A vacuum pump system control method, device and electronic equipment

Abstract

The present invention provides a vacuum pump system control method, comprising: upon receiving a main vacuum pump start-up instruction, obtaining first environmental monitoring data of a first area and second environmental monitoring data of a second area, as well as obtaining upstream equipment working parameters and downstream equipment working parameters of the main vacuum pump, wherein the second area is larger than the first area; determining target environmental data according to the first environmental monitoring data and the second environmental monitoring data; determining start-up control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environmental data, the upstream equipment working parameters and the downstream equipment working parameters; and controlling the main vacuum pump and / or the auxiliary vacuum pump to start based on the start-up control parameters. The present invention can solve the problems of overheating and jamming of the pump body when the pump body is overloaded at high speed and low speed respectively in the existing control method, and it is difficult to meet the requirements of multi-condition load of the vacuum pump.

Description

Technical Field

[0001] The present invention relates to the technical field of vacuum pumps, and in particular to a vacuum pump system control method, device and electronic equipment. Background Art

[0002] A vacuum pump refers to a device or equipment that uses mechanical, physical, chemical or physicochemical methods to evacuate the container to obtain a vacuum. During operation, the vacuum pump is easily affected by factors such as production process switching and impurity particles mixed into the process gas. The load of the vacuum pump will fluctuate over a large range, and sometimes a large impact load will be generated. The pump body continues to run at a high speed and high load state, causing the pump body to overload and cause overheating of the pump body; at the same time, when the motor runs below the rated speed, the inverter controls the motor in a constant torque mode. When the pump body runs at a low speed, it is easy to cause the pump to get stuck. The existing control method has problems such as overheating and jamming of the pump body when the pump body is overloaded at high and low speeds, respectively, which makes it difficult to meet the requirements of multiple working conditions of the vacuum pump. Summary of the invention

[0003] The embodiment of the present invention provides a vacuum pump system control method, which aims to solve the problems existing in the existing control method, such as the pump body overheating and pump body jamming when the pump body is overloaded at high speed and low speed respectively, and it is difficult to meet the requirements of multi-operating load of the vacuum pump. When receiving the main vacuum pump start-up instruction, the first environmental monitoring data of the first area and the second environmental monitoring data of the second area are obtained, and the upstream equipment working parameters and downstream equipment working parameters of the main vacuum pump are obtained, and the target environmental data are determined according to the first environmental monitoring data and the second environmental monitoring data, and the start-up control parameters of the auxiliary vacuum pump and the main vacuum pump are determined by the target environmental data, the upstream equipment working parameters and the downstream equipment working parameters, and the start-up control parameters are used to control the main vacuum pump and / or the auxiliary vacuum pump to start, which can solve the problems existing in the existing control method, such as the pump body overheating and pump body jamming when the pump body is overloaded at high speed and low speed respectively, and it is difficult to meet the requirements of multi-operating load of the vacuum pump.

[0004] In a first aspect, an embodiment of the present invention provides a vacuum pump system control method, the vacuum pump system control method is used for a host computer of a vacuum pump system, the vacuum pump system comprises a host computer, a main vacuum pump and a secondary vacuum pump, the host computer is electrically connected to the main vacuum pump and the secondary vacuum pump, the main vacuum pump and the secondary vacuum pump are arranged in parallel, and the vacuum pump system control method comprises the following steps:

[0005] When receiving a main vacuum start instruction, obtaining first environmental monitoring data of a first area and second environmental monitoring data of a second area, and obtaining operating parameters of upstream equipment and downstream equipment of the main vacuum pump, wherein the second area is larger than the first area;

[0006] Determining target environmental data according to the first environmental monitoring data and the second environmental monitoring data;

[0007] Determining startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters, and the downstream device operating parameters;

[0008] The main vacuum pump and / or the auxiliary vacuum pump are controlled to start based on the start-up control parameter.

[0009] Optionally, the step of determining target environmental data according to the first environmental monitoring data and the second environmental monitoring data includes:

[0010] After preprocessing the first environment monitoring data and the second environment monitoring data, aligning the first environment monitoring data and the second environment monitoring data in a time dimension to obtain third environment monitoring data and fourth environment monitoring data, wherein the third environment monitoring data corresponds to the first environment monitoring data, and the fourth environment monitoring data corresponds to the second environment monitoring data;

[0011] The target environment data is determined based on the aligned third environment monitoring data and the fourth environment monitoring data.

[0012] Optionally, the step of aligning the first environmental monitoring data and the second environmental monitoring data in a time dimension to obtain third environmental monitoring data and fourth environmental monitoring data includes:

[0013] Acquire a first time period and a first sampling resolution corresponding to the first environmental monitoring data, and a second time period and a second sampling resolution corresponding to the second environmental monitoring data;

[0014] Determine, according to the first time period and the first sampling resolution, a first sampling point distribution of the first environment monitoring data, each first sampling point corresponding to a sampling time and an environment monitoring data value; and

[0015] Determine, according to the second time period and the second sampling resolution, a second sampling point distribution of the second environment monitoring data, each second sampling point corresponding to a sampling time and an environment monitoring data value;

[0016] Based on the first sampling point distribution and the second sampling point distribution, the first environmental monitoring data and the second environmental monitoring data are aligned in a time dimension to obtain third environmental monitoring data and fourth environmental monitoring data.

[0017] Optionally, the step of aligning the first environmental monitoring data and the second environmental monitoring data in a time dimension based on the first sampling point distribution and the second sampling point distribution to obtain third environmental monitoring data and fourth environmental monitoring data includes:

[0018] Determine the first sampling point and the second sampling point at the same sampling time, and determine the first sampling point and the second sampling point at the same sampling time as anchor points;

[0019] Performing a first alignment process on the first sampling point distribution and the second sampling point distribution by using the anchor point to obtain a comprehensive sampling point distribution;

[0020] Determining the minimum sampling point interval between two adjacent sampling points in the comprehensive sampling point distribution;

[0021] Determine the target difference resolution according to the minimum sampling point interval;

[0022] Interpolating the first environment monitoring data and the second environment monitoring data based on the target interpolation resolution to obtain the first environment monitoring data and the second environment monitoring data with the same time resolution;

[0023] The first environmental monitoring data and the second environmental monitoring data with the same time resolution are subjected to a second alignment process in the time dimension to obtain third environmental monitoring data and fourth environmental monitoring data.

[0024] Optionally, the step of determining the target environment data based on the aligned third environment detection data and the fourth environment detection data includes:

[0025] A local weight value and a global weight value, and weighted fusion of the third environment monitoring data and the fourth environment monitoring data based on the local weight value and the global weight value to obtain fused environment monitoring data;

[0026] The environment during the startup period is predicted for the fused environment monitoring data through a trained time series network to obtain the target environment data.

[0027] Optionally, the step of determining the target environmental data based on the aligned third environmental monitoring data and the fourth environmental monitoring data includes:

[0028] Performing first feature extraction processing on the third environment monitoring data through the trained first feature extraction network to obtain local environment features; and

[0029] Performing second feature extraction processing on the fourth environment monitoring data through a trained second feature extraction network to obtain global environment features;

[0030] The local environment features and the global features are classified and regressed through a trained classification and regression network to obtain the target environment data.

[0031] Optionally, the step of determining the startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters, and the downstream device operating parameters includes:

[0032] Inputting the target environment data, the upstream device operating parameters and the downstream device operating parameters into a trained support vector machine for classification processing to obtain a target classification value;

[0033] Based on a mapping relationship table between classification values ​​and startup control parameters, startup control parameters of the auxiliary vacuum pump and the main vacuum pump are determined according to the target classification values.

[0034] In a second aspect, an embodiment of the present invention further provides a vacuum pump system control device, which is used for a host computer of a vacuum pump system, wherein the vacuum pump system comprises a host computer, a main vacuum pump and a secondary vacuum pump, wherein the host computer is connected to the main vacuum pump and the secondary vacuum pump, wherein the main vacuum pump and the secondary vacuum pump are connected in parallel, and wherein the vacuum pump system control device comprises:

[0035] an acquisition module, configured to acquire, upon receiving a main vacuum pump start instruction, first environmental monitoring data of a first area and second environmental monitoring data of a second area, and acquire operating parameters of an upstream device and a downstream device of the main vacuum pump, wherein the second area is larger than the first area;

[0036] A first determining module, configured to determine target environmental data according to the first environmental monitoring data and the second environmental monitoring data;

[0037] A second determination module is used to determine the startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters and the downstream device operating parameters;

[0038] A control module is used to control the main vacuum pump and / or the auxiliary vacuum pump to start based on the start control parameter.

[0039] In a third aspect, an embodiment of the present invention further provides a vacuum pump system control system, wherein the vacuum pump system comprises a host computer, a main vacuum pump and a secondary vacuum pump, wherein the host computer is electrically connected to the main vacuum pump and the secondary vacuum pump, and the main vacuum pump and the secondary vacuum pump are arranged in parallel, and the vacuum pump system control system is used to implement the steps in the vacuum pump system control method provided in the embodiment of the present invention.

[0040] In a third aspect, an embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the vacuum pump system control method provided in the embodiment of the present invention when executing the computer program.

[0041] In an embodiment of the present invention, when a main vacuum pump start-up instruction is received, first environmental monitoring data of a first area and second environmental monitoring data of a second area are obtained, as well as upstream equipment operating parameters and downstream equipment operating parameters of the main vacuum pump, wherein the second area is larger than the first area; target environmental data are determined based on the first environmental monitoring data and the second environmental monitoring data; start-up control parameters of the auxiliary vacuum pump and the main vacuum pump are determined based on the target environmental data, the upstream equipment operating parameters and the downstream equipment operating parameters; and the main vacuum pump and / or the auxiliary vacuum pump are controlled to start based on the start-up control parameters. The present invention can solve the problems in the existing control method, such as overheating of the pump body and jamming of the pump body when the pump body is overloaded at high speed and low speed respectively, and it is difficult to meet the requirements of multi-operating load of the vacuum pump. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 is a flow chart of a vacuum pump system control method provided by an embodiment of the present invention;

[0044] Figure 2 is a structural schematic diagram of a vacuum pump system control device provided by an embodiment of the present invention;

[0045] Figure 3 is a schematic structural diagram of a vacuum pump system control system provided by an embodiment of the present invention;

[0046] Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] like Figure 1 As shown, Figure 1 1 is a flow chart of a vacuum pump system control method provided by an embodiment of the present invention. The vacuum pump system control method comprises the following steps:

[0049] 101. When a main vacuum pump start instruction is received, first environmental monitoring data of a first area and second environmental monitoring data of a second area are obtained, as well as operating parameters of an upstream device and a downstream device of the main vacuum pump.

[0050] In an embodiment of the present invention, the vacuum pump system includes a host computer, a main vacuum pump and a secondary vacuum pump. The host computer is electrically connected to the main vacuum pump and the secondary vacuum pump. The main vacuum pump and the secondary vacuum pump are arranged in parallel. The above-mentioned vacuum pump system control method is applied to the host computer.

[0051] The first area and the second area can be understood as different areas of the vacuum pump. The first area can be a local area of ​​the vacuum pump, such as the air inlet area, the exhaust area, etc.; the second area can be the global area of ​​the vacuum pump, or it can be an area that includes the first area or is related to the first area. The second area is larger than the first area.

[0052] The above environmental monitoring data is data obtained by monitoring real-time environmental parameters of different areas in the vacuum pump system.

[0053] The above upstream equipment working parameters can be understood as the working conditions of the upstream equipment, such as the working pressure, flow rate and other parameters of the upstream equipment. The above downstream equipment working parameters can be understood as the working conditions of the downstream equipment, such as the working pressure, flow rate and other parameters required by the downstream equipment.

[0054] It should be noted that, when receiving the main vacuum pump start-up instruction, the host computer needs to obtain the environmental monitoring data of the first area and the second area, as well as the upstream equipment working parameters and the downstream equipment working parameters of the main vacuum pump.

[0055] 102. Determine target environmental data according to the first environmental monitoring data and the second environmental monitoring data.

[0056] In the embodiment of the present invention, the target environment data may be determined according to the first environment monitoring data and the second environment monitoring data.

[0057] After preprocessing the first environmental monitoring data and the second environmental monitoring data, the first environmental monitoring data and the second environmental monitoring data can be aligned in the time dimension to obtain third environmental monitoring data and fourth environmental monitoring data; and the target environmental data can be determined through the aligned third environmental monitoring data and the fourth environmental monitoring data.

[0058] The third environmental monitoring data corresponds to the first environmental monitoring data, and the fourth environmental monitoring data corresponds to the second environmental monitoring data.

[0059] The above-mentioned preprocessing can be data preprocessing such as filtering, denoising, and normalization. The quality and reliability of the first environmental monitoring data and the second environmental monitoring data can be improved through data preprocessing. The above-mentioned alignment processing can be understood as a process of matching and unifying the first environmental monitoring data and the second environmental monitoring data in the time dimension, so that the time axes of the first environmental monitoring data and the second environmental monitoring data are aligned to the same time point, so that they can be compared and analyzed on the same time scale.

[0060] The above target environmental data can be environmental parameters that need to be achieved at a specific moment, or environmental parameters that need to be achieved within a period of time.

[0061] 103. Based on the target environment data, the operating parameters of the upstream equipment and the operating parameters of the downstream equipment, determine the startup control parameters of the auxiliary vacuum pump and the main vacuum pump.

[0062] In the embodiment of the present invention, the above-mentioned upstream device operating parameters refer to the working conditions of the upstream device of the main vacuum pump, such as parameters such as the working pressure and flow rate of the upstream device.

[0063] The aforementioned downstream equipment operating parameters refer to the operating conditions of the downstream equipment of the main vacuum pump, such as the operating pressure, flow rate and other parameters of the downstream equipment.

[0064] The start-up control parameters of the auxiliary vacuum pump and the main vacuum pump can be determined according to the target environment data, the operating parameters of the upstream equipment and the operating parameters of the downstream equipment.

[0065] The above startup control parameters include startup time, operating frequency, working time and other parameters.

[0066] 104. Control the main vacuum pump and / or the auxiliary vacuum pump to start based on the start control parameters.

[0067] In the embodiment of the present invention, the main vacuum pump can be controlled to start according to the start control parameters, the auxiliary vacuum pump can be controlled to start according to the start control parameters, and both the main vacuum pump and the auxiliary vacuum pump can be controlled to start according to the start control parameters.

[0068] In the vacuum pump system, the host computer is electrically connected to the main vacuum pump and the auxiliary vacuum pump, and the main vacuum pump and the auxiliary vacuum pump are set in parallel. This means that the main vacuum pump and the auxiliary vacuum pump can work simultaneously or independently. More efficient vacuum extraction can be achieved, and the auxiliary vacuum pump can be started when necessary to assist the main vacuum pump in completing the extraction task.

[0069] In an embodiment of the present invention, when a main vacuum pump start-up instruction is received, first environmental monitoring data of a first area and second environmental monitoring data of a second area are obtained, as well as upstream equipment operating parameters and downstream equipment operating parameters of the main vacuum pump, wherein the second area is larger than the first area; target environmental data are determined based on the first environmental monitoring data and the second environmental monitoring data; start-up control parameters of the auxiliary vacuum pump and the main vacuum pump are determined based on the target environmental data, the upstream equipment operating parameters and the downstream equipment operating parameters; and the main vacuum pump and / or the auxiliary vacuum pump are controlled to start based on the start-up control parameters. The present invention can solve the problems in the existing control method, such as overheating of the pump body and jamming of the pump body when the pump body is overloaded at high speed and low speed respectively, and it is difficult to meet the requirements of multi-operating load of the vacuum pump.

[0070] Optionally, in the step of determining the target environmental data based on the first environmental monitoring data and the second environmental monitoring data, the first environmental monitoring data and the second environmental monitoring data can be pre-processed, and then the first environmental monitoring data and the second environmental monitoring data can be aligned in the time dimension to obtain third environmental monitoring data and fourth environmental monitoring data, the third environmental monitoring data corresponding to the first environmental monitoring data, and the fourth environmental monitoring data corresponding to the second environmental monitoring data; based on the aligned third environmental monitoring data and the fourth environmental monitoring data, the target environmental data is determined.

[0071] In the embodiment of the present invention, the first environmental monitoring data is environmental monitoring data of a first area, and the first area may be a local area of ​​the vacuum pump, such as an air inlet area, an exhaust port area, and the like.

[0072] The second environmental monitoring data is environmental monitoring data of a second area, and the second area may be a global area of ​​the vacuum pump, or may be an area including the first area or related to the first area. The second area is larger than the first area.

[0073] The above preprocessing may be data preprocessing such as filtering, denoising, normalization, etc. The quality and reliability of the first environment monitoring data and the second environment monitoring data may be improved through data preprocessing.

[0074] The above alignment processing can be understood as the process of matching and unifying the preprocessed first environmental monitoring data and the preprocessed second environmental monitoring data in the time dimension, so that the time axes of the first environmental monitoring data and the second environmental monitoring data are aligned to the same time point, so that they can be compared and analyzed on the same time scale.

[0075] The above target environmental data can be environmental parameters that need to be achieved at a specific moment, or environmental parameters that need to be achieved within a period of time.

[0076] It should be noted that by aligning the preprocessed first environmental monitoring data and the preprocessed second environmental monitoring data in the time dimension, errors in environmental monitoring data at different time points can be eliminated and the accuracy of data analysis can be improved.

[0077] Optionally, in the step of aligning the first environmental monitoring data and the second environmental monitoring data in the time dimension to obtain the third environmental monitoring data and the fourth environmental monitoring data, the first time period and the first sampling resolution corresponding to the first environmental monitoring data, as well as the second time period and the second sampling resolution corresponding to the second environmental monitoring data can be obtained; according to the first time period and the first sampling resolution, the first sampling point distribution of the first environmental monitoring data is determined, and each first sampling point corresponds to a sampling moment and an environmental monitoring data value; and according to the second time period and the second sampling resolution, the second sampling point distribution of the second environmental monitoring data is determined, and each second sampling point corresponds to a sampling moment and an environmental monitoring data value; based on the first sampling point distribution and the second sampling point distribution, the first environmental monitoring data and the second environmental monitoring data are aligned in the time dimension to obtain the third environmental monitoring data and the fourth environmental monitoring data.

[0078] In the embodiment of the present invention, the above sampling resolution can be understood as the number of data points collected per second or per minute during the data collection process, and the sampling resolution indicates the frequency of data collection. For example, if the first environmental monitoring data collects one data point per second, then the first sampling resolution is 1 second / point; if one data point is collected per minute, then the first sampling resolution is 60 seconds / point.

[0079] The above sampling point distribution can be understood as the number of sampling points contained in each signal cycle during the data acquisition process. For example, if only one point is sampled in a signal cycle, then the sampling point distribution is 1 / signal cycle; if 10 points are sampled in a signal cycle, then the sampling point distribution is 10 / signal cycle.

[0080] The first time period can be understood as the time range for measuring the first environmental monitoring data, such as 1 day, 1 week, 1 month, etc. The first sampling resolution can be understood as how often the environmental monitoring data is measured within the first time range. For example, if the first sampling resolution is once per hour, then when the first time period is one day, there are 24 sampling points, each of which corresponds to a sampling time (such as 0 o'clock, 1 o'clock, 2 o'clock...23 o'clock) and an environmental monitoring data value.

[0081] The second time period can be understood as the time range for measuring the second environmental monitoring data, such as 1 day, 1 week, 1 month, etc. The second sampling resolution can be understood as the interval for measuring the environmental monitoring data within the second time range.

[0082] The above alignment process can be understood as a process of matching and unifying the first environmental monitoring data and the second environmental monitoring data in the time dimension, so that the time axes of the first environmental monitoring data and the second environmental monitoring data are aligned to the same time point, so that they can be compared and analyzed on the same time scale.

[0083] It should be noted that the third environmental monitoring data corresponds to the first environmental monitoring data, and the fourth environmental monitoring data corresponds to the second environmental monitoring data.

[0084] Optionally, in the step of aligning the first environmental monitoring data and the second environmental monitoring data in the time dimension based on the first sampling point distribution and the second sampling point distribution to obtain the third environmental monitoring data and the fourth environmental monitoring data, the first sampling point and the second sampling point at the same sampling time can be determined, and the first sampling point and the second sampling point at the same sampling time can be determined as anchor points; the first sampling point distribution and the second sampling point distribution are first aligned through the anchor points to obtain a comprehensive sampling point distribution; the minimum sampling point interval between two adjacent sampling points in the comprehensive sampling point distribution is determined; the target interpolation resolution is determined according to the minimum sampling point interval; the first environmental monitoring data and the second environmental monitoring data are interpolated based on the target interpolation resolution to obtain the first environmental monitoring data and the second environmental monitoring data with the same time resolution; the first environmental monitoring data and the second environmental monitoring data with the same time resolution are second aligned in the time dimension to obtain the third environmental monitoring data and the fourth environmental monitoring data.

[0085] In the embodiment of the present invention, the above-mentioned same sampling moment can be understood as sampling performed at the same time point or in the same time period; the above-mentioned anchor point can be understood as a position mark.

[0086] The above minimum sampling point interval can be understood as the minimum time interval between consecutive samplings.

[0087] The above interpolation is a mathematical method for estimating the value of an unknown data point based on known data points, and may be linear interpolation, polynomial interpolation, spline interpolation, etc. The above target interpolation resolution may be understood as the target resolution required in the interpolation process.

[0088] The third environmental monitoring data corresponds to the first environmental monitoring data, and the fourth environmental monitoring data corresponds to the second environmental monitoring data.

[0089] Optionally, in the step of determining the target environmental data based on the aligned third environmental monitoring data and the fourth environmental monitoring data, local weight values ​​and global weight values ​​can be determined, and the third environmental monitoring data and the fourth environmental monitoring data are weightedly fused based on the local weight values ​​and the global weight values ​​to obtain fused environmental monitoring data; the environment of the startup period is predicted for the fused environmental monitoring data through a trained time series network to obtain the target environmental data.

[0090] In an embodiment of the present invention, the weight value is used to indicate the importance of the environmental monitoring data in the overall analysis. The global weight value can be understood as the overall comprehensive weight. The local weight value can be understood as the weight value in the local area. The larger the weight value, the higher the importance of the indicator and the greater the impact on the overall.

[0091] The trained time series network may be a time series model based on machine learning or deep learning, such as a recurrent neural network (RNN), a long short-term memory network (LSTM), etc.

[0092] The weighted fusion is an integrated learning method, which weights and averages the third environmental monitoring data and the fourth environmental monitoring data by using the local weight value and the global weight value by arithmetic mean, geometric mean or voting to form a fused environmental monitoring data. The local weight value weights the third environmental monitoring data, and the global weight value weights the fourth environmental monitoring data.

[0093] In a possible embodiment, the above-mentioned local weight value can be determined according to the number of interpolation of the first environmental monitoring data, and the above-mentioned global weight value can be determined according to the number of interpolation of the second environmental monitoring data. The larger the number of interpolation of the first environmental monitoring data, the smaller the local weight value, and the smaller the number of interpolation of the first environmental monitoring data, the larger the local weight value; similarly, the larger the number of interpolation of the second environmental monitoring data, the smaller the local weight value, and the smaller the number of interpolation of the second environmental monitoring data, the larger the local weight value. In this way, excessive interpolation influences can be avoided, that is, when there are too many interpolation data, the influence of the interpolation data is reduced, and when there are fewer interpolation data, the influence of the original data is increased. In turn, the credibility of the fused environmental monitoring data can be improved.

[0094] The above-mentioned environment prediction during the startup period can be understood as a process of predicting the environment when the system is started.

[0095] In the embodiment of the present invention, the local weight value and the global weight value may be determined by using methods such as linear regression, AHP hierarchical analysis method or entropy weight (value) method.

[0096] Optionally, in the step of determining the target environmental data based on the aligned third environmental monitoring data and the fourth environmental monitoring data, the third environmental monitoring data can be processed by a trained first feature extraction network to obtain local environmental features; and the fourth environmental monitoring data can be processed by a trained second feature extraction network to obtain global environmental features; and the local environmental features and the global environmental features can be classified and regressed by a trained classification and regression network to obtain the target environmental data.

[0097] In an embodiment of the present invention, the feature extraction network can be based on a machine learning or deep learning model to extract features from environmental monitoring data, and the extracted environmental features can better understand and predict environmental conditions. The feature extraction can be understood as extracting representative and distinguishing features from the original data.

[0098] The above classification and regression network is a neural network model that can handle classification and regression tasks at the same time. By integrating the classifier and regressor in one network, the network can simultaneously learn the feature representation of the input data and output discrete category labels or continuous numerical predictions.

[0099] The classification and regression network can be a machine learning or deep neural network model, such as a convolutional neural network (CNN) or a recurrent neural network (RNN).

[0100] The trained classification regression network can be obtained by training the classification regression network through training data, and after the training is completed, a trained classification regression network is obtained.

[0101] It should be noted that the third environmental monitoring data corresponds to the first environmental monitoring data, and the fourth environmental monitoring data corresponds to the second environmental monitoring data. The first environmental monitoring data is data obtained by monitoring the real-time environmental parameters of the first area; the second environmental monitoring data is data obtained by monitoring the real-time environmental parameters of the second area. The first area can be a local area, the second area can be a global area, and the second area is larger than the first area.

[0102] Optionally, in the step of determining the startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environmental data, the upstream equipment operating parameters and the downstream equipment operating parameters, the target environmental data, the upstream equipment operating parameters and the downstream equipment operating parameters can be input into a trained support vector machine for classification processing to obtain a target classification value; based on a mapping relationship table between the classification value and the startup control parameter, the startup control parameters of the auxiliary vacuum pump and the main vacuum pump are determined according to the target classification value.

[0103] In the embodiment of the present invention, the trained support vector machine is learned through training data, and the trained support vector machine is obtained after the learning is completed. The support vector machine is a machine learning algorithm that can classify and regress data. The task of the trained support vector machine is to classify the input target environment data, upstream device operating parameters and downstream device operating parameters into different categories.

[0104] The classification processing mentioned above refers to the classification of data in order to divide it into different categories or groups.

[0105] The above mapping relationship table can be understood as a table for storing classification values ​​and startup control parameters. The mapping relationship table is predefined and contains the corresponding relationship between the classification values ​​and the startup control parameters. According to the mapping relationship table between the classification values ​​and the startup control parameters, the corresponding startup control parameters can be quickly found through the classification values.

[0106] The above startup control parameters include startup time, operating frequency, working time and other parameters.

[0107] Furthermore, the main vacuum pump can be started according to the start-up control parameters, the auxiliary vacuum pump can be started according to the start-up control parameters, and the main vacuum pump and the auxiliary vacuum pump can be started according to the start-up control parameters. The present invention solves the problems of overheating and jamming of the pump body when the pump body is overloaded at high speed and low speed respectively in the existing control method, and it is difficult to meet the requirements of multi-operating load of the vacuum pump.

[0108] In the embodiment of the present invention, the host computer is electrically connected to the main vacuum pump and the auxiliary vacuum pump, and the main vacuum pump and the auxiliary vacuum pump are arranged in parallel. This means that the main vacuum pump and the auxiliary vacuum pump can work simultaneously or independently. More efficient vacuum extraction can be achieved, and the auxiliary vacuum pump can be started when necessary to assist the main vacuum pump in completing the extraction task.

[0109] like Figure 2As shown, an embodiment of the present invention provides a vacuum pump system control device, the vacuum pump system includes a host computer, a main vacuum pump and a secondary vacuum pump, the host computer is electrically connected to the main vacuum pump and the secondary vacuum pump, the main vacuum pump and the secondary vacuum pump are arranged in parallel, and the vacuum pump system control device is applied to the host computer. The vacuum pump system control device includes:

[0110] The acquisition module 201 is used to acquire first environmental monitoring data of a first area and second environmental monitoring data of a second area, and acquire operating parameters of upstream equipment and downstream equipment of the main vacuum pump when receiving a main vacuum start instruction, wherein the second area is larger than the first area;

[0111] A first determining module 202, configured to determine target environmental data according to the first environmental monitoring data and the second environmental monitoring data;

[0112] A second determination module 203 is used to determine the start-up control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters and the downstream device operating parameters;

[0113] The control module 204 is used to control the main vacuum pump and / or the auxiliary vacuum pump to start based on the start control parameter.

[0114] Optionally, the first determining module 202 includes:

[0115] A first processing submodule is used for aligning the first environmental monitoring data and the second environmental monitoring data in a time dimension after preprocessing the first environmental monitoring data and the second environmental monitoring data to obtain third environmental monitoring data and fourth environmental monitoring data, wherein the third environmental monitoring data corresponds to the first environmental monitoring data, and the fourth environmental monitoring data corresponds to the second environmental monitoring data;

[0116] The first determination submodule is used to determine the target environment data based on the aligned third environment monitoring data and the fourth environment monitoring data.

[0117] Optionally, the first processing submodule includes:

[0118] An acquisition unit, configured to acquire a first time period and a first sampling resolution corresponding to the first environment monitoring data, and a second time period and a second sampling resolution corresponding to the second environment monitoring data;

[0119] A first determining unit, configured to determine a first sampling point distribution of the first environment monitoring data according to the first time period and the first sampling resolution, each first sampling point corresponding to a sampling time and an environment monitoring data value; and

[0120] A second determining unit, configured to determine a second sampling point distribution of the second environment monitoring data according to the second time period and the second sampling resolution, each second sampling point corresponding to a sampling time and an environment monitoring data value;

[0121] The first processing unit is used to align the first environmental monitoring data and the second environmental monitoring data in a time dimension based on the first sampling point distribution and the second sampling point distribution to obtain third environmental monitoring data and fourth environmental monitoring data.

[0122] Optionally, the first processing unit includes:

[0123] A first determining subunit is used to determine the first sampling point and the second sampling point at the same sampling time, and determine the first sampling point and the second sampling point at the same sampling time as anchor points;

[0124] A first processing subunit, configured to perform a first alignment process on the first sampling point distribution and the second sampling point distribution through the anchor point to obtain a comprehensive sampling point distribution;

[0125] A second determining subunit, configured to determine a minimum sampling point interval between two adjacent sampling points in the comprehensive sampling point distribution;

[0126] A third determining subunit is used to determine a target difference resolution according to the minimum sampling point interval;

[0127] an interpolation subunit, configured to interpolate the first environment monitoring data and the second environment monitoring data based on the target interpolation resolution to obtain the first environment monitoring data and the second environment monitoring data with the same time resolution;

[0128] The second processing subunit is used to perform a second alignment process on the first environment monitoring data and the second environment monitoring data with the same time resolution in the time dimension to obtain third environment monitoring data and fourth environment monitoring data.

[0129] Optionally, the first determining submodule includes:

[0130] A second processing unit is used for performing weighted fusion on the third environment monitoring data and the fourth environment monitoring data based on the local weight value and the global weight value to obtain fused environment monitoring data;

[0131] The prediction unit is used to perform environmental prediction of the startup period on the fused environmental monitoring data through a trained time series network to obtain the target environmental data.

[0132] Optionally, the first determining submodule includes:

[0133] A third processing unit is used to perform first feature extraction processing on the third environment monitoring data through the trained first feature extraction network to obtain local environment features; and

[0134] A fourth processing unit, configured to perform second feature extraction processing on the fourth environment monitoring data through a trained second feature extraction network to obtain global environment features;

[0135] The fifth processing unit is used to perform classification and regression on the local environmental features and the global features through a trained classification and regression network to obtain the target environmental data.

[0136] Optionally, the second determining module 203 includes:

[0137] A second processing submodule is used to input the target environment data, the upstream device operating parameters and the downstream device operating parameters into a trained support vector machine for classification processing to obtain a target classification value;

[0138] The second determination submodule is used to determine the startup control parameters of the auxiliary vacuum pump and the main vacuum pump according to the target classification value based on a mapping relationship table between the classification value and the startup control parameter.

[0139] It should be noted that the vacuum pump system control device provided in the embodiment of the present invention can be applied to smart phones, computers, servers and other devices that can perform the vacuum pump system control method.

[0140] The vacuum pump system control device provided in the embodiment of the present invention can implement each process implemented by the vacuum pump system control method in the above method embodiment and can achieve the same beneficial effects. To avoid repetition, it will not be described here.

[0141] See also Figure 3 , Figure 3 A vacuum pump system control system is provided in an embodiment of the present invention. The vacuum pump system includes a host computer, a main vacuum pump and a secondary vacuum pump. The host computer is electrically connected to the main vacuum pump and the secondary vacuum pump. The main vacuum pump and the secondary vacuum pump are arranged in parallel. The vacuum pump system control system is used to implement the steps in the vacuum pump system control method provided in an embodiment of the present invention.

[0142] See also Figure 4 , Figure 4 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 4 As shown, it includes: a memory 402, a processor 401, and a computer program of a vacuum pump system control method stored in the memory 402 and executable on the processor 401, wherein:

[0143] The processor 401 is used to call the computer program stored in the memory 402 to perform the following steps:

[0144] When receiving a main vacuum start instruction, obtaining first environmental monitoring data of a first area and second environmental monitoring data of a second area, and obtaining operating parameters of upstream equipment and downstream equipment of the main vacuum pump, wherein the second area is larger than the first area;

[0145] Determining target environmental data according to the first environmental monitoring data and the second environmental monitoring data;

[0146] Determining startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters, and the downstream device operating parameters;

[0147] The main vacuum pump and / or the auxiliary vacuum pump are controlled to start based on the start-up control parameter.

[0148] Optionally, the step of determining target environmental data according to the first environmental monitoring data and the second environmental monitoring data performed by the processor 401 includes:

[0149] After preprocessing the first environment monitoring data and the second environment monitoring data, aligning the first environment monitoring data and the second environment monitoring data in a time dimension to obtain third environment monitoring data and fourth environment monitoring data, wherein the third environment monitoring data corresponds to the first environment monitoring data, and the fourth environment monitoring data corresponds to the second environment monitoring data;

[0150] The target environment data is determined based on the aligned third environment monitoring data and the fourth environment monitoring data.

[0151] Optionally, the step of aligning the first environment monitoring data and the second environment monitoring data in the time dimension to obtain third environment monitoring data and fourth environment monitoring data performed by the processor 401 includes:

[0152] Acquire a first time period and a first sampling resolution corresponding to the first environmental monitoring data, and a second time period and a second sampling resolution corresponding to the second environmental monitoring data;

[0153] Determine, according to the first time period and the first sampling resolution, a first sampling point distribution of the first environment monitoring data, each first sampling point corresponding to a sampling time and an environment monitoring data value; and

[0154] Determine, according to the second time period and the second sampling resolution, a second sampling point distribution of the second environment monitoring data, each second sampling point corresponding to a sampling time and an environment monitoring data value;

[0155] Based on the first sampling point distribution and the second sampling point distribution, the first environmental monitoring data and the second environmental monitoring data are aligned in a time dimension to obtain third environmental monitoring data and fourth environmental monitoring data.

[0156] Optionally, the step of aligning the first environment monitoring data and the second environment monitoring data in a time dimension based on the first sampling point distribution and the second sampling point distribution to obtain third environment monitoring data and fourth environment monitoring data performed by the processor 401 includes:

[0157] Determine the first sampling point and the second sampling point at the same sampling time, and determine the first sampling point and the second sampling point at the same sampling time as anchor points;

[0158] Performing a first alignment process on the first sampling point distribution and the second sampling point distribution by using the anchor point to obtain a comprehensive sampling point distribution;

[0159] Determining the minimum sampling point interval between two adjacent sampling points in the comprehensive sampling point distribution;

[0160] Determine the target difference resolution according to the minimum sampling point interval;

[0161] Interpolating the first environment monitoring data and the second environment monitoring data based on the target interpolation resolution to obtain the first environment monitoring data and the second environment monitoring data with the same time resolution;

[0162] The first environmental monitoring data and the second environmental monitoring data with the same time resolution are subjected to a second alignment process in the time dimension to obtain third environmental monitoring data and fourth environmental monitoring data.

[0163] Optionally, the step of determining the target environment data based on the aligned third environment detection data and the fourth environment detection data, performed by the processor 401, includes:

[0164] A local weight value and a global weight value, and weighted fusion of the third environment monitoring data and the fourth environment monitoring data based on the local weight value and the global weight value to obtain fused environment monitoring data;

[0165] The environment during the startup period is predicted for the fused environment monitoring data through a trained time series network to obtain the target environment data.

[0166] Optionally, the step of determining the target environment data based on the aligned third environment monitoring data and the fourth environment monitoring data, performed by the processor 401, includes:

[0167] Performing first feature extraction processing on the third environment monitoring data through the trained first feature extraction network to obtain local environment features; and

[0168] Performing second feature extraction processing on the fourth environment monitoring data through a trained second feature extraction network to obtain global environment features;

[0169] The local environment features and the global features are classified and regressed through a trained classification and regression network to obtain the target environment data.

[0170] Optionally, the step of determining the startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters, and the downstream device operating parameters performed by the processor 401 includes:

[0171] Inputting the target environment data, the upstream device operating parameters and the downstream device operating parameters into a trained support vector machine for classification processing to obtain a target classification value;

[0172] Based on a mapping relationship table between classification values ​​and startup control parameters, startup control parameters of the auxiliary vacuum pump and the main vacuum pump are determined according to the target classification values.

[0173] It should be noted that the electronic device provided in the embodiment of the present invention can be applied to smart phones, computers, servers and other devices that can perform the vacuum pump system control method.

[0174] The electronic device provided in the embodiment of the present invention can implement each process implemented by the vacuum pump system control method in the above method embodiment and can achieve the same beneficial effects. To avoid repetition, it will not be described here.

[0175] The above disclosure is only a preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A vacuum pump system control method, characterized in that: The vacuum pump system comprises a host computer, a main vacuum pump and a secondary vacuum pump, wherein the host computer is electrically connected to the main vacuum pump and the secondary vacuum pump, and the main vacuum pump and the secondary vacuum pump are arranged in parallel. The vacuum pump system control method is applied to the host computer, and the method comprises the following steps: When receiving a main vacuum pump start-up instruction, obtaining first environmental monitoring data of a first area and second environmental monitoring data of a second area, and obtaining operating parameters of an upstream device and a downstream device of the main vacuum pump, wherein the second area is larger than the first area; After preprocessing the first environmental monitoring data and the second environmental monitoring data, obtaining a first time period and a first sampling resolution corresponding to the first environmental monitoring data, and a second time period and a second sampling resolution corresponding to the second environmental monitoring data; Determine, according to the first time period and the first sampling resolution, a first sampling point distribution of the first environment monitoring data, each first sampling point corresponding to a sampling time and an environment monitoring data value; and Determine, according to the second time period and the second sampling resolution, a second sampling point distribution of the second environment monitoring data, each second sampling point corresponding to a sampling time and an environment monitoring data value; Determine the first sampling point and the second sampling point at the same sampling time, and determine the first sampling point and the second sampling point at the same sampling time as anchor points; Performing a first alignment process on the first sampling point distribution and the second sampling point distribution by using the anchor point to obtain a comprehensive sampling point distribution; Determining the minimum sampling point interval between two adjacent sampling points in the comprehensive sampling point distribution; Determine a target interpolation resolution according to the minimum sampling point interval; Interpolating the first environment monitoring data and the second environment monitoring data based on the target interpolation resolution to obtain the first environment monitoring data and the second environment monitoring data with the same time resolution; Performing a second alignment process on the first environment monitoring data and the second environment monitoring data with the same time resolution in the time dimension to obtain third environment monitoring data and fourth environment monitoring data, wherein the third environment monitoring data corresponds to the first environment monitoring data, and the fourth environment monitoring data corresponds to the second environment monitoring data; Determining target environmental data based on the aligned third environmental monitoring data and the fourth environmental monitoring data; The step of determining the target environmental data based on the aligned third environmental monitoring data and the fourth environmental monitoring data comprises: Determine a local weight value and a global weight value, and perform weighted fusion on the third environment monitoring data and the fourth environment monitoring data based on the local weight value and the global weight value to obtain fused environment monitoring data; Performing environmental prediction for the startup period on the fused environmental monitoring data through a trained time series network to obtain the target environmental data; Determining startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters, and the downstream device operating parameters; The main vacuum pump and / or the auxiliary vacuum pump are controlled to start based on the start-up control parameter.

2. The vacuum pump system control method according to claim 1, characterized in that: The step of determining the target environmental data based on the aligned third environmental monitoring data and the fourth environmental monitoring data comprises: Performing first feature extraction processing on the third environment monitoring data through the trained first feature extraction network to obtain local environment features; and Performing second feature extraction processing on the fourth environment monitoring data through a trained second feature extraction network to obtain global environment features; The local environment features and the global environment features are classified and regressed through a trained classification and regression network to obtain the target environment data.

3. The vacuum pump system control method according to claim 1, characterized in that: The step of determining the startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters and the downstream device operating parameters comprises: Inputting the target environment data, the upstream device operating parameters and the downstream device operating parameters into a trained support vector machine for classification processing to obtain a target classification value; Based on a mapping relationship table between classification values ​​and startup control parameters, startup control parameters of the auxiliary vacuum pump and the main vacuum pump are determined according to the target classification values.

4. A vacuum pump system control device, characterized in that: The vacuum pump system control device is used for the vacuum pump system, the vacuum pump system includes a host computer, a main vacuum pump and a secondary vacuum pump, the host computer is electrically connected to the main vacuum pump and the secondary vacuum pump, the main vacuum pump and the secondary vacuum pump are arranged in parallel, and the vacuum pump system control device includes: an acquisition module, when receiving a main vacuum pump start instruction, acquiring first environmental monitoring data of a first area and second environmental monitoring data of a second area, and acquiring operating parameters of an upstream device and a downstream device of the main vacuum pump, wherein the second area is larger than the first area; A first determination module is used to obtain a first time period and a first sampling resolution corresponding to the first environmental monitoring data, and a second time period and a second sampling resolution corresponding to the second environmental monitoring data after preprocessing the first environmental monitoring data and the second environmental monitoring data; determine a first sampling point distribution of the first environmental monitoring data according to the first time period and the first sampling resolution, each first sampling point corresponds to a sampling time and an environmental monitoring data value; and determine a second sampling point distribution of the second environmental monitoring data according to the second time period and the second sampling resolution, each second sampling point corresponds to a sampling time and an environmental monitoring data value; determine the first sampling and the second sampling points at the same sampling time, and determine the first sampling and the second sampling points at the same sampling time as anchor points; perform a first alignment process on the first sampling point distribution and the second sampling point distribution through the anchor point to obtain a comprehensive sampling point distribution; determine a minimum sampling point interval between two adjacent sampling points in the comprehensive sampling point distribution; determine a target interpolation resolution according to the minimum sampling point interval; The first environmental monitoring data and the second environmental monitoring data are interpolated based on the target interpolation resolution to obtain the first environmental monitoring data and the second environmental monitoring data with the same time resolution; the first environmental monitoring data and the second environmental monitoring data with the same time resolution are subjected to a second alignment process in the time dimension to obtain third environmental monitoring data and fourth environmental monitoring data, wherein the third environmental monitoring data corresponds to the first environmental monitoring data, and the fourth environmental monitoring data corresponds to the second environmental monitoring data; based on the aligned third environmental monitoring data and the fourth environmental monitoring data, target environmental data are determined; the step of determining the target environmental data based on the aligned third environmental monitoring data and the fourth environmental monitoring data comprises: determining a local weight value and a global weight value, and performing weighted fusion on the third environmental monitoring data and the fourth environmental monitoring data based on the local weight value and the global weight value to obtain fused environmental monitoring data; performing environmental prediction for the startup period on the fused environmental monitoring data through a trained time series network to obtain the target environmental data; A second determination module is used to determine the startup control parameters of the auxiliary vacuum pump and the main vacuum pump based on the target environment data, the upstream device operating parameters and the downstream device operating parameters; A control module is used to control the main vacuum pump and / or the auxiliary vacuum pump to start based on the start control parameter.

5. A vacuum pump system, characterized in that: The vacuum pump system includes a host computer, a main vacuum pump and a secondary vacuum pump. The host computer is electrically connected to the main vacuum pump and the secondary vacuum pump. The main vacuum pump and the secondary vacuum pump are arranged in parallel. The vacuum pump system is used to implement the steps in the vacuum pump system control method as described in any one of claims 1 to 3.

6. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the vacuum pump system control method according to any one of claims 1 to 3 when executing the computer program.

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