Automatic control system for gas production of atomized gas source

Abstract

The invention discloses an automatic control system for gas production of an atomized gas source, and relates to the related field of high-pressure gas production, and the system comprises a gas production instruction sending module which sends a gas production instruction; the variable-frequency gasification signal generation module executes valve opening and closing control, and liquid gas flows downwards and a low-temperature pump is pre-cooled; the initialized variable-frequency flow guide parameter determination module is used for determining initialized variable-frequency flow guide parameters and guiding the pre-cooled liquid gas into the air temperature type gasifier; the hydrodynamic model construction module is used for determining a gasification space and constructing a hydrodynamic model; the space gasification state analysis module is used for carrying out space gasification state analysis on the pre-cooled liquid gas and determining a frequency conversion flow guide strategy; and the reverse direction guidance control module is used for reverse direction guidance control of frequency conversion diversion. The technical problems of tedious operation, low working efficiency and poor safety and reliability of the existing atomization gas source gas making are solved, and the technical effects of full-automatic control of atomization gas source gas making and improvement of the working efficiency and the safety and reliability are achieved.

Description

Technical Field

[0001] The present application relates to the field of high-pressure gas preparation, and in particular to an automatic control system for gas preparation using an atomized gas source. Background Art

[0002] In the field of industrial production, compressed liquid air fractionation technology is widely used to produce cryogenic liquid gases such as liquid nitrogen, liquid oxygen and liquid argon. After being transported to the point of use, these cryogenic liquid gases are usually stored in pressure tanks and need to be converted by an atomizing gas source device to be used in the form of high-pressure gas. The traditional atomizing gas source device is cumbersome and inefficient in the process of preparing high-pressure gas. Specifically, the operator needs to manually operate the cryogenic liquid pump to pump the liquid gas from the liquid storage tank into the air-temperature vaporizer. In this process, the liquid gas exchanges heat with the atmospheric environment through the air-temperature vaporizer, thereby realizing the transformation from liquid to gas and forming a high-pressure gaseous gas. Subsequently, these high-pressure gases are stored in gas storage tanks and adjusted to the required use pressure by a pressure regulating valve group. However, due to the complex valve opening sequence, this gas production method requires multiple operators to collaborate at the same time, which not only increases labor costs, but also may cause operational errors and affect gas production efficiency. Operators need to monitor key parameters such as pressure and temperature in real time to ensure the safe operation of the equipment. This real-time monitoring increases the workload, and the low temperature working environment also poses a potential threat to the health of operators.

[0003] In the current related technologies, the atomization gas source gas production has technical problems such as complicated operation, low work efficiency, and poor safety and reliability. Summary of the invention

[0004] The present application provides an atomizing gas source gas production automation control system, which realizes the fully automated control of the atomizing gas source in preparing high-pressure gas by integrating key components such as a gas production instruction sending module, a variable frequency gasification signal generating module, an initialization variable frequency flow guide parameter determination module, a fluid dynamics model building module, a space gasification state analysis module, and a reverse guidance control module, thereby achieving the technical effect of improving work efficiency and safety and reliability by providing atomizing gas source automatic control.

[0005] The present application provides an atomization gas source gas production automatic control system, comprising:

[0006] A gas-making instruction sending module, which is used to send gas-making instructions through the main control console and transmit them to the automatic control system based on the serial bus; a variable frequency gasification signal generating module, which is used to execute valve opening and closing control through the automatic control system, perform downstream liquid gas pre-cooling with a cryogenic pump, and generate a variable frequency gasification signal, wherein a preset temperature threshold is used as the pre-cooling condition; an initialization variable frequency diversion parameter determination module, which is used to determine the initialization variable frequency diversion parameters based on the variable frequency gasification signal, and introduce the pre-cooled liquid gas into the air-temperature gasifier; a fluid dynamic model construction Module, the fluid dynamic model construction module is used to determine the vaporization space based on the air-temperature vaporizer, perform finite difference processing, and construct a fluid dynamic model, wherein the vaporization space includes a first space for convective heat exchange and a second space for heat conduction, and the first space is connected to the second space; a space vaporization state analysis module, the space vaporization state analysis module is used to perform space vaporization state analysis on the pre-cooled liquid gas in the air-temperature vaporizer based on the fluid dynamic model, and determine the variable frequency diversion strategy; a reverse guidance control module, the reverse guidance control module is used to perform reverse guidance control of the variable frequency diversion based on the variable frequency diversion strategy.

[0007] In a possible implementation, the fluid dynamics model is constructed by performing the following processing:

[0008] The spatial step and the time step are set, wherein the step settings of the first space and the second space are different; based on the spatial step and the time step, the gasification space is gridded to define a four-dimensional grid distribution; the four-dimensional grid distribution is subjected to finite difference processing to construct the fluid dynamics model.

[0009] In a possible implementation, finite difference processing is performed on the four-dimensional grid distribution to construct the fluid dynamics model, and the following processing is performed:

[0010] For the four-dimensional grid distribution, center difference processing is performed grid by grid to determine a discrete difference equation, wherein the difference equation is expressed as a division calculation of the difference between the thermal balance eigenvalues ​​of the front and rear grid intersection nodes and twice the spatial step length with any grid intersection node as the center; boundary conditions are determined based on the ambient temperature characteristics, and the boundary conditions at least include boundary temperature and heat flux density; and the fluid dynamics model is constructed based on the discrete difference equation and the boundary conditions, taking the four-dimensional grid distribution as a reference.

[0011] In a possible implementation, after the space gasification state analysis is performed, the following processing is performed:

[0012] Identify the gasification state of the space, determine the first static feature and the first dynamic feature; traverse the frequency conversion decision library, match the first static feature with the first dynamic feature, and determine the first current limiting condition; based on the initialized frequency conversion flow diversion parameters, perform parameter control adjustment conversion on the first current limiting condition to determine the first frequency conversion strategy.

[0013] In a possible implementation, the frequency conversion decision library is constructed to perform the following processing:

[0014] For the static gasification characteristics and dynamic gasification characteristics, combined with historical gasification records, feature mining is carried out under the four-dimensional grid to determine the flow limiting conditions, where the flow limiting conditions are used for flow frequency conversion regulation, including flow limiting direction and flow limiting vector; a mapping between static gasification characteristics, dynamic gasification characteristics and the flow limiting conditions is established, and a frequency conversion decision library is constructed.

[0015] In a possible implementation, the system further includes:

[0016] A surface image acquisition module, the surface image acquisition module is used to collect the surface image of the air-temperature vaporizer heat absorber by controlling the video monitoring device; an element recognition module, the element recognition module is used to use the frosting characteristics as the directional recognition elements, perform element recognition on the surface image, and determine the real-time frosting characteristic value; a second frequency conversion strategy acquisition module, the second frequency conversion strategy acquisition module is used to determine the heat exchange loss based on the external environment based on the real-time frosting characteristic value, and acquire the second frequency conversion strategy.

[0017] In a possible implementation, the frequency conversion flow diversion strategy is determined by performing the following processing:

[0018] The first frequency conversion strategy and the second frequency conversion strategy are mutually verified to determine a verification result; if the verification result meets the standard, the first frequency conversion strategy and the second frequency conversion strategy are fitted to determine the frequency conversion diversion strategy.

[0019] In a possible implementation, after the pre-cooled liquid gas is introduced into the air-temperature gasifier, the following treatment is performed:

[0020] Determine a high-pressure gas storage module, which is composed of N parallel gas tanks; the air-temperature gasifier outputs the prepared gas, which is transmitted to the high-pressure gas storage module through a pipeline for gas storage, wherein the high-pressure gas storage module is equipped with a temperature sensor and a pressure sensor; determine the sensor data of the high-pressure gas storage module, and generate a gas shutdown signal based on a preset temperature value and a preset pressure value, which is transmitted to the main control console to perform gas shutdown control of the automatic control system.

[0021] The present application proposes an atomizing gas source gas production automation control system. The gas production instruction sending module sends the gas production instruction through the main control console, and transmits it to the automatic control system based on the serial bus. The variable frequency gasification signal generating module executes the valve opening and closing control through the automatic control system to perform the downstream and cryogenic pump pre-cooling of the liquid gas, and generates a variable frequency gasification signal. Among them, the preset temperature threshold is used as the pre-cooling condition, and the initialization variable frequency diversion parameter determination module determines the initialization variable frequency diversion parameter based on the variable frequency gasification signal, and the pre-cooled liquid gas is introduced into the air-temperature gasifier. The fluid dynamic model construction module determines the initialization variable frequency diversion parameter based on the air-temperature gasification signal. The vaporization space of the vaporizer is subjected to finite difference processing to construct a fluid dynamic model, wherein the vaporization space includes a first space for convective heat exchange and a second space for heat conduction, and the first space is connected to the second space. The space vaporization state analysis module is used to analyze the space vaporization state of the pre-cooled liquid gas in the air-temperature vaporizer based on the fluid dynamic model, and the variable frequency diversion strategy is determined. The reverse guidance control of the variable frequency diversion is performed based on the variable frequency diversion strategy through the reverse guidance control module, thereby realizing the fully automated control of the preparation of high-pressure gas by the atomization gas source, and improving the technical effect of work efficiency and safety and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0023] Figure 1 A schematic structural diagram of an atomizing gas source gas production automation control system provided in an embodiment of the present application.

[0024] Figure 2 A schematic diagram of a flow chart for determining a first frequency conversion strategy in an atomization gas source gas production automation control system provided in an embodiment of the present application.

[0025] Explanation of reference numerals: gas production instruction sending module 10 , variable frequency gasification signal generating module 20 , initialization variable frequency flow guide parameter determining module 30 , fluid dynamic model building module 40 , space gasification state analyzing module 50 , reverse guidance control module 60 . DETAILED DESCRIPTION

[0026] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0027] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0028] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0029] The present application embodiment provides an atomization gas source gas production automatic control system, such as Figure 1 As shown, the system comprises:

[0030] The gas-making instruction sending module 10 is used to send the gas-making instruction through the main console, and transmit it to the automatic control system based on the serial bus. Specifically, the user inputs the gas-making instruction through the main console (user operation interface, used to input and display the gas-making instruction and related information), and the instruction contains basic information such as the type and quantity of gas. After receiving the instruction, the gas-making instruction sending module 10 transmits the instruction to the automatic control system through the serial bus (a communication protocol for transmitting data, allowing data to be transmitted sequentially between multiple devices, such as RS-485, USB, etc.).

[0031] The variable frequency gasification signal generating module 20 is used to execute valve opening and closing control through the automatic control system, perform downstream liquid gas pre-cooling with the cryogenic pump, and generate a variable frequency gasification signal, wherein the preset temperature threshold is used as the pre-cooling condition. Specifically, after receiving the gas production instruction, the automatic control system controls the downstream of the liquid gas by opening and closing the valve. At the same time, the cryogenic pump starts to pre-cool the liquid gas, that is, to prepare the liquid gas for gasification by lowering the temperature. After reaching the preset temperature threshold (the minimum temperature that the liquid gas needs to reach before it starts to gasify), a variable frequency gasification signal is generated. The variable frequency gasification signal represents a signal of the frequency change required during the liquid gas gasification process, and contains parameters such as the frequency and pressure required for the liquid gas gasification.

[0032] Initialize the variable frequency flow diversion parameter determination module 30, the initialization variable frequency flow diversion parameter determination module 30 is used to determine the initialization variable frequency flow diversion parameters based on the variable frequency gasification signal, and introduce the pre-cooled liquid gas into the air-temperature gasifier. Specifically, based on the variable frequency gasification signal, the initialization variable frequency flow diversion parameter determination module 30 calculates the optimal parameters for introducing the liquid gas into the air-temperature gasifier, including the introduction speed, frequency, etc., to ensure that the liquid gas remains stable during the gasification process. Among them, the air-temperature gasifier is a device that uses ambient temperature to gasify the liquid gas.

[0033] In one possible implementation, after the pre-cooled liquid gas is introduced into the air-temperature vaporizer, the process includes: determining a high-pressure gas storage module, which is composed of N parallel gas storage tanks; the air-temperature vaporizer outputs the prepared gas, which is transmitted to the high-pressure gas storage module through a pipeline for gas storage, wherein the high-pressure gas storage module is equipped with a temperature sensor and a pressure sensor; determining the sensor data of the high-pressure gas storage module, generating a gas production shutdown signal based on a preset temperature value and a preset pressure value, and transmitting the signal to the main control console to perform gas production shutdown control of the automatic control system.

[0034] Specifically, the high-pressure gas storage module is composed of N parallel gas tanks for storing the prepared gas output from the air-temperature vaporizer. Each gas tank has the ability to store gas, and due to the parallel design, the system can selectively use some or all of the gas tanks as needed. After the air-temperature vaporizer completes the gasification process of the liquid gas, the output prepared gas is transmitted to the high-pressure gas storage module through a pipeline. After the prepared gas enters the high-pressure gas storage module, it is distributed to each parallel gas tank for storage. The high-pressure gas storage module is equipped with a temperature sensor and a pressure sensor for real-time monitoring of the temperature and pressure in the gas tank. The system obtains data from these sensors regularly or in real time, and compares the obtained temperature and pressure data with the preset temperature and pressure values. If the actual temperature or pressure reaches or exceeds the preset value, it is considered that the high-pressure gas storage module is full or there is a safety hazard, and the gas production process needs to be stopped. At this time, the system generates a gas production shutdown signal and transmits it to the main console via a serial bus. After receiving the gas production shutdown signal, the main console executes the corresponding shutdown control logic, including closing the liquid gas supply valve, stopping the precooling operation of the cryogenic pump, and shutting down other related equipment in the automatic control system. This implementation method realizes real-time monitoring of the storage status of the prepared gas by introducing a high-pressure gas storage module and assembling a temperature sensor and a pressure sensor on it. When the temperature or pressure in the high-pressure gas storage module reaches the preset value, a gas production shutdown signal is automatically generated, and the shutdown control is executed through the main console, which improves safety.

[0035] A fluid dynamic model construction module 40 is used to determine the vaporization space based on the air-temperature vaporizer, perform finite difference processing, and construct a fluid dynamic model, wherein the vaporization space includes a first space for convective heat exchange and a second space for heat conduction, and the first space is connected to the second space. Specifically, the vaporization space of the air-temperature vaporizer is determined, and the space includes a first space for convective heat exchange and a second space for heat conduction. Convective heat exchange refers to the heat exchange between the fluid and the solid surface due to the temperature difference; heat conduction refers to the transfer of heat inside the solid or between different solids due to the temperature gradient. Finite difference processing is performed on the vaporization space to construct a fluid dynamic model, and the fluid dynamic model is used to simulate the flow and heat exchange of liquid gas during the vaporization process.

[0036] In a possible implementation, the constructing of the fluid dynamics model includes: setting a spatial step and a time step, wherein the step settings of the first space and the second space are different; based on the spatial step and the time step, gridding the vaporization space to define a four-dimensional grid distribution; performing finite difference processing on the four-dimensional grid distribution to construct the fluid dynamics model.

[0037] Specifically, when constructing a fluid dynamics model, the vaporization space is discretized, that is, the continuous space is divided into a series of small units (or grids). The spatial step size is the size of these small units in space, where the choice of the step size is based on the balance between calculation accuracy and calculation efficiency. Too large a step size may lead to numerical instability, while too small a step size increases the amount of calculation. For the first space (convective heat exchange space) and the second space (heat conduction space), due to their different physical properties and heat exchange mechanisms, different spatial steps are set to more accurately simulate the fluid flow and heat transfer process inside them. When simulating fluid dynamic behavior, time also needs to be discretized, and the time step size is the length of time represented by each step in the simulation process.

[0038] Based on the spatial step and time step, the gasification space is gridded and the four-dimensional grid distribution is defined. Specifically, according to the set spatial step, the gasification space is divided into a series of three-dimensional grid units, each grid unit represents a small volume, and the fluid flow and heat transfer process inside it can be simulated by numerical methods. On the basis of the three-dimensional grid, the time dimension is introduced to form a four-dimensional grid distribution. In this way, each grid unit corresponds to a specific time and space position, and the fluid state (such as velocity, temperature, pressure, etc.) of the position at different time points can be recorded. Finite difference processing is performed on the four-dimensional grid distribution, that is, by discretizing the continuous fluid dynamic equation on the four-dimensional grid, a series of algebraic equations are obtained, and these algebraic equations can be solved by computer to obtain the state of the fluid at different time and space positions. Through the above finite difference processing, a fluid dynamic model describing the fluid flow and heat transfer process in the gasification space is constructed, and the model is used to simulate and predict the performance of the fluid system. This implementation method accurately simulates the fluid flow and heat transfer process in different regions of the gasification space by setting different spatial steps and time steps, thereby improving the accuracy of the simulation.

[0039] In a possible implementation, the four-dimensional grid distribution is subjected to finite difference processing to construct the fluid dynamics model, including: for the four-dimensional grid distribution, center difference processing is performed grid by grid to determine a discrete difference equation, wherein the difference equation is expressed as a calculation of dividing the difference between the thermal balance eigenvalues ​​of the front and rear grid intersection nodes by twice the spatial step length with any grid intersection node as the center; boundary conditions are determined based on the ambient temperature characteristics, and the boundary conditions include at least boundary temperature and heat flux density; and the fluid dynamics model is constructed based on the four-dimensional grid distribution and the discrete difference equation and the boundary conditions.

[0040] Specifically, for each grid intersection node in the four-dimensional grid distribution, the central difference method is applied. The central difference is a numerical method used to solve partial differential equations. The derivatives in the continuous equation are approximated by calculating the difference between adjacent nodes on the discrete grid. By discretizing the continuous equation on the discrete grid, a series of algebraic equations are obtained. In this step, taking any grid intersection node as the center, the front and rear grid intersection nodes around it are considered. For each node, the difference of its thermal equilibrium eigenvalue is calculated, and this difference is divided by twice the spatial step size to obtain the discrete difference equation of the node. This equation describes the change of the fluid state (such as temperature, velocity, etc.) at the node with time. Through the above central difference processing, a series of discrete difference equations about the fluid state of the grid intersection node are obtained. The form of the discrete difference equation depends on the simulated physical process and the selected numerical method. It can involve multiple variables such as temperature, velocity, pressure, and describe the interaction and change relationship between them.

[0041] Boundary conditions are important factors that must be considered in the simulation process. They describe the interaction between the simulation area and the external environment, including boundary temperature, heat flux density, etc. For air-temperature vaporizers, the external environment temperature affects the temperature distribution and fluid flow state inside the vaporizer. Therefore, when constructing the fluid dynamics model, the boundary conditions are determined based on the external environment temperature characteristics. After obtaining the discrete difference equations and boundary conditions, they are combined with the four-dimensional grid distribution to construct a complete fluid dynamics model. This model describes the detailed process of fluid flow and heat transfer in the vaporization space, and can be used to simulate and predict the performance of the vaporizer under different operating conditions. This implementation method can obtain more accurate discrete difference equations by performing central difference processing on each grid, thereby more accurately describing the fluid flow and heat transfer process. At the same time, by determining the boundary conditions based on the external environment temperature characteristics, it is ensured that the model can more accurately reflect the complex boundary conditions in the actual situation, achieving the technical effect of improving the accuracy and reliability of the simulation results.

[0042] The space vaporization state analysis module 50 is used to perform a space vaporization state analysis on the precooled liquid gas in the air-temperature vaporizer based on the fluid dynamics model, and determine a variable frequency flow diversion strategy. Specifically, based on the fluid dynamics model, a space vaporization state analysis is performed on the precooled liquid gas in the air-temperature vaporizer, and the vaporization speed, temperature distribution and other states of the liquid gas are analyzed. Based on the analysis results, a variable frequency flow diversion strategy (a strategy for adjusting the frequency and speed of liquid gas introduction into the air-temperature vaporizer) is determined to optimize the vaporization process.

[0043] like Figure 2As shown, in a possible implementation method, after performing space gasification state analysis, it includes: identifying the space gasification state, determining the first static feature and the first dynamic feature; traversing the frequency conversion decision library, matching the first static feature with the first dynamic feature, and determining the first current limiting condition; based on the initialized frequency conversion flow diversion parameters, performing parameter control and adjustment conversion on the first current limiting condition, and determining the first frequency conversion strategy.

[0044] Specifically, after the spatial gasification state analysis is performed, the gasification state of the precooled liquid gas in the air-temperature gasifier is identified, including identifying the key parameters such as the distribution, temperature, and pressure of the gas in the gasifier. The key features of these gasification states, namely the first static feature and the first dynamic feature, are extracted. The static features include relatively stable state parameters such as the temperature distribution and pressure distribution of the gas in the gasifier; the dynamic features include parameters that change over time such as the gas flow rate and the temperature change trend. The variable frequency decision library is a decision library pre-established based on historical data and experimental verification. The library stores the corresponding variable frequency diversion strategies under various gasification states for optimizing gasification efficiency and energy utilization. After identifying the key features of the gasification state, the variable frequency decision library is traversed to find the strategy that best matches the current first static feature and the first dynamic feature. Through matching, one or several groups of possible variable frequency diversion strategies are found, and the first flow limiting conditions are determined based on these strategies. The first flow limiting conditions refer to the limiting conditions of the diversion strategy that need to be adopted in order to maintain the stability of the gas state in the gasifier, including the upper and lower limits of the diversion rate, the allowable range of temperature change, etc. Based on the initialization of the variable frequency flow diversion parameters, the first current limiting condition is converted by parameter control, that is, according to the current gasification state and current limiting conditions, the flow diversion rate, temperature control and other parameters are adjusted to formulate the optimal variable frequency flow diversion strategy, that is, the first variable frequency strategy. This implementation method identifies the gasification state in the gasifier and formulates the optimal variable frequency flow diversion scheme based on the variable frequency flow diversion strategy obtained by historical data and experimental verification, ensuring that the gas state in the gasifier is always kept within a safe and stable range, and realizing the optimization and efficient operation of the atomization gas source gas production process.

[0045] In a possible implementation, the frequency conversion decision library is constructed, including: for static gasification characteristics and dynamic gasification characteristics, combined with historical gasification records, feature mining is performed under a four-dimensional grid to determine the flow limiting conditions, wherein the flow limiting conditions are used for flow frequency conversion regulation and control, including the flow limiting direction and the flow limiting vector; a mapping between static gasification characteristics, dynamic gasification characteristics and the flow limiting conditions is established to construct the frequency conversion decision library.

[0046] Specifically, a large amount of static gasification characteristics and dynamic gasification characteristics data are collected from historical gasification records, including temperature distribution, pressure distribution, flow rate, flow rate and other parameters in the gasifier. These data are preprocessed, including data cleaning (removing outliers, missing values, etc.), data normalization (converting data to a uniform magnitude) and other steps to ensure the accuracy and comparability of the data. Under the four-dimensional grid (i.e., grid division in two dimensions of space and time), feature mining is performed on the preprocessed data, including extracting key gasification characteristics, such as temperature gradient, flow rate change, etc., and analyzing their relationship with target variables such as gasification efficiency and energy consumption. Through feature mining, the key factors affecting the gasification process are found, and how these factors affect the formulation of variable frequency diversion strategies. Based on the results of feature mining, a series of flow limiting conditions are determined, including the upper and lower limits of the flow rate, the change trend of the flow rate (increase or decrease), etc., which are used to guide the subsequent flow variable frequency regulation. The flow limiting conditions not only include the flow limiting direction (i.e., the increase or decrease of the flow rate), but also include the flow limiting vector (i.e., the specific flow value or range). The mapping relationship between static gasification characteristics, dynamic gasification characteristics and flow limiting conditions is established through machine learning algorithms. This mapping relationship describes the variable frequency flow diversion strategy that should be adopted under different gasification states. Finally, the mapping relationship is stored in the variable frequency decision library, which contains the corresponding variable frequency flow diversion strategies under various gasification states to guide the actual gas production process. This implementation method enables the system to automatically select the optimal variable frequency flow diversion strategy according to the current gasification state by constructing a variable frequency decision library, thereby realizing intelligent control of the atomization gas source gas production process.

[0047] In a possible implementation, the system also includes: a surface image acquisition module, which is used to collect surface images of the air-temperature vaporizer heat absorber by controlling a video monitoring device; an element recognition module, which is used to perform element recognition on the surface image with frosting characteristics as directional recognition elements, and determine real-time frosting characteristic values; a second frequency conversion strategy acquisition module, which is used to determine the heat exchange loss based on the external environment based on the real-time frosting characteristic values, and acquire the second frequency conversion strategy.

[0048] Specifically, the surface image acquisition module controls the video monitoring device (equipment for real-time capture and recording of the surface image of the air-temperature vaporizer heat absorber, including components such as cameras and image sensors) to start, and the video monitoring device collects the surface image of the air-temperature vaporizer heat absorber according to the preset time interval or trigger condition (such as the change of parameters such as temperature and pressure). The element recognition module preprocesses the collected surface image, including operations such as denoising and contrast enhancement to improve the image quality. The preprocessed image is subjected to feature extraction, with a focus on extracting features related to frosting. Frosting features refer to the specific manifestations of water vapor condensing into frost on the surface of the air-temperature vaporizer heat absorber due to low temperature, such as color change, texture increase, etc. The extracted features are matched and identified to determine the real-time frosting feature value, which is a quantitative indicator used to indicate the severity or range of frosting. The second frequency conversion strategy acquisition module evaluates the heat exchange loss based on the external environment based on the real-time frosting feature value, combined with parameters such as temperature and humidity of the external environment. This loss includes the decrease in heat transfer efficiency and increase in energy consumption caused by frosting. The second frequency conversion strategy that matches the current heat exchange loss is searched in the frequency conversion decision library, including operations such as adjusting the diversion rate and changing the temperature setting value. The second frequency conversion strategy found is sent to the automatic control system, and the system performs corresponding operations to optimize the gas production process and reduce heat exchange losses. This implementation method identifies the frosting characteristics and formulates a frequency conversion strategy based on it, so that the system can adjust the gas production process in time, reduce the heat exchange loss and energy consumption increase caused by frosting, and achieve the technical effect of improving gas production efficiency, extending the service life of the air-temperature gasifier, reducing maintenance costs and improving system operation stability.

[0049] In a possible implementation, determining the frequency conversion diversion strategy includes: verifying the first frequency conversion strategy and the second frequency conversion strategy against each other to determine a verification result; if the verification result meets the standard, fitting the first frequency conversion strategy and the second frequency conversion strategy to determine the frequency conversion diversion strategy.

[0050] Specifically, the key parameters in the two frequency conversion strategies are compared, including but not limited to the diversion rate, temperature setting value, pressure control, etc. It is determined whether the two frequency conversion strategies are consistent or acceptable according to the preset verification conditions, wherein the verification conditions include whether the adjustment direction of the parameters is consistent (for example, both increase or decrease), and whether the amplitude modulation of the parameters is within the preset difference range (for example, the increase or decrease of the diversion rate in the two strategies does not exceed a certain percentage). If the first frequency conversion strategy and the second frequency conversion strategy meet the verification conditions in the adjustment direction and amplitude modulation of the key parameters, it is determined that the verification result meets the standard. For the two strategies whose verification results meet the standard, the final frequency conversion diversion strategy is determined using a fitting method, and the fitting method includes mean processing (i.e. taking the average value of the parameters in the two frequency conversion strategies), weighted average processing (giving different weights to the parameters of different strategies according to the reliability or priority of the frequency conversion strategy, and then calculating the weighted average) or other optimization algorithms (such as least squares method, genetic algorithm, etc.). After fitting processing, a final frequency conversion diversion strategy that combines the advantages of the two frequency conversion strategies is obtained. This implementation method improves the accuracy and reliability of the variable frequency diversion strategy by performing variable frequency decision analysis from the inside (based on fluid dynamics model and spatial gasification state analysis) and the outside (based on surface image acquisition and element recognition), and verifying each other. The internal analysis mainly relies on accurate mathematical models and physical principles, which can capture the internal dynamic changes in the gasification process; while the external analysis can monitor the impact of the external environment (such as temperature, humidity, frost, etc.) on the gasification process in real time. Through mutual verification and fitting processing, the system can integrate information from both aspects to obtain a more comprehensive and optimized variable frequency diversion strategy. This not only improves the gas production efficiency, but also reduces energy consumption and operating costs, while improving the stability and reliability of the system.

[0051] The reverse guidance control module 60 is used to perform reverse guidance control of the variable frequency diversion based on the variable frequency diversion strategy. Specifically, based on the variable frequency diversion strategy, the reverse guidance control module 60 controls the introduction process of the liquid gas in real time. According to the actual situation during the gasification process, the introduction parameters are dynamically adjusted to ensure the stability and efficiency of the gasification process. The embodiment of the present application integrates key components such as the gas production instruction sending module, the variable frequency gasification signal generation module, the initialization variable frequency diversion parameter determination module, the fluid dynamics model construction module, the space gasification state analysis module and the reverse guidance control module to achieve fully automated control of the preparation of high-pressure gas from the atomized gas source, and improve the technical effect of work efficiency and safety and reliability.

[0052] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0053] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An automatic control system for atomizing gas source, characterized in that: The system comprises: A gas-making instruction sending module, which is used to send gas-making instructions through the main control console and transmit them to the automatic control system based on a serial bus; A variable frequency gasification signal generation module, the variable frequency gasification signal generation module is used to perform valve opening and closing control through the automatic control system, perform downstream liquid gas precooling with a cryogenic pump, and generate a variable frequency gasification signal, wherein a preset temperature threshold is used as a precooling condition; An initialization variable frequency flow diversion parameter determination module, the initialization variable frequency flow diversion parameter determination module is used to determine the initialization variable frequency flow diversion parameters based on the variable frequency gasification signal, and introduce the pre-cooled liquid gas into the air-temperature gasifier; A fluid dynamic model building module, the fluid dynamic model building module is used to determine a gasification space based on an air-temperature gasifier, perform finite difference processing, and build a fluid dynamic model, wherein the gasification space includes a first space for convective heat exchange and a second space for heat conduction, and the first space is connected to the second space; A space vaporization state analysis module, the space vaporization state analysis module is used to perform a space vaporization state analysis on the precooled liquid gas in the air-temperature vaporizer based on the fluid dynamics model, and determine a variable frequency flow diversion strategy; A reverse guidance control module is used to perform reverse guidance control of variable frequency diversion based on the variable frequency diversion strategy.

2. The automatic control system for atomizing gas source gas production according to claim 1, characterized in that: The construction of the fluid dynamics model comprises: Setting a spatial step and a temporal step, wherein the step settings of the first space and the second space are different; Based on the space step and the time step, the gasification space is gridded to define a four-dimensional grid distribution; Finite difference processing is performed on the four-dimensional grid distribution to construct the fluid dynamics model.

3. An automatic control system for atomizing gas source gas production as claimed in claim 2, characterized in that: Performing finite difference processing on the four-dimensional grid distribution to construct the fluid dynamic model includes: For the four-dimensional grid distribution, center difference processing is performed on each grid to determine a discrete difference equation, wherein the difference equation is expressed as a division calculation of the difference between the heat balance eigenvalues ​​of the front and rear grid intersection nodes and twice the space step length with any grid intersection node as the center; Determine boundary conditions based on external environment temperature characteristics, wherein the boundary conditions at least include boundary temperature and heat flux density; The fluid dynamics model is constructed based on the four-dimensional grid distribution and the discrete difference equations and the boundary conditions.

4. The automatic control system for atomizing gas source gas production according to claim 1, characterized in that: After the space gasification state analysis is carried out, including: Identify the gasification state of the space and determine the first static feature and the first dynamic feature; Traversing the frequency conversion decision library, matching the first static feature with the first dynamic feature, and determining a first current limiting condition; Based on the initialized variable frequency current diversion parameter, the first current limiting condition is subjected to parameter control adjustment conversion to determine a first frequency conversion strategy.

5. The automatic control system for atomizing gas source gas production as claimed in claim 4, characterized in that: Constructing the frequency conversion decision library includes: Based on the static gasification characteristics and dynamic gasification characteristics, combined with historical gasification records, feature mining is performed under the four-dimensional grid to determine the flow limiting conditions, wherein the flow limiting conditions are used for flow frequency conversion control, including flow limiting direction and flow limiting vector; A mapping between static gasification characteristics, dynamic gasification characteristics and the current limiting conditions is established, and a frequency conversion decision library is constructed.

6. The automatic control system for atomizing gas source gas production as claimed in claim 4, characterized in that: The system further comprises: A surface image acquisition module, the surface image acquisition module is used to acquire a surface image of the air-temperature vaporizer heat absorber by controlling a video monitoring device; An element recognition module, the element recognition module is used to perform element recognition on the surface image by taking the frosting feature as a directional recognition element, and determine a real-time frosting feature value; The second frequency conversion strategy acquisition module is used to determine the heat exchange loss based on the external environment based on the real-time frosting characteristic value and acquire the second frequency conversion strategy.

7. An automatic control system for atomizing gas source gas production as claimed in claim 6, characterized in that: The step of determining the variable frequency flow diversion strategy includes: Mutually verifying the first frequency conversion strategy and the second frequency conversion strategy to determine a verification result; If the verification result meets the standard, the first frequency conversion strategy and the second frequency conversion strategy are fitted to determine the frequency conversion diversion strategy.

8. The automatic control system for atomizing gas source gas production as claimed in claim 1, characterized in that: After the pre-cooled liquid gas is introduced into the air-temperature vaporizer, it includes: Determine a high-pressure gas storage module, wherein the high-pressure gas storage module is composed of N parallel gas storage tanks; The air-temperature gasifier outputs the prepared gas, which is transmitted to the high-pressure gas storage module through a pipeline for gas storage, wherein the high-pressure gas storage module is equipped with a temperature sensor and a pressure sensor; The sensor data of the high-pressure gas storage module is determined, and a gas shutdown signal is generated based on a preset temperature value and a preset pressure value, and is transmitted to the main control console to perform gas shutdown control of the automatic control system.

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