based on the state switching operation parameter optimization results, the parameters of the vacuum pump are adjusted to match the dynamic changes of the water supply pump. Combined with the abnormal state adjustment results of the water supply pump, all information is integrated to generate intelligent control results of the vacuum pump and the water supply pump.

[0044] Compared with the prior art, the advantages and positive effects of the present invention are:

[0045] In the present invention, by collecting the operating parameters and liquid state information of the water supply pump in real time, and measuring the liquid flow rate and flow rate gradient on the inner wall of the pipeline to calculate the boundary layer thickness, and analyzing its relationship with the pressure gradient, the ability to regulate fluid flow fluctuations is effectively improved, and the stability of liquid transportation is enhanced. During the liquid transportation process, the influence of liquid viscosity is analyzed by temperature changes, and the transportation state is monitored in combination with pressure difference, so that abnormal conditions can be quickly identified and marked, and safety and fault response speed are improved. The energy distribution of the bearing temperature signal is analyzed by frequency, and the heat accumulation area is predicted, which significantly enhances the reliability of equipment operation and extends the service life of the equipment. For the switching of the working state of the pump group, the segmented interpolation fitting of the operating parameters is used to avoid liquid fluctuations and increased energy consumption, ensure a smooth transition during the system switching process, optimize the overall operating energy efficiency and control accuracy, and improve the operating efficiency, stability and intelligence level of the system under complex working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a system flow chart of the present invention;

[0047] Figure 2 A flow chart for analyzing the boundary layer thickness of the inner wall area of ​​the water supply pump connecting pipe according to the present invention;

[0048] Figure 3 A flow chart of obtaining preliminary operation adjustment results of a water supply pump according to the present invention;

[0049] Figure 4 A flow chart of obtaining abnormal state characteristic data of a water supply pump according to the present invention;

[0050] Figure 5 A flow chart for identifying potential bearing hot spot areas for the present invention;

[0051] Figure 6 A flow chart for obtaining analysis results of potential bearing hot spots and future heat accumulation areas for the present invention;

[0052] Figure 7A flow chart of obtaining the abnormal state adjustment result of the water supply pump according to the present invention;

[0053] Figure 8 The present invention is a flow chart for obtaining intelligent control results of a vacuum pump and a water supply pump. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0056] See also Figure 1 , vacuum pump and water supply pump intelligent control system includes:

[0057] The water supply pump liquid delivery adjustment module collects the operating parameters of the water supply pump and liquid state information, including the inlet pressure, outlet pressure, liquid flow rate and liquid temperature of the water supply pump, and uses the vacuum pump to suck the air in the liquid storage container to establish negative pressure. When the liquid level in the liquid storage container reaches a predetermined height, the vacuum pump is controlled to stop working, and the water supply pump is started to realize liquid delivery. During the liquid delivery process, the liquid flow rate in the inner wall area of ​​the water supply pump connecting pipe is measured, and the liquid flow rate gradient is calculated to analyze the boundary layer thickness of the inner wall area of ​​the water supply pump connecting pipe. The pressure gradient in the water supply pump connecting pipe is calculated according to the inlet pressure and outlet pressure of the water supply pump. According to the relationship between the boundary layer thickness and the pressure gradient, the influence of the change of the boundary layer thickness on the fluctuation of the liquid flow is judged, and the rotation speed and valve opening of the water supply pump are adjusted to generate the preliminary operation adjustment result of the water supply pump;

[0058] The water supply pump abnormality detection module monitors the liquid delivery process in real time based on the preliminary operation adjustment results of the water supply pump, analyzes the influence of the liquid temperature changing over time in the water supply pump connecting pipe on the liquid viscosity, and judges whether there is an abnormal state in the liquid delivery process according to the pressure difference corresponding to the inlet pressure and outlet pressure of the water supply pump. The abnormal state is that the flow of the liquid in the water supply pump connecting pipe is blocked or leaks. When an abnormal state exists, the abnormal state is marked to generate abnormal state characteristic data of the water supply pump;

[0059] The water supply pump bearing temperature analysis module collects the temperature change data of the water supply pump bearing during the operation of the water supply pump, converts it into a temperature signal that changes with time through Fourier transform processing, analyzes the energy distribution of the temperature signal at each frequency, compares the energy distribution of the temperature signal with the preset frequency energy threshold, identifies potential bearing hot spot areas, calculates the temperature change rate of potential bearing hot spot areas through the exponential weighted moving average method, predicts the bearing hot spot areas in the future, and generates analysis results of potential bearing hot spots and future heat accumulation areas;

[0060] The multi-stage working state coordination switching module identifies the current working state of the water supply pump, including startup, operation and shutdown, and further optimizes the operation mode of the water supply pump according to the abnormal state characteristic data of the water supply pump. At the same time, according to the analysis results of potential bearing overheating points and future heat accumulation areas, if there are potential bearing overheating points, the bearing speed of the water supply pump is adjusted to obtain the abnormal state adjustment result of the water supply pump. When the working state of the vacuum pump and the water supply pump is switched, the operating parameters of the water supply pump and the vacuum pump are interpolated and fitted in sections to avoid liquid fluctuations and increased energy consumption caused by the working state conversion, and the interpolation optimization results are obtained. According to the interpolation optimization results and the abnormal state adjustment result information of the water supply pump, the intelligent control results of the vacuum pump and the water supply pump are generated;

[0061] The preliminary operation adjustment results of the water supply pump include the optimal speed of the water supply pump, the valve opening adjustment value and the expected liquid delivery efficiency; the abnormal state characteristic data of the water supply pump include the identified flow obstruction and leakage locations, the time of the abnormality and the possible causes of the abnormality; the analysis results of potential bearing hot spots and future heat accumulation areas include the identified hot spot locations, the temperature rise trend and the predicted future overheating risk level; the intelligent control results of the vacuum pump and water supply pump include the time point of working state switching, the adjusted parameter settings of the water supply pump and vacuum pump, and the expected reduction in energy consumption and liquid fluctuations.

[0062] See also Figure 2 , the steps for obtaining the boundary layer thickness of the inner wall area of ​​the water supply pump connecting pipe are as follows:

[0063] Collecting the operating parameters and liquid status information of the water supply pump, and measuring the liquid flow rate of the inner wall area of ​​the water supply pump connecting pipe, to generate the operating parameters and liquid status information of the water supply pump;

[0064] The operating parameters of the water supply pump and the liquid status information are collected. The inlet and outlet pressure data are obtained through the pressure sensors installed at the inlet and outlet of the water supply pump. The analog signals are converted into digital signals and transmitted in real time. The flow rate of the liquid is obtained using the flow meter at the outlet pipe of the water supply pump. The liquid temperature is measured in real time by a precision temperature sensor and recorded synchronously with the pressure and flow data. During the liquid transportation process, the liquid flow conditions in the inner wall area of ​​the pipe connected to the water supply pump are recorded by video. The liquid movement is tracked and analyzed in combination with the particle image velocimetry technology. The image data is input into the image processing and analysis software DaVis for processing, and the liquid flow velocity data of the inner wall area of ​​the pipe is extracted. All the collected sensor data and image processing results are input into the LabVIEW platform and integrated into a comprehensive data set that can be used for subsequent calculations and analysis.

[0065] Based on the water supply pump operating parameters and liquid state information, the formula is used:

[0066]

[0067] Calculate the liquid flow gradient from the measured liquid flow rate , represents the rate of change of the liquid flow velocity in the direction perpendicular to the inner wall of the pipe connecting the water supply pump, and generates liquid flow velocity gradient data;

[0068] in, Respectively represent the liquid flow rate at two measuring points on the inner wall of the water supply pump connecting pipe, in units of , obtained through PIV speed measurement, Respectively represent the vertical distance between the two measuring points on the inner wall of the water supply pump connecting pipe and the pipe wall, in units of , obtained by a laser rangefinder.

[0069] Assume that the vertical distances between the two measuring points are and The flow velocities at the two points measured by the velocimeter are and , substitute into the formula to calculate:

[0070]

[0071] The calculated flow velocity gradient is , which represents the rate of change of liquid flow velocity in the vertical direction.

[0072] Based on the liquid velocity gradient data, the formula is used:

[0073]

[0074] Calculate the boundary layer thickness of the inner wall area of ​​the pipe connecting the water supply pump , get the boundary layer thickness data;

[0075] in, It is the kinematic viscosity of the liquid obtained based on the liquid temperature and the liquid's own characteristics, and the unit is , find the corresponding viscosity value from the liquid viscosity data by the liquid temperature, for example, for water at The kinematic viscosity is , It is a boundary layer correction factor set according to the kinematic viscosity of the liquid. It is used to correct the calculation deviation caused by differences in liquid properties, pipe inner wall characteristics and liquid flow state. It is determined based on actual working conditions through analysis and statistics of relevant data, for example, through the kinematic viscosity of the liquid. and flow gradient Given the known data, calculate the actual boundary layer thickness: , analyze the systematic differences between the actual measured values ​​and the above calculated values ​​under different materials and working conditions, and use the correction factor To express this difference, The value of is determined by the following relationship: , assuming the following conditions: the pipe material is smooth steel, the liquid is water (kinematic viscosity ), the velocity gradient near the pipe wall is measured as The actual boundary layer thickness is ,but , Therefore, under this condition, set for .

[0076] Assume that ,Pick (viscosity of water at 20°C), take , substitute the parameters into the formula:

[0077] ;

[0078] ;

[0079] The calculated boundary layer thickness is , compared with the historical reference value under the same assumed operating conditions or , which indicates that the current liquid flow state is close to the reference state. For example, if the boundary layer thickness deviates significantly from the reference value, it may indicate that the system has abnormal flow resistance or pump speed mismatch problems. The current result is close to the reference value, indicating that the water supply pump operation state and liquid delivery performance are relatively stable and no further adjustment is required.

[0080] See also Figure 3 , the specific steps for obtaining the preliminary operation adjustment results of the water supply pump are:

[0081] Based on the operating parameters of the water supply pump, the formula is used:

[0082]

[0083] Calculate the pressure gradient in the pipe connecting the water supply pump , and obtain the pressure gradient analysis results;

[0084] in, It is used to reflect the resistance of liquid flow in the pipeline. is the outlet pressure of the water supply pump connecting pipe, in units of , which is obtained by real-time monitoring through the pressure sensor installed at the outlet of the water supply pump. is the inlet pressure of the water supply pump connecting pipe, in units of , which is obtained by real-time monitoring through the pressure sensor installed at the inlet of the water supply pump. is the length of the pipe connecting the water supply pump, in units of , which represents the straight-line distance between the outlet and inlet pressure sensors, can be confirmed by the design documents of the pipeline or directly measured by a distance measurement tool.

[0085] Assume that the pressure difference measured by the sensor is , :

[0086] ;

[0087] ;

[0088] Assume that the historical pressure gradient baseline for similar flow and pipeline conditions is , and the current calculation result is ,Compared to the baseline value, the current pressure gradient is slightly higher, indicating that the flow resistance in the pipeline may increase, which may be caused by the possibility of dirt or corrosion on the inner wall of the pipeline, resulting in an increased resistance.

[0089] Analyze the changing relationship between the pressure gradient analysis results and the boundary layer thickness data, determine the impact of the changing relationship on the liquid flow fluctuation, and adjust the speed and valve opening of the water supply pump to generate the preliminary operation adjustment results of the water supply pump;

[0090] According to calculations, the boundary layer thickness is , the pressure gradient is The two reflect the velocity distribution characteristics of the fluid near the pipe wall and the pressure change rate along the pipe, respectively. Regarding the effect of boundary layer thickness change on liquid flow: the smaller the boundary layer thickness, the greater the velocity gradient of the liquid in the pipe wall area, the more stable the flow velocity in the mainstream area, and the smaller the overall flow fluctuation. Current boundary layer thickness Close to the benchmark value , indicating that the flow state of the liquid in the pipeline is close to the design expectation, with no obvious abnormalities. If the boundary layer thickness deviates from the reference value, such as significantly increasing or decreasing, it may cause flow fluctuations. When it increases, the fluid may slow down due to the pipe wall effect, and when it decreases, the turbulence increases. Regarding the effect of pressure gradient changes on liquid flow: the reference value of pressure gradient is , and the current value is , slightly higher than the baseline value. This indicates that the resistance in the pipeline has increased, which may lead to a decrease in flow. This change in pressure gradient may be caused by increased roughness of the inner wall of the pipeline, dirt accumulation or changes in liquid viscosity. It is necessary to check whether there is an increase in operating resistance in the system. For the adjustment of the speed of the water supply pump: If the boundary layer thickness and the pressure gradient increase at the same time, the speed of the water supply pump can be appropriately reduced to slow down the friction effect of the fluid near the pipe wall and reduce the pressure gradient. The reduction in speed can reduce the flow rate output by the pump, thereby reducing the turbulence intensity and alleviating flow fluctuations. Valve opening adjustment: A slightly higher pressure gradient may indicate an increase in flow resistance. If the system operation allows, the valve opening can be appropriately increased to reduce the pressure loss in the pipeline. While increasing the opening, it is necessary to closely monitor the flow changes to ensure that the fluid control does not fail due to excessive opening.

[0091] See also Figure 4 , the specific steps for obtaining the abnormal state characteristic data of the water supply pump are as follows:

[0092] Based on the preliminary operation adjustment results of the water supply pump, monitor the temperature changes of the liquid in the water supply pump connecting pipe, analyze the impact of continuous temperature changes on the kinematic viscosity of the liquid, and generate the liquid viscosity impact analysis results;

[0093] Based on the preliminary operation adjustment results of the water supply pump, the system monitors the temperature changes during the liquid delivery process and its impact on viscosity in real time. As the liquid flows in the pipe connecting the water supply pump, its temperature may increase or decrease due to friction, ambient temperature changes or chemical reactions. The viscosity of the liquid is negatively correlated with temperature, that is, as the temperature increases, the viscosity usually decreases; and as the temperature decreases, the viscosity increases. When the viscosity decreases due to increased temperature, the flow resistance of the pump decreases, which may increase the output flow rate; conversely, when the viscosity increases due to decreased temperature, the flow resistance increases, and more power may be required to maintain the same output flow rate, so as to further optimize the preliminary operation adjustment of the water supply pump.

[0094] Based on the analysis results of the influence of liquid viscosity, the pressure difference between the inlet pressure and the outlet pressure of the water supply pump is obtained, the pressure difference is compared with the preset pressure threshold, the situation exceeding the pressure threshold is marked as an abnormal state, and the abnormal state characteristic data of the water supply pump is generated;

[0095] The pressure threshold is set to 0.05 bar to monitor and evaluate the normal operation of the water supply pump. When the pressure difference between the inlet and outlet of the water supply pump is greater than the pressure threshold, it may indicate an abnormality. For example, if the measured pressure difference reaches 0.08 bar, this usually means that there may be flow obstruction in the water supply system, such as sediment accumulation in the pipe or compression of the pipe part causing stenosis. This obstruction to normal flow needs to be dealt with in time. On the contrary, if the measured pressure difference is 0.03 bar, and this low pressure difference persists, it may be caused by a leak in the system, and the liquid has partially lost before reaching the end point. In both cases, the system will automatically mark the abnormal state and generate detailed abnormal state characteristic data, such as the specific time and location of the abnormality, for maintenance personnel to further analyze and handle. If the pressure difference is maintained between 0.04 and 0.05 bar, it usually indicates that the system is operating normally and no additional measures are required.

[0096] See also Figure 5 , the specific steps for identifying potential bearing hot spots are:

[0097] The temperature change data of the water supply pump bearings during the operation of the water supply pump is collected in real time and sorted into a time series. The time series of the temperature change data is converted into a frequency domain signal through Fourier transform processing to generate energy distribution information of the frequency domain signal;

[0098] The temperature change data of the water supply pump bearing during the operation of the water supply pump is collected, and the bearing temperature change is recorded using a temperature sensor. The collected temperature change data is processed through MATLAB software. After the time series data is imported, the data is preprocessed, including removing noise points and outliers to ensure the continuity and authenticity of the data. Then, the fft function of MATLAB is used to perform Fourier transform to convert the temperature change data from the time domain to the frequency domain signal. In this process, the sampling frequency is set to ensure that the Nyquist sampling theorem is met, that is, the sampling frequency must be greater than twice the highest frequency in the signal. The specific operation is to first determine the highest frequency component of the temperature signal through trial sampling or empirical data. For example, assuming that the highest frequency of the signal is 50Hz, the sampling frequency should be set to at least 100Hz. The real-time temperature data is uniformly sampled using the set sampling frequency, and the complex form data obtained by FFT is split into amplitude and phase parts. The energy distribution of the frequency signal is extracted from the amplitude spectrum, and a spectrum diagram is generated to visualize the distribution of the frequency components. The results are saved as a list of frequencies and corresponding amplitudes for further analysis of temperature change characteristics and association with time series.

[0099] Compare the energy distribution information of the frequency domain signal with the preset frequency energy threshold, mark the frequencies above the frequency energy threshold and their corresponding time periods, locate them as potential bearing hotspot areas, and generate potential bearing hotspot area identification results;

[0100] MATLAB is used to normalize the amplitude data. For example, in the frequency range of 0-100 Hz, it is assumed that the amplitude at 20 Hz is 0.8, the amplitude at 50 Hz is 1.2, and the preset frequency energy threshold is 1. By comparison, it is found that the amplitude of 50 Hz, 1.2, is greater than the preset frequency energy threshold of 1, and 50 Hz is marked as an abnormal frequency point. The signal period corresponding to the 50 Hz frequency in the positioning time series is a high-frequency abnormal area, such as the local heat accumulation phenomenon caused by the high-speed vibration of the contact surface between the ball or roller of the rolling bearing and the inner or outer ring. Through the time series data, it can be further specifically located as the period from the 30th second to the 45th second of the running time. The physical position corresponding to this area may be the ball contact point or the friction surface with insufficient lubrication. The amplitude at 20 Hz is 0.8, which is lower than the preset frequency energy threshold of 1, indicating that the energy level in the 20 Hz frequency band is normal. This frequency is usually related to the low-frequency oscillation of the overall bearing movement and does not show hot spot characteristics. Ultimately, through this comparison of frequency energy distribution, 50 Hz was identified as an abnormal frequency with a potential hotspot, and the associated time period and area can be further used to locate specific physical abnormal points.

[0101] See also Figure 6 The steps for obtaining the analysis results of potential bearing hot spots and future heat accumulation areas are as follows:

[0102] Based on the identification results of potential bearing hot spots, the formula is used:

[0103]

[0104] Calculate the current time The rate of temperature change in potential bearing hot spots , generate temperature change rate data;

[0105] in, It is the current moment The real-time temperature change value of the potential bearing hot spot area, in units , directly measure the bearing temperature through the temperature sensor and record it, It was the last moment The rate of temperature change in the potential bearing hot spot area, in , directly read from the calculation results of the previous time step and pass it as input to the next step of calculation, It is the ambient temperature compensation item set according to the temperature change rate, and the unit is , by collecting the ambient temperature value in real time and calculating the rate of change, the formula is: , It is the current moment The ambient temperature in , measured directly by the ambient temperature sensor, It was the last moment The ambient temperature in , measured directly by the ambient temperature sensor, is the time interval in units of , determined according to the sensor sampling interval, It is a weighting coefficient set according to the real-time temperature change value and the temperature change rate, which is used to allocate the importance of the real-time temperature change value. The range is , weighting coefficient Determines the degree of influence of the real-time temperature change value on the temperature change rate. During the setting process, it is necessary to adjust according to the volatility of the real-time data and the historical trend. If the real-time temperature data fluctuates greatly, such as when the environment changes drastically or the load increases suddenly, it should be increased. The value of can pay more attention to the current data changes, so as to quickly respond to temperature anomalies. If the temperature data is relatively stable, for example, the bearing is in a stable working state, the historical trend is more referenceable, then reduce The value of can be used to increase the weight of historical data and smooth the temperature rate change. For example, in the early stage of bearing operation (start-up phase), the temperature may rise rapidly and the sampled data may show large fluctuations. In this case, a larger value can be set, such as , reflecting real-time changes more quickly; in the long-term stable operation stage (after more than 30 minutes of operation), the data fluctuation range is reduced, which can reduce to 0.5, It is the ambient temperature compensation coefficient set according to the temperature change rate, which is used to adjust the ambient temperature fluctuation to the temperature change rate. During the setting process, the amplitude of the ambient temperature change and its correlation with the bearing temperature change need to be considered. If the ambient temperature change has a greater impact on the bearing temperature change, such as an unstable operating environment (such as strong winds in an open-air pump room or a large temperature difference between day and night), then increase the , ensure that environmental factors are fully considered. If the ambient temperature change has little effect on the bearing temperature, such as in a constant temperature plant or equipment with good insulation protection measures, then reduce To avoid over-compensation and error amplification, for example, assuming that the water supply pump is operated in an open-air environment with significant temperature difference between day and night, the ambient temperature fluctuation range is , a larger value should be set In a closed factory, the temperature control system controls the ambient temperature fluctuation range within Within, it can be reduced To 0.05.

[0106] Assume that the temperature sensor is used to obtain and , historical data fitting analysis , experimental analysis shows .

[0107] Current ambient temperature , the previous ambient temperature , time interval .

[0108] Calculate the ambient temperature compensation term :

[0109]

[0110] Substitute the formula to calculate the temperature change rate :

[0111] Assume that the current , the last moment , the formula is as follows:

[0112]

[0113] The result shows that the temperature change rate at the current moment is .

[0114] Based on the temperature change rate data, analyze the temperature rate change trend, predict the future potential bearing hot spot areas, and generate analysis results of potential bearing hot spots and future heat accumulation areas;

[0115] Based on the temperature change rate calculated by the exponentially weighted moving average method , combined with the reference results of temperature change rate threshold and frequency analysis, the future heat accumulation in other areas is predicted. First, determine whether the current rate exceeds the temperature change threshold defined in the historical sample (such as ). Since the calculation result has exceeded the threshold, further analysis is conducted to determine whether its change trend may cause heat accumulation in other areas. Combined with the abnormal frequency points (such as 50Hz) and time periods (30th to 45th seconds) in the frequency analysis results, it is assumed that the heat accumulation area corresponding to this frequency band is the initial position, and whether there is a possibility of continuous impact on other areas. During the prediction process, the time series analysis tool of MATLAB is used to perform correlation analysis on the current rate results and the historical data of other frequency bands to check whether the amplitude changes of the abnormal frequency points spread over time, especially focusing on the adjacent frequency bands associated with 50Hz (such as 45Hz to 55Hz). If the amplitudes of these frequency bands show a synchronous upward trend, it is judged that heat accumulation may extend to other areas. When drawing, a comprehensive chart of time, rate, and frequency amplitude changes is generated, with the horizontal axis being time and the vertical axis being rate and amplitude respectively. Mark the initial heat accumulation area (such as the ball contact point corresponding to the 30th to 45th seconds), and expand the prediction of the areas and time periods that may be affected. For example, if the rate is continuously higher than the threshold from the 45th to the 60th second, and the adjacent frequency amplitudes increase synchronously, then a certain area of ​​the bearing outer ring from the 45th to the 60th second is marked as a potential hot spot in the future. Finally, by combining the rate threshold judgment and the frequency energy distribution, the areas and time periods that may be affected in the future are identified, providing a basis for predicting potential risks. The analysis results are summarized as the heat accumulation diffusion trend and the related physical location to assist in bearing maintenance and condition monitoring decisions.

[0116] See also Figure 7 , the specific steps for obtaining the abnormal state adjustment result of the water supply pump are:

[0117] Based on the real-time operating parameters of the water supply pump, the water supply pump load is adjusted according to the abnormal state characteristic data of the water supply pump to optimize the operating mode, maintain the pressure difference of the water supply pump, and generate an optimized water supply pump operating mode;

[0118] Identify the current working state of the water supply pump, including startup, operation and shutdown, by collecting the real-time operating parameters of the water supply pump (such as speed, inlet pressure and outlet pressure) and judging its characteristic value range. Combined with the marked liquid viscosity change trend and inlet and outlet pressure difference characteristics in the abnormal state characteristic data of the water supply pump, further optimize the operation mode of the water supply pump. During the optimization process, if the liquid viscosity decreases due to the increase in temperature, resulting in a decrease in flow resistance, the speed of the water supply pump is appropriately reduced to reduce energy consumption; if the liquid temperature decreases, resulting in an increase in viscosity and an increase in flow resistance, the speed is appropriately increased according to the pressure change trend to ensure flow stability. At the same time, for the operating state marked as the inlet and outlet pressure difference close to the preset pressure threshold, the speed or load is adjusted to maintain the pressure difference within the normal range to prevent liquid flow obstruction or increase in energy consumption, thereby optimizing the overall operation mode of the water supply pump and ensuring operation efficiency and stability.

[0119] According to the analysis results of potential bearing hot spots and future heat accumulation areas, the bearing speed of the water supply pump is gradually adjusted and the temperature changes of the water supply pump bearing are monitored in real time. The information of the optimized water supply pump operation mode is integrated to generate the abnormal state adjustment results of the water supply pump;

[0120] According to the analysis results of potential bearing hot spots and future heat accumulation areas, if the marked potential bearing hot spots have a trend of continuous high temperature accumulation within a specific time period, the abnormal state is adjusted by adjusting the bearing speed of the water supply pump. The adjustment process first analyzes the operating parameters of the current water supply pump, such as speed, pressure, and temperature rate, and determines the adjustment plan in combination with the characteristics of the heat accumulation area of ​​the potential bearing hot spots. In the specific operation, the bearing speed of the water supply pump is gradually reduced through the frequency conversion control module; if the heat accumulation trend has not slowed down, it is further adjusted to a lower speed, and the bearing temperature change rate is monitored in real time to confirm the adjustment effect. If the analysis shows that the local high temperature area has subsided and the temperature rate has fallen back to the normal range, the adjustment is marked as complete, and the abnormal state adjustment result of the water supply pump is generated, recording data including the adjusted bearing speed, temperature change rate curve, and the time point when the abnormal state is eliminated.

[0121] See also Figure 8 , the specific steps for obtaining the intelligent control results of the vacuum pump and the water supply pump are:

[0122] Monitor the operating status changes of the vacuum pump and the water supply pump before and after the working status switching, extract the data of the operating status changes at different time points, including the pressure and flow at the starting point, middle point and end point, and perform interpolation fitting to generate the state switching operating parameter optimization results;

[0123] When the working state of the vacuum pump and the water supply pump is switched, the operating parameters of the water supply pump and the vacuum pump are interpolated and fitted in sections. By real-time monitoring of the inlet pressure, outlet pressure of the water supply pump and the suction pressure, speed and other operating parameters of the vacuum pump, the change process of these parameters is processed in sections according to the trend before and after the switch. First, according to the change of the operating state at the switching time point, the time axis is divided into multiple intervals, such as one interval before the switch, during the switch and after the switch, and then the data points of the key time points (such as the pressure and flow values ​​at the starting point, middle point and end point of the switch) are extracted in each interval. MATLAB is used to perform segmented interpolation fitting on these key point data in each interval, calculate the smooth change trend of pressure and flow in the time period, generate a continuous smooth data sequence in the switching time period, and ensure that the dynamic transition of pressure and flow during the switching process is smooth. After the interpolation is completed, the operating parameter curve of the entire switching process is generated in combination with the fitted pressure and flow data. The curve verifies whether the liquid flow fluctuation is eliminated and ensures that the energy consumption fluctuates within a reasonable range. The final fitting results are used to optimize the state switching operating parameters of the water supply pump and the vacuum pump, and reduce the liquid fluctuation and energy consumption increase during the switching process.

[0124] Based on the state switching operation parameter optimization results, the parameters of the vacuum pump are adjusted to match the dynamic changes of the water supply pump. Combined with the abnormal state adjustment results of the water supply pump, all information is integrated to generate intelligent control results of the vacuum pump and the water supply pump.

[0125] Utilizing the adjusted water supply pump bearing speed data and its real-time impact on temperature and flow, correlate and analyze it with the operating parameters of the vacuum pump. For example, the flow output of the water supply pump is matched with the dynamic changes of the vacuum pump suction pressure. By adjusting the speed of the vacuum pump, the two pumps can work together to ensure pressure and flow balance. Ultimately, intelligent control results are generated, including target operating parameter settings and adjustment records for the water supply pump and vacuum pump.

[0126] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. Intelligent control system for vacuum pump and water supply pump, characterized in that: The system comprises: The liquid delivery adjustment module of the water supply pump collects the operating parameters and liquid state information of the water supply pump, analyzes the boundary layer thickness of the inner wall area of ​​the water supply pump connecting pipe according to the operating parameters and the liquid state information, determines the influence of the change of boundary layer thickness on the fluctuation of liquid flow, adjusts the rotation speed and valve opening of the water supply pump, and generates the preliminary operation adjustment result of the water supply pump, wherein the operating parameters include the inlet pressure and outlet pressure of the water supply pump, and the liquid state information includes the liquid flow and liquid temperature; The water supply pump abnormality detection module monitors the liquid delivery process in real time based on the preliminary operation adjustment result of the water supply pump, determines whether there is an abnormal state in the liquid delivery process according to the pressure difference corresponding to the inlet pressure and the outlet pressure of the water supply pump, and generates abnormal state characteristic data of the water supply pump; The water supply pump bearing temperature analysis module collects the temperature change data of the water supply pump bearing during the operation of the water supply pump, and converts it into a temperature signal that changes with time. The potential bearing hot spot area is identified according to the temperature signal, and the temperature change rate of the potential bearing hot spot area is calculated to predict the bearing hot spot area in the future, and generate analysis results of potential bearing hot spots and future heat accumulation areas. The multi-stage working state coordination switching module identifies the current working state of the water supply pump, optimizes the operating parameters of the water supply pump according to the abnormal state characteristic data of the water supply pump and the analysis results of potential bearing hot spots and future heat accumulation areas, and obtains the abnormal state adjustment result of the water supply pump. The interpolation optimization result is obtained by performing segmented interpolation fitting on the operating parameters when the working states of the water supply pump and the vacuum pump are switched. According to the interpolation optimization result and the abnormal state adjustment result information of the water supply pump, the intelligent control results of the vacuum pump and the water supply pump are generated.

2. The intelligent control system for vacuum pumps and water supply pumps according to claim 1 is characterized in that: The steps for obtaining the preliminary operation adjustment result of the water supply pump are specifically as follows: Based on the operating parameters of the water supply pump, the formula is adopted: ； Calculate the pressure gradient in the pipe connecting the water supply pump , and obtain the pressure gradient analysis results; in, is the outlet pressure of the water supply pump connecting pipe, is the inlet pressure of the water supply pump connecting pipe, is the length of the pipe connecting the water supply pump; Analyze the changing relationship between the pressure gradient analysis result and the boundary layer thickness data, determine the impact of the changing relationship on the liquid flow fluctuation, adjust the speed and valve opening of the water supply pump, and generate preliminary operation adjustment results of the water supply pump.

3. The intelligent control system for vacuum pump and water supply pump according to claim 1, characterized in that: The steps for obtaining the abnormal state characteristic data of the water supply pump are specifically as follows: Based on the preliminary operation adjustment result of the water supply pump, monitor the temperature change of the liquid in the water supply pump connecting pipe, analyze the influence of the continuous temperature change on the kinematic viscosity of the liquid, and generate the liquid viscosity influence analysis result; Based on the analysis results of the influence of liquid viscosity, the pressure difference between the inlet pressure and the outlet pressure of the water supply pump is obtained, the pressure difference is compared with a preset pressure threshold, the situation exceeding the pressure threshold is marked as an abnormal state, and abnormal state characteristic data of the water supply pump is generated.

4. The intelligent control system for vacuum pumps and water supply pumps according to claim 1, characterized in that: The steps for identifying the potential hot spot area of ​​the bearing are specifically as follows: The temperature change data of the water supply pump bearings during the operation of the water supply pump is collected in real time and sorted into a time series. The time series of the temperature change data is converted into a frequency domain signal through Fourier transform processing to generate energy distribution information of the frequency domain signal; The energy distribution information of the frequency domain signal is compared with a preset frequency energy threshold, and the frequencies above the frequency energy threshold and their corresponding time periods are marked and located as potential bearing hotspot areas, thereby generating a potential bearing hotspot area identification result.

5. The intelligent control system for vacuum pumps and water supply pumps according to claim 1, characterized in that: The steps for obtaining the abnormal state adjustment result of the water supply pump are specifically as follows: Based on the real-time operating parameters of the water supply pump, the water supply pump load is adjusted according to the abnormal state characteristic data of the water supply pump to optimize the operating mode, maintain the pressure difference of the water supply pump, and generate an optimized water supply pump operating mode; According to the analysis results of the potential bearing hot spots and future heat accumulation areas, the water supply pump bearing speed is gradually adjusted and the temperature changes of the water supply pump bearings are monitored in real time. The information of the optimized water supply pump operation mode is integrated to generate the abnormal state adjustment results of the water supply pump.

6. The intelligent control system for vacuum pumps and water supply pumps according to claim 1, characterized in that: The steps for obtaining the intelligent control results of the vacuum pump and the water supply pump are specifically as follows: Monitor the operating status changes of the vacuum pump and the water supply pump before and after the working status switching, extract the data of the operating status changes at different time points, including the pressure and flow at the starting point, middle point and end point, and perform interpolation fitting to generate the state switching operating parameter optimization results; Based on the state switching operation parameter optimization results, the parameters of the vacuum pump are adjusted to match the dynamic changes of the water supply pump. Combined with the abnormal state adjustment results of the water supply pump, all information is integrated to generate intelligent control results of the vacuum pump and the water supply pump.

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