Automatic water replenishing control method and system for working fluid water tank of vacuum pump set

Abstract

The invention discloses an automatic water replenishing control method and system for a working solution water tank of a vacuum pump set, and the method comprises the steps: obtaining and analyzing the historical operation data of the vacuum pump set, and determining key operation parameters which affect the consumption of a working solution; extracting features of the key operation parameters, and constructing a prediction model for prediction based on the features and a preset model to obtain working fluid consumption prediction data; dividing the working fluid consumption prediction data into a plurality of consumption stages, and determining consumption characteristics of the working fluid consumption prediction data; evaluating the consumption condition of the working solution based on the consumption characteristics to obtain a consumption evaluation value of each consumption stage, and determining a water replenishing adjustment coefficient based on the consumption evaluation value; and adjusting the water replenishing condition according to the water replenishing adjustment coefficient so as to control automatic water replenishing. According to the method, the consumption of the working solution is accurately predicted, and the reasonable water supplementing adjustment coefficient is determined through data analysis, so that the water supplementing amount is adjusted, the operation efficiency of the vacuum pump set is improved, manual intervention and operation cost are reduced, and it is ensured that the vacuum pump set works stably.

Description

Technical Field

[0001] The present invention relates to the technical field of water replenishment of a working fluid water tank of a vacuum pump group, and in particular to an automatic water replenishment control method and system for a working fluid water tank of a vacuum pump group. Background Art

[0002] In industrial production, vacuum pumps play a vital role in creating and maintaining a vacuum environment within the system. The working fluid tank within the vacuum pump is a key component, providing lubrication, sealing, and cooling to ensure the proper operation and stable performance of the pump. However, the working fluid in the tank is gradually consumed as the pump operates, requiring timely replenishment to maintain normal operation.

[0003] However, traditional methods usually rely on the operator's experience and subjective judgment to determine the amount of water to be added. They lack scientific basis and data support, require operators to check and adjust regularly, and there is a risk of human negligence or delayed water addition, which can easily lead to insufficient or excessive water addition. Moreover, the water addition method with manual intervention has a slow response speed and cannot monitor and adjust the water addition amount in real time, which may cause large fluctuations in the water level of the working fluid tank and affect the stable operation of the equipment. In addition, the traditional method cannot accurately predict the consumption of the working fluid and can only add water according to the water level in the tank, and cannot replenish the working fluid consumed in the working fluid tank in time. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for automatically replenishing the working fluid tank of a vacuum pump group, comprising: Obtain historical operating data of the vacuum pump group and analyze the historical operating data to determine the key operating parameters that affect the working fluid consumption; Extract the characteristics of key operating parameters, and build a working fluid consumption prediction model for the vacuum pump group based on the characteristics and the preset neural network model to obtain working fluid consumption prediction data; Perform stage analysis on the working fluid consumption forecast data, divide the working fluid consumption forecast data into multiple consumption stages, and determine the consumption characteristics of each consumption stage; Evaluate the consumption of the working fluid based on the consumption characteristics of each consumption stage, obtain the consumption evaluation value of each consumption stage, and determine the water replenishment adjustment coefficient based on the consumption evaluation value; The water replenishment conditions of the working fluid water tank in each consumption stage are adjusted according to each water replenishment adjustment coefficient, and the working fluid water tank is controlled to automatically replenish water according to the adjusted water replenishment conditions.

[0005] Furthermore, the acquisition of historical operating data of the vacuum pump group and analysis of the historical operating data to determine key operating parameters affecting the working fluid consumption include: Obtain historical operating data of the vacuum pump group and preprocess the historical operating data, including removing constant values, noise, filling missing values, and standardizing the data; Dividing the pre-processed historical operating data into multiple operating parameter data groups according to parameter types, and determining the historical working fluid consumption data of the vacuum pump group; The correlation between each operating parameter data group and the historical working fluid consumption data is calculated, and the parameters corresponding to the operating parameter data groups with correlations greater than a preset threshold are determined as key operating parameters affecting the working fluid consumption of the vacuum pump group.

[0006] Furthermore, the features of the key operating parameters are extracted, and a working fluid consumption prediction model of the vacuum pump group is constructed based on the features and a preset neural network model to perform prediction, thereby obtaining working fluid consumption prediction data, including: Extracting features of the operating parameter data group corresponding to the key operating parameters, and constructing a data set based on the operating parameter data group and the corresponding features; Input the data set into the corresponding preset neural network model to build an initial model for predicting working fluid consumption; The data set is divided into a training set and a test set according to a preset ratio, and the training set and the test set are input into the initial model for predicting working fluid consumption; The working fluid consumption prediction initial model is trained and tested until the working fluid consumption prediction initial model meets the preset convergence condition, thereby obtaining the working fluid consumption prediction model of the vacuum pump group; The real-time operation data of the vacuum pump group is obtained, and the real-time operation data is input into the working fluid consumption prediction model of the vacuum pump group for prediction output to obtain the working fluid consumption prediction data of the vacuum pump group.

[0007] Furthermore, the stage analysis of the working fluid consumption prediction data is performed to divide the working fluid consumption prediction data into multiple consumption stages, and the consumption characteristics of each consumption stage are determined, including: Constructing a time-progress working fluid consumption change curve based on working fluid consumption prediction data, and determining multiple peak points and valley points in the working fluid consumption change curve; The working fluid consumption change curve is divided into multiple curve segments according to the peak points and valley points, and the time span corresponding to the multiple curve segments is determined as the consumption stage; Determine the curve segment corresponding to each consumption stage, and determine the average slope value and variation amplitude of the curve segment, and determine the average slope value and variation amplitude of the curve segment as the consumption characteristics of each consumption stage.

[0008] Furthermore, the consumption of the working fluid is evaluated based on the consumption characteristics of each consumption stage to obtain the consumption evaluation value of each consumption stage, including: Determine the average slope value and change amplitude of each consumption stage, and determine the pre-set standard slope value and standard change amplitude; Calculate the difference between the average slope value and the standard slope value, as well as the difference between the change amplitude and the standard change amplitude in each consumption stage, and evaluate these two differences to obtain the slope difference evaluation value and the change amplitude difference evaluation value of each consumption stage; Calculation is performed based on the slope difference evaluation value and the change amplitude difference evaluation value to obtain the initial consumption evaluation value of each consumption stage, and the initial consumption evaluation value of each consumption stage is processed to obtain the consumption evaluation value of each consumption stage.

[0009] Furthermore, the calculation formula for the initial consumption evaluation value of each consumption stage is: Li=k*(T+F), Among them, Li is the initial consumption evaluation value of the i-th consumption stage, T is the slope difference evaluation value of the i-th consumption stage, F is the change amplitude difference evaluation value of the i-th consumption stage, and k is the preset conversion coefficient.

[0010] Furthermore, the processing of the initial consumption evaluation value of each consumption stage to obtain the consumption evaluation value of each consumption stage includes: The average value of the initial consumption evaluation values of all consumption stages is calculated, and the initial consumption evaluation value of each consumption stage is compared with the average value of the initial consumption evaluation values of all consumption stages to obtain the consumption evaluation value of each consumption stage.

[0011] Furthermore, determining the water replenishment adjustment coefficient based on the consumption evaluation value includes: A corresponding relationship between the water replenishment adjustment coefficient and the consumption assessment value interval is preset. For each consumption assessment value interval, a corresponding water replenishment adjustment coefficient is associated with the corresponding water replenishment adjustment coefficient. Obtain the consumption assessment value of each consumption stage, and based on the mapping relationship between the consumption assessment value interval to which the consumption assessment value belongs and the water replenishment adjustment coefficient-consumption assessment value interval correspondence, select the water replenishment adjustment coefficient corresponding to the consumption assessment value interval and determine it as the water replenishment adjustment coefficient for each consumption stage.

[0012] Furthermore, the water replenishment condition of the working fluid tank in each consumption stage is adjusted according to each water replenishment adjustment coefficient, and the working fluid tank is controlled to automatically replenish water according to the adjusted water replenishment condition, including: Obtain the pre-set standard water replenishment conditions and the water replenishment adjustment coefficients for each consumption stage. The standard water replenishment conditions include the standard water replenishment volume and the standard water replenishment frequency. The water replenishment adjustment coefficients for each consumption stage are multiplied by the standard water replenishment volume and the standard water replenishment frequency to obtain the actual water replenishment conditions for each consumption stage. The actual water replenishment conditions of each consumption stage are organized into an actual water replenishment sequence in chronological order, and the working fluid tank is controlled to automatically replenish water according to the actual water replenishment sequence.

[0013] The present invention also provides a vacuum pump group working fluid water tank automatic water replenishment control system, comprising: An acquisition module is used to obtain historical operating data of the vacuum pump group, analyze the historical operating data, and determine key operating parameters that affect the consumption of the working fluid; The prediction module is used to extract the characteristics of key operating parameters and build a working fluid consumption prediction model for the vacuum pump group based on the characteristics and a preset neural network model to obtain working fluid consumption prediction data; An analysis module is used to perform stage analysis on the working fluid consumption prediction data, divide the working fluid consumption prediction data into multiple consumption stages, and determine the consumption characteristics of each consumption stage; An evaluation module is used to evaluate the consumption of the working fluid based on the consumption characteristics of each consumption stage, obtain a consumption evaluation value for each consumption stage, and determine a water replenishment adjustment coefficient based on the consumption evaluation value; The adjustment module is used to adjust the water replenishment conditions of the working fluid tank in each consumption stage according to each water replenishment adjustment coefficient, and control the working fluid tank to automatically replenish water according to the adjusted water replenishment conditions.

[0014] Compared with the prior art, the automatic water replenishment control method and system for the working fluid tank of a vacuum pump assembly according to the embodiment of the present invention has the following beneficial effects: The present invention obtains working fluid consumption prediction data through prediction, analyzes and controls the working fluid consumption, and adjusts the water replenishment amount by reasonably setting the water replenishment adjustment coefficient, thereby improving the performance of the vacuum pump group, reducing energy consumption, and extending the life of the equipment, thereby improving production efficiency and saving costs, and ensuring the stable operation of the vacuum pump group. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 1 is a schematic diagram of the process structure of the automatic water replenishment control method of the working fluid tank of the vacuum pump group in an embodiment of the present invention; Figure 2 It is a schematic diagram of the composition of the automatic water replenishment control system of the working fluid tank of the vacuum pump group in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0017] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on this application.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0019] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they can refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Persons of ordinary skill in the art will understand the specific meanings of the above terms in this application based on specific circumstances.

[0020] like Figure 1 As shown, in an embodiment of the present application, a method for automatically replenishing the working fluid tank of a vacuum pump group is provided, including: S100: obtaining historical operating data of the vacuum pump group, and analyzing the historical operating data to determine key operating parameters that affect the working fluid consumption; S200: extracting the characteristics of the key operating parameters, and constructing a working fluid consumption prediction model of the vacuum pump group based on the characteristics and a preset neural network model to perform predictions, and obtain working fluid consumption prediction data; S300: performing stage analysis on the working fluid consumption prediction data, dividing the working fluid consumption prediction data into multiple consumption stages, and determining the consumption characteristics of each consumption stage; S400: evaluating the consumption of the working fluid based on the consumption characteristics of each consumption stage, obtaining a consumption evaluation value for each consumption stage, and determining a replenishment adjustment coefficient based on the consumption evaluation value; S500: adjusting the replenishment conditions of the working fluid tank in each consumption stage according to each replenishment adjustment coefficient, and controlling the working fluid tank to automatically replenish water according to the adjusted replenishment conditions.

[0021] Furthermore, the present invention obtains working fluid consumption prediction data through prediction, analyzes and regulates the working fluid consumption situation, and adjusts the water replenishment amount by reasonably setting the water replenishment adjustment coefficient, thereby improving the performance of the vacuum pump group, reducing energy consumption, and extending the life of the equipment, thereby improving production efficiency and saving costs, and ensuring that the vacuum pump group maintains stable operation.

[0022] In an embodiment of the present application, a method for automatically replenishing the working fluid tank of a vacuum pump group is provided, wherein historical operating data of the vacuum pump group is obtained, and the historical operating data is analyzed to determine key operating parameters that affect the working fluid consumption, including: obtaining historical operating data of the vacuum pump group, and preprocessing the historical operating data, the preprocessing including removing constants, noise, filling missing values, and standardizing data; dividing the preprocessed historical operating data into multiple operating parameter data groups according to parameter type, and determining the historical working fluid consumption data of the vacuum pump group; calculating the correlation between each operating parameter data group and the historical working fluid consumption data, and determining the parameters corresponding to the operating parameter data group whose correlation is greater than a preset threshold as the key operating parameters that affect the working fluid consumption of the vacuum pump group.

[0023] Specifically, historical operating data, including time series data of various operating parameters and records of working fluid consumption, are obtained through the monitoring system or data record of the vacuum pump group; the historical operating data are preprocessed, including removing constants, removing noise, filling missing values, and standardizing data to ensure data quality and availability; the preprocessed historical operating data are divided into multiple operating parameter data groups according to parameter type, and working fluid consumption data are extracted from the historical operating data and analyzed as target variables; the correlation between each operating parameter data group and the working fluid consumption data is calculated through statistical methods or machine learning algorithms to measure the degree of correlation between them; a preset threshold is set, and the parameters corresponding to the operating parameter data groups with a correlation greater than the threshold are determined as key operating parameters affecting the working fluid consumption of the vacuum pump group. This step achieves an in-depth understanding of the operating status of the vacuum pump group through the preprocessing and analysis of historical operating data, discovers the patterns and associations hidden behind the data, accurately determines the key operating parameters affecting working fluid consumption, and based on the results of data analysis, implements targeted adjustments and optimizations to improve the accuracy and reliability of working fluid consumption prediction.

[0024] In an embodiment of the present application, a method for automatically replenishing the working fluid tank of a vacuum pump group is provided, which extracts the characteristics of key operating parameters, and constructs a working fluid consumption prediction model of the vacuum pump group based on the characteristics and a preset neural network model to perform predictions to obtain working fluid consumption prediction data, including: extracting the characteristics of the operating parameter data group corresponding to the key operating parameters, and constructing a data set based on the operating parameter data group and the corresponding characteristics; inputting the data set into the corresponding preset neural network model to construct an initial model for working fluid consumption prediction; dividing the data set into a training set and a test set according to a preset ratio, and inputting the training set and the test set into the initial model for working fluid consumption prediction; training and testing the initial model for working fluid consumption prediction until the initial model for working fluid consumption prediction meets the preset convergence conditions to obtain the working fluid consumption prediction model of the vacuum pump group; acquiring real-time operating data of the vacuum pump group, and inputting the real-time operating data into the working fluid consumption prediction model of the vacuum pump group for prediction output to obtain working fluid consumption prediction data of the vacuum pump group.

[0025] Specifically, features are extracted from the operating parameter data group corresponding to the key operating parameters. These features are statistics, time series features, frequency domain features, etc. of various parameters, which are used to describe the characteristics of the operating parameter data group; a data set is constructed based on the features and the corresponding operating parameter data group, and each sample contains the features and the corresponding working fluid consumption as a label; a corresponding neural network model is constructed according to the data set for the prediction of working fluid consumption; the data set is divided into a training set and a test set according to a preset ratio for model training and evaluation; the training set is input into the initial model for working fluid consumption prediction for training, and the model parameters are optimized until the preset convergence conditions are met; the initial model for working fluid consumption prediction is tested using the test set to evaluate the performance and accuracy of the model; the model is adjusted and optimized based on the evaluation results to improve the prediction accuracy and generalization ability; the real-time operating data of the vacuum pump group is obtained, and it is input into the working fluid consumption prediction model for prediction output to obtain real-time working fluid consumption prediction data. This step predicts the working fluid consumption through a neural network model, improving the accuracy and precision of the prediction and helping to achieve refined management and control of working fluid consumption; inputting real-time operating data into the prediction model can achieve real-time monitoring and prediction of working fluid consumption, and timely monitor the consumption of working fluid; the application of the prediction model realizes the automated prediction and management of the working fluid consumption of the vacuum pump group, reduces human intervention, and improves the automation level and operating efficiency of the system.

[0026] In an embodiment of the present application, a method for automatically replenishing the working fluid tank of a vacuum pump group is provided, wherein the working fluid consumption prediction data is subjected to stage analysis, the working fluid consumption prediction data is divided into multiple consumption stages, and the consumption characteristics of each consumption stage are determined, including: constructing a working fluid consumption change curve with a time schedule based on the working fluid consumption prediction data, and determining multiple peak points and valley points in the working fluid consumption change curve; dividing the working fluid consumption change curve into multiple curve segments according to the peak points and valley points, and determining the time span corresponding to the multiple curve segments as the consumption stage; determining the curve segment corresponding to each consumption stage, and determining the average slope value and change amplitude of the curve segment, and determining the average slope value and change amplitude of the curve segment as the consumption characteristics of each consumption stage.

[0027] Specifically, using the working fluid consumption prediction data, a curve of working fluid consumption changing over time is drawn to reflect the dynamic changes in working fluid consumption; by identifying the peaks and valleys of the working fluid consumption change curve, multiple peak points and valley points in the curve are determined to represent the extreme values of the consumption curve; according to the peak points and valley points, the working fluid consumption change curve is divided into multiple curve segments, each curve segment represents a consumption stage, that is, the time period from one valley point to the next peak point, or the time period from one peak point to the next valley point; for each curve segment, its average slope value and change amplitude are calculated, which respectively represent the average change rate and change amplitude of the consumption curve in this stage; the average slope value and change amplitude of the curve segment corresponding to each consumption stage are determined as the consumption characteristics of that stage, which are used to describe the changing law of working fluid consumption in that stage. This step divides the working fluid consumption change curve into multiple consumption stages by identifying peak points and valley points, making the analysis of consumption characteristics more targeted and accurate; by calculating the average slope value and change amplitude, the consumption characteristics of each consumption stage are extracted, which can more comprehensively describe the changes in working fluid consumption; by determining the consumption characteristics, the changing trend of working fluid consumption in each consumption stage can be analyzed more deeply, providing an important reference for system optimization and management; based on the analysis results of consumption characteristics, personalized management and adjustment of different consumption stages can be achieved, thereby improving the efficiency and performance of the system.

[0028] In an embodiment of the present application, a method for automatically replenishing the working fluid tank of a vacuum pump group is provided, wherein the consumption of the working fluid is evaluated based on the consumption characteristics of each consumption stage to obtain a consumption evaluation value of each consumption stage, including: determining the average slope value and change amplitude of each consumption stage, and determining a pre-set standard slope value and standard change amplitude; respectively calculating the difference between the average slope value and the standard slope value and the change amplitude and the standard change amplitude of each consumption stage, and evaluating and taking values of these two differences respectively to obtain a slope difference evaluation value and a change amplitude difference evaluation value of each consumption stage; calculating based on the slope difference evaluation value and the change amplitude difference evaluation value to obtain an initial consumption evaluation value of each consumption stage, and processing the initial consumption evaluation value of each consumption stage to obtain a consumption evaluation value of each consumption stage.

[0029] Specifically, standard values for slope and amplitude of change are determined as reference standards for evaluating the consumption of each consumption stage. The difference between the average slope value of each consumption stage and the standard slope value, as well as the difference between the amplitude of change and the standard amplitude of change, is calculated. These two differences are evaluated and taken to reflect the differences in slope and amplitude of change in the consumption stage. Based on the slope difference evaluation value and the amplitude of change difference evaluation value, the initial consumption evaluation value of each consumption stage is calculated, taking into account the differences in slope and amplitude of change. The initial consumption evaluation value of each consumption stage is processed to obtain the final consumption evaluation value, which is used to characterize the consumption of each stage. This step can more accurately evaluate the consumption of each consumption stage by calculating the slope difference and the amplitude of change difference, thereby improving the accuracy and reliability of the evaluation. The calculation and processing of the consumption evaluation value can better analyze the consumption trend of each consumption stage, providing an important reference for system optimization and adjustment. Based on the results of the consumption evaluation value, automated decision-making and adjustment can be achieved for each consumption stage, improving the intelligence level and autonomous operation capability of the system.

[0030] In an embodiment of the present application, a method for automatically replenishing the working fluid tank of a vacuum pump group is provided. The calculation formula for the initial consumption evaluation value of each consumption stage is: Li=k*(T+F), Among them, Li is the initial consumption evaluation value of the i-th consumption stage, T is the slope difference evaluation value of the i-th consumption stage, F is the change amplitude difference evaluation value of the i-th consumption stage, and k is the preset conversion coefficient.

[0031] In an embodiment of the present application, a method for automatic water replenishment control of a working fluid tank of a vacuum pump group is provided, wherein the initial consumption assessment value of each consumption stage is processed to obtain the consumption assessment value of each consumption stage, including: calculating the average value of the initial consumption assessment values of all consumption stages, and comparing the initial consumption assessment value of each consumption stage with the average value of the initial consumption assessment values of all consumption stages to obtain the consumption assessment value of each consumption stage.

[0032] Specifically, the initial consumption assessment value of each consumption stage is calculated to obtain the consumption assessment value of each consumption stage, which represents the consumption situation in that stage; the initial consumption assessment values of all consumption stages are averaged to obtain the average value of the initial consumption assessment values of all consumption stages; the consumption assessment value of each consumption stage is compared with the average value of the initial consumption assessment values of all consumption stages to obtain the ratio of each consumption stage to the overall average level; based on the calculation results of the ratios, the final consumption assessment value of each consumption stage is obtained to represent the consumption situation of that stage relative to the overall average level. This step, by comparing the consumption assessment value of each consumption stage with the overall average, can provide a clearer understanding of the consumption situation of each stage relative to the overall level.

[0033] In an embodiment of the present application, a method for automatic water replenishment control of a working fluid tank of a vacuum pump group is provided, wherein the water replenishment adjustment coefficient is determined based on the consumption evaluation value, including: pre-setting a water replenishment adjustment coefficient-consumption evaluation value interval correspondence relationship, and the water replenishment adjustment coefficient-consumption evaluation value interval correspondence relationship is associated with a corresponding water replenishment adjustment coefficient for each consumption evaluation value interval; obtaining the consumption evaluation value of each consumption stage, and based on the mapping relationship between the consumption evaluation value interval to which the consumption evaluation value belongs within the water replenishment adjustment coefficient-consumption evaluation value interval correspondence relationship, selecting the water replenishment adjustment coefficient corresponding to the consumption evaluation value interval and determining it as the water replenishment adjustment coefficient for each consumption stage.

[0034] Specifically, the correspondence between the water replenishment adjustment coefficient and the consumption assessment value interval is determined, and for each consumption stage, the corresponding consumption assessment value is obtained to represent the consumption situation of the stage; according to the consumption assessment value interval to which the consumption assessment value belongs, the corresponding mapping relationship is found in the water replenishment adjustment coefficient-consumption assessment value interval correspondence; according to the water replenishment adjustment coefficient corresponding to the consumption assessment value interval, the coefficient is selected as the water replenishment adjustment coefficient for the consumption stage. This step realizes real-time adjustment of each stage according to the actual consumption situation by mapping the consumption assessment value to the corresponding water replenishment adjustment coefficient, which helps to optimize the operation of the system; associating the consumption assessment value with the water replenishment adjustment coefficient realizes refined management of consumption adjustment and can more accurately control the operation status of the system; by automatically selecting the water replenishment adjustment coefficient corresponding to the consumption assessment value interval, it can realize automated decision-making and adjustment, improve the intelligence level and autonomous operation capability of the system; adjusting the water replenishment according to the actual consumption situation helps to keep the system running in a stable state and improve the stability and reliability of the system.

[0035] In an embodiment of the present application, a method for automatically replenishing the working fluid tank of a vacuum pump group is provided, wherein the replenishing conditions of the working fluid tank in each consumption stage are adjusted according to each replenishing adjustment coefficient, and the working fluid tank is controlled to automatically replenish water according to the adjusted replenishing conditions, including: obtaining pre-set standard replenishing conditions and the replenishing adjustment coefficients of each consumption stage, the standard replenishing conditions including a standard replenishing amount and a standard replenishing frequency, and multiplying the replenishing adjustment coefficients of each consumption stage by the standard replenishing amount and the standard replenishing frequency, respectively, to obtain the actual replenishing conditions of each consumption stage; organizing the actual replenishing conditions of each consumption stage into an actual replenishing sequence in chronological order, and controlling the working fluid tank to automatically replenish water according to the actual replenishing sequence.

[0036] Specifically, obtain standard water replenishment conditions and water replenishment adjustment coefficients, where the standard water replenishment conditions include standard water replenishment volume and standard water replenishment frequency; for each consumption stage, pre-set coefficients for adjusting the water replenishment volume and frequency; multiply the water replenishment adjustment coefficient of each consumption stage by the standard water replenishment volume to obtain the actual water replenishment volume of each consumption stage, and multiply the water replenishment adjustment coefficient of each consumption stage by the standard water replenishment frequency to obtain the actual water replenishment frequency of each consumption stage; in chronological order, the actual water replenishment volume and frequency of each consumption stage are combined into an actual water replenishment sequence, representing the change of water replenishment demand in each stage over time; according to the set value of the actual water replenishment sequence, control the working fluid tank to automatically replenish water, and ensure that the system can operate normally under the actual water replenishment conditions of each stage. This step calculates the water replenishment amount and frequency based on the actual needs of each consumption stage, achieving precise control of the system's water replenishment and avoiding excessive or insufficient water replenishment; dynamically adjusts the water replenishment amount and frequency according to actual conditions to ensure that the system can receive appropriate water replenishment support at different stages, thereby improving the system's stability and efficiency; controls the working fluid tank to automatically replenish water through the actual water replenishment sequence, realizing the automated operation of the system and reducing manual intervention and management costs; and adjusting according to actual water replenishment conditions helps optimize the system's operating performance and improve the system's work efficiency and sustained stability.

[0037] like Figure 2 As shown, in an embodiment of the present application, an automatic water replenishment control system for the working fluid tank of a vacuum pump group is provided, including: an acquisition module for acquiring historical operating data of the vacuum pump group, and analyzing the historical operating data to determine key operating parameters that affect the working fluid consumption; a prediction module for extracting characteristics of the key operating parameters, and constructing a working fluid consumption prediction model of the vacuum pump group based on the characteristics and a preset neural network model to perform predictions and obtain working fluid consumption prediction data; an analysis module for performing stage analysis on the working fluid consumption prediction data, dividing the working fluid consumption prediction data into multiple consumption stages, and determining the consumption characteristics of each consumption stage; an evaluation module for evaluating the consumption of the working fluid based on the consumption characteristics of each consumption stage, obtaining a consumption evaluation value for each consumption stage, and determining a water replenishment adjustment coefficient based on the consumption evaluation value; an adjustment module for adjusting the water replenishment conditions of the working fluid tank in each consumption stage according to each water replenishment adjustment coefficient, and controlling the working fluid tank to automatically replenish water according to the adjusted water replenishment conditions.

[0038] In summary, an embodiment of the present invention provides a method and system for automatically replenishing water in a working fluid tank of a vacuum pump group, which includes: acquiring and analyzing historical operating data of the vacuum pump group to determine key operating parameters that affect working fluid consumption; extracting characteristics of the key operating parameters, and constructing a prediction model based on the characteristics and a preset model to make predictions, thereby obtaining working fluid consumption prediction data; dividing the working fluid consumption prediction data into multiple consumption stages, and determining its consumption characteristics; evaluating the consumption of the working fluid based on the consumption characteristics to obtain consumption evaluation values for each consumption stage, and determining a water replenishment adjustment coefficient based thereon; adjusting the water replenishment conditions according to the water replenishment adjustment coefficient to control automatic water replenishment. The present invention accurately predicts the consumption of the working fluid, and determines a reasonable water replenishment adjustment coefficient by analyzing the data to adjust the water replenishment amount, thereby improving the operating efficiency of the vacuum pump group, reducing manual intervention and operating costs, and ensuring that the vacuum pump group maintains stable operation.

[0039] Finally, it should be noted that it is apparent that various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the present invention. Thus, the present invention is intended to include such modifications and variations as long as they fall within the scope of the present invention and its equivalents.

[0040] The above description is only an example of an embodiment of the present invention, but it does not limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be considered to fall within the scope of protection of the present invention and be subject to restrictions. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0041] The term "comprise," "comprising," or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0042] Thus far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to closely related technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0043] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A method for automatically replenishing the working fluid tank of a vacuum pump group, characterized in that: include: Obtain historical operating data of the vacuum pump group and analyze the historical operating data to determine the key operating parameters that affect the working fluid consumption; Extract the characteristics of key operating parameters, and build a working fluid consumption prediction model for the vacuum pump group based on the characteristics and the preset neural network model to obtain working fluid consumption prediction data; Perform stage analysis on the working fluid consumption forecast data, divide the working fluid consumption forecast data into multiple consumption stages, and determine the consumption characteristics of each consumption stage; Evaluate the consumption of the working fluid based on the consumption characteristics of each consumption stage, obtain the consumption evaluation value of each consumption stage, and determine the water replenishment adjustment coefficient based on the consumption evaluation value; The water replenishment conditions of the working fluid water tank in each consumption stage are adjusted according to each water replenishment adjustment coefficient, and the working fluid water tank is controlled to automatically replenish water according to the adjusted water replenishment conditions.

2. A method for automatically replenishing the working fluid tank of a vacuum pump unit according to claim 1, characterized in that: The historical operating data of the vacuum pump group is obtained and analyzed to determine the key operating parameters that affect the consumption of the working fluid, including: Obtain historical operating data of the vacuum pump group and preprocess the historical operating data, including removing constant values, noise, filling missing values, and standardizing the data; Dividing the pre-processed historical operating data into multiple operating parameter data groups according to parameter types, and determining historical working fluid consumption data of the vacuum pump group; The correlation between each operating parameter data group and the historical working fluid consumption data is calculated, and the parameters corresponding to the operating parameter data groups with correlations greater than a preset threshold are determined as key operating parameters affecting the working fluid consumption of the vacuum pump group.

3. A method for automatically replenishing the working fluid tank of a vacuum pump unit according to claim 2, characterized in that: The features of the key operating parameters are extracted, and a working fluid consumption prediction model of the vacuum pump group is constructed based on the features and a preset neural network model to perform prediction, thereby obtaining working fluid consumption prediction data, including: Extracting features of the operating parameter data group corresponding to the key operating parameters, and constructing a data set based on the operating parameter data group and the corresponding features; Input the data set into the corresponding preset neural network model to build an initial model for predicting working fluid consumption; The data set is divided into a training set and a test set according to a preset ratio, and the training set and the test set are input into the initial model for predicting working fluid consumption; The working fluid consumption prediction initial model is trained and tested until the working fluid consumption prediction initial model meets the preset convergence condition, thereby obtaining the working fluid consumption prediction model of the vacuum pump group; The real-time operation data of the vacuum pump group is obtained, and the real-time operation data is input into the working fluid consumption prediction model of the vacuum pump group for prediction output to obtain the working fluid consumption prediction data of the vacuum pump group.

4. A method for automatically replenishing the working fluid tank of a vacuum pump unit according to claim 3, characterized in that: The stage analysis of the working fluid consumption prediction data is performed to divide the working fluid consumption prediction data into multiple consumption stages, and the consumption characteristics of each consumption stage are determined, including: Constructing a time-progress working fluid consumption change curve based on working fluid consumption prediction data, and determining multiple peak points and valley points in the working fluid consumption change curve; The working fluid consumption change curve is divided into multiple curve segments according to the peak points and valley points, and the time span corresponding to the multiple curve segments is determined as the consumption stage; Determine the curve segment corresponding to each consumption stage, and determine the average slope value and variation amplitude of the curve segment, and determine the average slope value and variation amplitude of the curve segment as the consumption characteristics of each consumption stage.

5. A method for automatically replenishing the working fluid tank of a vacuum pump unit according to claim 4, characterized in that: The consumption of the working fluid is evaluated based on the consumption characteristics of each consumption stage to obtain the consumption evaluation value of each consumption stage, including: Determine the average slope value and change amplitude of each consumption stage, and determine the pre-set standard slope value and standard change amplitude; Calculate the difference between the average slope value and the standard slope value, as well as the difference between the change amplitude and the standard change amplitude in each consumption stage, and evaluate these two differences to obtain the slope difference evaluation value and the change amplitude difference evaluation value of each consumption stage; Calculation is performed based on the slope difference evaluation value and the change amplitude difference evaluation value to obtain the initial consumption evaluation value of each consumption stage, and the initial consumption evaluation value of each consumption stage is processed to obtain the consumption evaluation value of each consumption stage.

6. A method for automatically replenishing the working fluid tank of a vacuum pump unit according to claim 5, characterized in that: The calculation formula for the initial consumption evaluation value of each consumption stage is: Li=k*(T+F), Among them, Li is the initial consumption evaluation value of the i-th consumption stage, T is the slope difference evaluation value of the i-th consumption stage, F is the change amplitude difference evaluation value of the i-th consumption stage, and k is the preset conversion coefficient.

7. A method for automatically replenishing the working fluid tank of a vacuum pump unit according to claim 6, characterized in that: The processing of the initial consumption evaluation value of each consumption stage to obtain the consumption evaluation value of each consumption stage includes: The average value of the initial consumption evaluation values of all consumption stages is calculated, and the initial consumption evaluation value of each consumption stage is compared with the average value of the initial consumption evaluation values of all consumption stages to obtain the consumption evaluation value of each consumption stage.

8. The method for automatically replenishing the working fluid tank of a vacuum pump assembly according to claim 5, characterized in that: Determining the water replenishment adjustment coefficient based on the consumption evaluation value includes: A corresponding relationship between the water replenishment adjustment coefficient and the consumption assessment value interval is preset. For each consumption assessment value interval, a corresponding water replenishment adjustment coefficient is associated with the corresponding water replenishment adjustment coefficient. Obtain the consumption assessment value of each consumption stage, and based on the mapping relationship between the consumption assessment value interval to which the consumption assessment value belongs and the water replenishment adjustment coefficient-consumption assessment value interval correspondence, select the water replenishment adjustment coefficient corresponding to the consumption assessment value interval and determine it as the water replenishment adjustment coefficient for each consumption stage.

9. A method for automatically replenishing the working fluid tank of a vacuum pump assembly according to claim 8, characterized in that: The method of adjusting the water replenishment conditions of the working fluid tank in each consumption stage according to each water replenishment adjustment coefficient, and controlling the working fluid tank to automatically replenish water according to the adjusted water replenishment conditions, includes: Obtain the pre-set standard water replenishment conditions and the water replenishment adjustment coefficients for each consumption stage. The standard water replenishment conditions include the standard water replenishment volume and the standard water replenishment frequency. The water replenishment adjustment coefficients for each consumption stage are multiplied by the standard water replenishment volume and the standard water replenishment frequency to obtain the actual water replenishment conditions for each consumption stage. The actual water replenishment conditions of each consumption stage are organized into an actual water replenishment sequence in chronological order, and the working fluid tank is controlled to automatically replenish water according to the actual water replenishment sequence.

10. An automatic water replenishment control system for a working fluid tank of a vacuum pump group, characterized in that: include: An acquisition module is used to obtain historical operating data of the vacuum pump group, analyze the historical operating data, and determine key operating parameters that affect the consumption of the working fluid; The prediction module is used to extract the characteristics of key operating parameters and build a working fluid consumption prediction model for the vacuum pump group based on the characteristics and a preset neural network model to obtain working fluid consumption prediction data; An analysis module is used to perform stage analysis on the working fluid consumption prediction data, divide the working fluid consumption prediction data into multiple consumption stages, and determine the consumption characteristics of each consumption stage; An evaluation module is used to evaluate the consumption of the working fluid based on the consumption characteristics of each consumption stage, obtain a consumption evaluation value for each consumption stage, and determine a water replenishment adjustment coefficient based on the consumption evaluation value; The adjustment module is used to adjust the water replenishment conditions of the working fluid tank in each consumption stage according to each water replenishment adjustment coefficient, and control the working fluid tank to automatically replenish water according to the adjusted water replenishment conditions.

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