A gas storage method and system based on pressure regulation

Abstract

This invention relates to the field of control and regulation technology, specifically a gas storage method and system based on pressure regulation. The method includes: optimizing the parameters of an adaptive pressure regulating chamber based on an environmental sensor dataset to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters; configuring the adjustment volume and damping valve of the adaptive pressure regulating chamber according to the target pressure regulating parameters to obtain an optimized pressure regulating chamber; adjusting the pressure of the target gas using the optimized pressure regulating chamber to obtain a true pressure sequence; calculating the pressure difference between the true pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence; updating the target pressure regulating parameters according to the pressure difference sequence to obtain updated pressure regulating parameters; replacing the target pressure regulating parameters with the updated parameters; and returning to the previous process of configuring the adjustment volume and damping valve of the adaptive pressure regulating chamber according to the target pressure regulating parameters. This invention can improve the stability of gas storage.

Description

Technical Field

[0001] This invention relates to the field of control and regulation technology, and in particular to a gas storage method and system based on pressure regulation. Background Technology

[0002] Today, industrial gases such as hydrogen, natural gas, and ammonia are typically stored under high pressure. However, it should be understood that the stability of gas storage is directly related to the efficiency and safety of chemical production. A stable storage environment can ensure the continuity and quality stability of gas supply, thereby improving production efficiency.

[0003] With the continuous development of science and technology, mobile gas storage equipment such as mobile gas refueling stations, vehicle-mounted hydrogen storage cylinders, and aerospace airborne gas storage are gradually increasing. The external environment of gas storage equipment changes drastically, and the traditional method of relying on pressure sensors to regulate container pressure is difficult to adapt to more complex external environmental changes. Summary of the Invention

[0004] This invention provides a gas storage method based on pressure regulation, the main purpose of which is to improve the stability of gas storage.

[0005] To achieve the above objectives, the present invention provides a gas storage method based on pressure regulation, comprising: Using a pre-constructed storage chamber, a pre-constructed target gas is stored, and during the gas storage process, the real-time gas pressure inside the chamber is obtained. When the real-time gas pressure in the storage chamber reaches the preset rated gas storage pressure, the gas storage process is stopped, and the pre-built adaptive pressure regulating chamber is activated in the storage chamber. The environmental sensor data set of the storage chamber is obtained, and the parameters of the adaptive pressure regulating chamber are optimized based on the environmental sensor data set to obtain the optimized pressure fluctuation sequence and target pressure regulating parameters. Based on the target pressure regulation parameters, the adaptive pressure regulating chamber is adjusted in terms of volume configuration and damping valve configuration to obtain an optimized pressure regulating chamber; Using the optimized pressure regulating chamber, the pressure of the target gas is adjusted to obtain a true pressure sequence; Calculate the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence, and classify the pressure difference sequence into processing levels to obtain pressure difference processing levels; If the differential pressure treatment level is the preset first treatment level, the target pressure regulation parameter is updated according to the differential pressure value sequence to obtain the updated pressure regulation parameter, and the target pressure regulation parameter is replaced by the updated pressure regulation parameter. Then, the process of adjusting the volume configuration and damping valve configuration of the adaptive pressure regulating chamber according to the target pressure regulation parameter is returned to the above process. If the differential pressure handling level is the preset second handling level, a pressure relief handling command is generated according to the differential pressure value sequence, and the pressure relief handling command is sent to the pre-built user operation terminal.

[0006] Optionally, during the gas storage process, the method further includes: When the real-time gas pressure inside the chamber reaches the preset output pressure value, the pre-built back-end valve is used to initialize the pressure configuration of the pre-built buffer chamber, and after the initial pressure configuration, the back-end valve is closed. When the pre-built front-end valve receives a preset gas usage command, the gas discharge volume of the buffer chamber is obtained; Using a pre-constructed volume-pressure formula, the amount of gas obtained is calculated based on the output pressure value, real-time gas pressure inside the chamber, and gas discharge rate. The flow rate of the downstream valve is controlled based on the amount of gas obtained.

[0007] Optionally, the step of optimizing the parameters of the adaptive pressure regulating chamber based on the environmental sensor data set to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters includes: Using a pre-trained digital twin model of the pressure regulating chamber, and based on the environmental sensor data set, the pressure regulating effect of the adaptive pressure regulating chamber is predicted using digital twin simulation, resulting in a predicted air pressure sequence. The predicted pressure sequence is adjusted by adjusting the pressure regulating chamber parameters based on minimizing volumetric oscillations to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters.

[0008] Optionally, before utilizing the pre-trained digital twin model of the pressure regulating chamber, the method further includes: Based on the pre-constructed equipment production parameters, structural simulation modeling is performed on the storage chamber and the adaptive pressure regulating chamber to obtain a digital twin gas storage device; Using the pre-built formula for calculating air pressure fluctuations, the pre-built regression model is initialized to obtain the initial air pressure prediction network. Obtain air pressure test samples, and use the air pressure test samples to perform machine learning operations on the initial air pressure prediction network to obtain the air pressure prediction network; The pressure prediction network is connected using a pre-constructed volumetric oscillation identification network based on pressure fluctuations to obtain the pressure regulating chamber parameter adjustment network. The digital twin gas storage device is configured with physical field based on the pressure regulating chamber parameter adjustment network to obtain the digital twin model of the pressure regulating chamber.

[0009] Optionally, the step of adjusting the pressure regulating chamber parameters based on minimizing volumetric oscillations in the predicted pressure sequence to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters includes: Based on the pre-constructed Boyle's Law and the preset damping formula, the predicted air pressure sequence is adjusted to obtain the output air pressure sequence, wherein Boyle's Law is expressed as: ; In the formula, Indicates the first The parameters of the adaptive pressure regulating chamber are adjusted next. Indicates the first Predicted air pressure before the next adjustment. This indicates the volume of the storage compartment. Indicates the first The adjusted output air pressure express The volume contributed by the adaptive pressure regulating chamber after the adjustment; The output pressure sequence is then expressed as: ; In the formula, This represents the damping formula. Indicates the first The damping value of the adaptive pressure regulating chamber is adjusted in the next step, wherein the damping value ranges from 0 to 1. This indicates the gas flow rate, which is related to the damping. and real-time changing pressure difference related; The output pressure sequence is adjusted by minimizing the parameters of the pressure regulating chamber based on a preset objective function. The adjustment of these parameters is then constrained according to the digital twin gas storage device, resulting in an optimized pressure fluctuation sequence and target pressure regulating parameters. The objective function is expressed as: ; In the formula, This represents the objective function to be optimized. and Indicates the weighting coefficient. Indicates the total number of adjustments. This indicates the rated gas storage pressure. Indicates the stable pressure term. Represents a stable volume term; The constraint condition is expressed as follows: ; In the formula, This represents the minimum regulating volume of the adaptive pressure regulating chamber. This indicates the maximum usable volume of the adaptive pressure regulating chamber for pressure regulation. Represents the absolute value symbol.

[0010] Optionally, the step of using the optimized pressure regulating chamber to adjust the pressure of the target gas to obtain a true pressure sequence includes: Obtain the real-time pressure value of the optimized pressure regulating chamber; Calculate the pressure difference between the real-time gas pressure inside the chamber and the real-time pressure regulating chamber to obtain the adjustable pressure. Using a pre-built damping valve, the target gas in the storage chamber is depressurized into the optimized pressure regulating chamber according to the adjustable pressure; When the adjustable pressure is zero, the real-time gas pressure inside the chamber is recorded within a preset time period to obtain the actual pressure sequence.

[0011] Optionally, the step of classifying the pressure difference value sequence into processing levels to obtain pressure difference processing levels includes: Feature extraction is performed on the pressure difference value sequence to obtain the pressure difference time series feature sequence; The pressure difference sequence is transformed in the frequency domain to obtain frequency domain transformed data, and feature extraction is performed on the frequency domain transformed data to obtain a pressure difference frequency domain feature sequence. The differential pressure time-series feature sequence and differential pressure frequency-domain feature sequence are subjected to binary classification based on differential pressure type to obtain the differential pressure processing level.

[0012] Optionally, generating a pressure relief instruction based on the pressure difference sequence includes: Curve fitting is performed on the pressure difference value sequence to obtain the pressure difference fluctuation curve; Based on the pre-constructed genetic algorithm and the preset minimum gas pressure relief genetic target, the pressure difference fluctuation curve is subjected to pressure relief threshold identification to obtain the pressure relief threshold pressure. Based on the pressure relief threshold, identify the time points in the pressure difference fluctuation curve where the pressure difference is greater than the pressure relief threshold to obtain the pressure relief time points; Using the pressure release threshold, a pressure release termination threshold is constructed, and a pressure relief processing command is constructed based on the pressure release time node and the pressure release termination threshold.

[0013] To achieve the above objectives, the present invention also provides a pressure-regulated gas storage system, comprising: The data acquisition module is used to store a pre-constructed target gas in a pre-constructed storage chamber, and during the gas storage process, acquire the real-time gas pressure inside the chamber, and when the real-time gas pressure inside the chamber reaches the preset rated gas storage pressure, stop the gas storage process and open the pre-constructed adaptive pressure regulating chamber inside the storage chamber. The pressure regulating chamber parameter configuration module is used to acquire the environmental sensor data set of the storage chamber, optimize the parameters of the adaptive pressure regulating chamber based on the environmental sensor data set to obtain the optimized air pressure fluctuation sequence and target pressure regulating parameters, and configure the adjustment volume and damping valve of the adaptive pressure regulating chamber based on the target pressure regulating parameters to obtain the optimized pressure regulating chamber. The pressure regulating module is used to adjust the pressure of the target gas using the optimized pressure regulating chamber to obtain a true pressure sequence. The feedback adjustment module is used to calculate the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence. It then classifies the pressure difference sequence into processing levels to obtain a pressure difference processing level. If the pressure difference processing level is a preset first processing level, it updates the target pressure regulation parameter based on the pressure difference sequence to obtain an updated pressure regulation parameter. The updated pressure regulation parameter replaces the target pressure regulation parameter, and the process returns to the previous step of configuring the adaptive pressure regulating chamber's adjustment volume and damping valve based on the target pressure regulation parameter. If the pressure difference processing level is a preset second processing level, it generates a pressure relief instruction based on the pressure difference sequence and sends the pressure relief instruction to a pre-built user operation terminal.

[0014] Optionally, the system includes a storage compartment, an adaptive voltage regulation compartment, a sensor cluster, and a processor; The storage compartment is used to store the target gas; The adaptive pressure regulating chamber includes an adjustable chamber body and a damping valve. The adjustable chamber body is used to depressurize or pressurize the storage chamber, and the damping valve is used to extend the time of the step of depressurizing or pressurizing the storage chamber. The sensor cluster is used to collect environmental parameters inside and outside the storage compartment, and to collect environmental parameters inside the adaptive pressure regulating compartment. The processor is used to adjust the adaptive pressure regulating chamber and damping valve according to the data collected by the sensor cluster, so as to maintain the gas pressure in the storage chamber within a preset range.

[0015] To address the above problems, the present invention also provides an electronic device, the electronic device comprising: Memory, storing at least one instruction; The processor executes the instructions stored in the memory to implement the pressure-regulated gas storage method described above.

[0016] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the pressure-regulated gas storage method described above.

[0017] To address the problems described in the background section, this invention first constructs an adaptive pressure regulating chamber with a damping valve. This chamber regulates the pressure of the gas within the storage chamber within a certain pressure fluctuation range using internal springs and other structures. To avoid capacitive oscillations, this invention limits the volume and damping of the pressure regulating chamber. Furthermore, by collecting environmental data and using digital twin technology, this invention optimizes the virtual parameters of the adaptive pressure regulating chamber, thereby reducing the actual adjustment frequency. In addition, this invention uses feedback regulation to monitor the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence in real time, thus obtaining the pressure regulation effect and facilitating further optimization of the pressure regulation effect or timely detection of abnormal states. Therefore, this invention can improve the stability of gas storage. Attached Figure Description

[0018] Figure 1 This is a schematic flowchart of a pressure-regulated gas storage method according to an embodiment of the present invention. Figure 2 A functional block diagram of a pressure-regulated gas storage system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of an electronic device for implementing the pressure-regulated gas storage method according to an embodiment of the present invention.

[0019] Explanation of reference numerals in the attached figures: 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0020] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0022] This application provides a pressure-regulated gas storage method. The execution entity of the pressure-regulated gas storage method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the pressure-regulated gas storage method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0023] Reference Figure 1 The diagram shown is a schematic flowchart of a pressure-regulated gas storage method according to an embodiment of the present invention. In this embodiment, the pressure-regulated gas storage method includes: S1. Using a pre-constructed storage chamber, store the pre-constructed target gas, and during the gas storage process, obtain the real-time gas pressure inside the chamber.

[0024] The storage compartment is configured as a 70MPa, 140L vehicle-mounted hydrogen storage device.

[0025] The target gas is configured as hydrogen.

[0026] The gas storage refers to the process of adding the target gas from the gas station to the storage chamber.

[0027] The real-time gas pressure inside the storage chamber is obtained by a pressure sensor.

[0028] Specifically, in this embodiment of the invention, hydrogen is first added to the storage chamber to facilitate the subsequent storage process during transportation and the subsequent initialization of the internal components of the storage chamber.

[0029] In detail, in this embodiment of the invention, during the gas storage process, the method further includes: When the real-time gas pressure inside the chamber reaches the preset output pressure value, the pre-built back-end valve is used to initialize the pressure configuration of the pre-built buffer chamber, and after the initial pressure configuration, the back-end valve is closed. When the pre-built front-end valve receives a preset gas usage command, the gas discharge volume of the buffer chamber is obtained; Using a pre-constructed volume-pressure formula, the amount of gas obtained is calculated based on the output pressure value, real-time gas pressure inside the chamber, and gas discharge rate. The flow rate of the downstream valve is controlled based on the amount of gas obtained.

[0030] The output pressure value is configured to be 0.6 MPa.

[0031] The downstream valve refers to the valve connecting the buffer chamber and the storage chamber. The buffer chamber is a transition chamber located between the storage chamber and the downstream gas-using equipment, situated at the bottleneck position of the storage chamber.

[0032] The initial pressure configuration refers to the process of setting the air pressure in the buffer chamber to 0.6 MPa.

[0033] The aforementioned front-end valve refers to the valve that connects the buffer chamber to the downstream gas-using equipment.

[0034] The gas usage command refers to the hydrogen dispatch command sent by the vehicle system when the user uses hydrogen.

[0035] The gas discharge volume refers to the amount of hydrogen gas allocated per unit time in the gas usage instruction.

[0036] The volume-pressure formula refers to the ideal gas law, PV=nRT, where P is the gas pressure, V is the gas volume, n is the amount of substance, R is the ideal gas constant, and T is the temperature. That is, when the nR parameter is fixed, if the temperature remains constant, the gas pressure is inversely proportional to the volume.

[0037] The gas acquisition amount refers to the amount of hydrogen that needs to be transferred from the storage chamber to the buffer chamber per unit time.

[0038] The flow control refers to the process of adjusting the downstream valve so that the hydrogen flow rate of the downstream valve matches the gas acquisition rate.

[0039] Specifically, in this embodiment of the invention, during the process of adding hydrogen to the storage chamber, when the real-time gas pressure inside the chamber reaches the output pressure value, the back-end valve is opened to initialize the pressure of the buffer chamber, waiting for the buffer chamber to be used later.

[0040] Specifically, in this embodiment of the invention, when the buffer chamber starts to supply gas to the downstream equipment, it is necessary to control the front-end valve to replenish the buffer chamber with gas, thereby ensuring that the buffer chamber has a stable pressure and thus achieving stable output.

[0041] Specifically, in this embodiment of the invention, the gas acquisition amount is calculated by multiplying the real-time gas pressure in the chamber by the gas acquisition amount, which equals the output pressure value multiplied by the gas discharge amount using the volume-pressure formula, and then the flow rate of the back-end valve is controlled.

[0042] S2. When the real-time gas pressure in the storage chamber reaches the preset rated gas storage pressure, the gas storage process is stopped, and the pre-built adaptive pressure regulating chamber is activated in the storage chamber.

[0043] The adaptive pressure regulating chamber refers to a chamber with an adjustable volume and a damper installed at the opening, which accounts for 5% to 10% of the volume of the storage chamber.

[0044] Specifically, in this embodiment of the invention, the adaptive pressure regulating chamber is elastic. When the real-time gas pressure inside the chamber increases, the adaptive pressure regulating chamber compresses the space to provide a larger volume for external hydrogen, thereby reducing the real-time gas pressure inside the chamber.

[0045] S3. Obtain the environmental sensor data set of the storage chamber, and optimize the parameters of the adaptive pressure regulating chamber based on the environmental sensor data set to obtain the optimized pressure fluctuation sequence and target pressure regulating parameters.

[0046] The environmental sensing data set refers to the external environmental data of the storage compartment, which can be acquired through vehicle-mounted sensors, such as information on external temperature, pressure, vehicle vibration, and acceleration.

[0047] The parameter optimization refers to the process of adjusting the size of the adaptive pressure regulating chamber (the volume contributed to the storage chamber) and the size of the damping valve.

[0048] The optimized pressure fluctuation sequence refers to the pressure fluctuation data corresponding to the adaptive pressure regulating chamber after simulation optimization.

[0049] The target pressure regulation parameters refer to the damping value and volume value of the adaptive pressure regulation chamber corresponding to the optimized pressure fluctuation sequence.

[0050] In detail, in this embodiment of the invention, the step of optimizing the parameters of the adaptive pressure regulating chamber based on the environmental sensing data set to obtain the optimized pressure fluctuation sequence and target pressure regulating parameters includes: Using a pre-trained digital twin model of the pressure regulating chamber, and based on the environmental sensor data set, the pressure regulating effect of the adaptive pressure regulating chamber is predicted using digital twin simulation, resulting in a predicted air pressure sequence. The predicted pressure sequence is adjusted by adjusting the pressure regulating chamber parameters based on minimizing volumetric oscillations to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters.

[0051] The digital twin model of the pressure regulating chamber refers to the model result of simulating the working process of the adaptive pressure regulating chamber through digital twin and neural network technologies.

[0052] The voltage regulation effect prediction based on digital twin simulation refers to the process of executing the digital twin model of the voltage regulating chamber to simulate the voltage regulation effect of an adaptive voltage regulating chamber with any parameter configuration under the environmental sensing data set environment.

[0053] The predicted pressure sequence refers to the pressure change sequence corresponding to any set of parameters configured for the adaptive pressure regulating chamber.

[0054] The parameter adjustment operation of the pressure regulating chamber based on minimizing volumetric oscillation refers to the process of identifying the predicted pressure sequence corresponding to each parameter configuration, thereby finding the parameter configuration with high prediction accuracy and minimal volume change of the adaptive pressure regulating chamber.

[0055] In detail, in this embodiment of the invention, before utilizing the pre-trained digital twin model of the pressure regulating chamber, the method further includes: Based on the pre-constructed equipment production parameters, structural simulation modeling is performed on the storage chamber and the adaptive pressure regulating chamber to obtain a digital twin gas storage device; Using the pre-built formula for calculating air pressure fluctuations, the pre-built regression model is initialized to obtain the initial air pressure prediction network. Obtain air pressure test samples, and use the air pressure test samples to perform machine learning operations on the initial air pressure prediction network to obtain the air pressure prediction network; The pressure prediction network is connected using a pre-constructed volumetric oscillation identification network based on pressure fluctuations to obtain the pressure regulating chamber parameter adjustment network. The digital twin gas storage device is configured with physical field based on the pressure regulating chamber parameter adjustment network to obtain the digital twin model of the pressure regulating chamber.

[0056] The equipment production parameters refer to various parameter information when designing the storage bins and adaptive pressure regulating bins, such as material type, volume, thickness, and shape.

[0057] The structural simulation modeling refers to the process of constructing a virtual storage chamber and an adaptive pressure regulating chamber using digital twin technology. The digital twin gas storage device refers to an integrated device combining the virtual storage chamber and the adaptive pressure regulating chamber.

[0058] The formula for calculating air pressure fluctuations refers to Boyle's Law (i.e., P1V1=P2V2).

[0059] The regression model refers to a neural network model framework that can learn the mapping relationship between multiple vectors.

[0060] The initialization operation refers to the process of performing machine learning on the air pressure fluctuation calculation formula in the regression model, which is used to reduce the training difficulty of the regression model. For example, the functional relationship P1V1=P2V2 can be directly replaced in the regression formula of the regression model.

[0061] The pressure test sample refers to the test results of hydrogen in the equipment of this solution, including the pressure sequence records of each parameter configuration of the adaptive pressure regulating chamber under various external environments.

[0062] The machine learning operation refers to the process by which the initial pressure prediction network learns the mapping relationship between each external environment vector—the parameter configuration vector of the pressure regulating chamber—and the pressure fluctuation sequence.

[0063] The pressure prediction network refers to the initial pressure prediction network that learns the mapping relationship between the parameter configuration vectors of each external environment vector-pressure regulating chamber and the pressure fluctuation sequence.

[0064] The volumetric oscillation identification network based on air pressure fluctuations refers to a neural network model that has learned the mapping relationship between air pressure fluctuations and volumetric oscillations. Volumetric oscillations refer to the phenomenon where the volume of the pressure regulating chamber repeatedly and frequently adjusts and fluctuates back and forth within a short period of time.

[0065] The connection refers to the process of connecting the output layer of the pressure prediction network to the input layer of the volumetric oscillation identification network.

[0066] The pressure regulating chamber parameter adjustment network refers to the result of connecting the pressure prediction network to the volumetric oscillation identification network based on pressure fluctuations.

[0067] The physical field configuration refers to the process of accurately mapping all the real physical laws, hardware characteristics, and environmental constraints involved in the voltage regulation system into the digital twin model, so that the operating rules of the virtual model are completely consistent with those of the real equipment.

[0068] Specifically, in this embodiment of the invention, a digital twin gas storage device shell is first constructed based on the equipment production parameters. Then, an initial gas pressure prediction network is constructed using the gas pressure fluctuation calculation formula, and machine learning is performed using gas pressure test samples to obtain the final gas pressure prediction network. At this point, the gas pressure prediction network is used to predict gas pressure fluctuations based on external environmental information and pressure regulating chamber parameter information, but it cannot yet select suitable pressure regulating chamber parameter information. Therefore, this invention further constructs a volumetric oscillation identification network based on gas pressure fluctuations. This volumetric oscillation identification network can identify whether the pressure regulating chamber parameter information can avoid volumetric oscillation problems based on gas pressure fluctuations, thereby completing the functional configuration of the pressure regulating chamber parameter adjustment network.

[0069] Specifically, in this embodiment of the invention, the voltage regulating chamber parameter adjustment network is used as a physical law and configured into the digital twin gas storage device according to the digital twin rules, thereby obtaining the digital twin model of the voltage regulating chamber.

[0070] In detail, in this embodiment of the invention, the step of adjusting the pressure regulating chamber parameters based on minimizing volumetric oscillations to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters includes: Based on the pre-constructed Boyle's Law and the preset damping formula, the predicted air pressure sequence is adjusted to obtain the output air pressure sequence, wherein Boyle's Law is expressed as: ; In the formula, Indicates the first The parameters of the adaptive pressure regulating chamber are adjusted next. Indicates the first Predicted air pressure before the next adjustment. This indicates the volume of the storage compartment. Indicates the first The adjusted output air pressure express The volume contributed by the adaptive pressure regulating chamber after the adjustment; The output pressure sequence is then expressed as: ; In the formula, This represents the damping formula. Indicates the first The damping value of the adaptive pressure regulating chamber is adjusted in the next step, wherein the damping value ranges from 0 to 1. This indicates the gas flow rate, which is related to the damping. and real-time changing pressure difference related; The output pressure sequence is adjusted by minimizing the parameters of the pressure regulating chamber based on a preset objective function. The adjustment of these parameters is then constrained according to the digital twin gas storage device, resulting in an optimized pressure fluctuation sequence and target pressure regulating parameters. The objective function is expressed as: ; In the formula, This represents the objective function to be optimized. and Indicates the weighting coefficient. Indicates the total number of adjustments. This indicates the rated gas storage pressure. Indicates the stable pressure term. Represents a stable volume term; The constraint condition is expressed as follows: ; In the formula, This represents the minimum regulating volume of the adaptive pressure regulating chamber. This indicates the maximum usable volume of the adaptive pressure regulating chamber for pressure regulation. Represents the absolute value symbol.

[0071] Among them, Boyle's law refers to the law of Boyle's law. , , , The specific parameters are substituted into the Boyle's Law formula above.

[0072] The damping formula is the pressure-damping-flow velocity relationship configured in this invention, which can be equivalently regarded as a voltage-resistance-current relationship.

[0073] The pressure adjustment refers to the process of calculating the adjusted output pressure based on a pre-constructed Boyle's Law when the volume contributed by the adaptive pressure regulating chamber changes.

[0074] The output pressure sequence refers to the result of adaptive pressure regulation chamber adjustment after parameter adjustment of the predicted pressure sequence.

[0075] The adjustment of the pressure regulating chamber parameters based on minimizing the preset optimization objective function refers to the process of calculating the parameter configuration information of the adaptive pressure regulating chamber when the optimization objective function is minimized.

[0076] The constraint refers to the monitoring process that ensures the adjustment range of the configuration parameters of the adaptive pressure regulating chamber does not exceed the actual regulating capacity of the equipment.

[0077] Specifically, in this embodiment of the invention, the pressure fluctuation after parameter adjustment in the adaptive pressure regulating chamber can be calculated based on the pre-constructed Boyle's law. However, considering that blindly increasing the volume of the pressure regulating chamber will not only fail to reduce pressure fluctuations but may also create "resonance" with the sloshing inside the tank, making the pressure fluctuations even greater, this invention adds a damping valve to the opening of the adaptive pressure regulating chamber to prevent the liquid medium from directly rushing into the pressure regulating chamber during sloshing, causing sudden pressure changes in the adaptive pressure regulating chamber. This can reduce pressure fluctuations and also reduce the service life of the adaptive pressure regulating chamber.

[0078] Specifically, in this embodiment of the invention, the ultimate goal of adjusting the adaptive pressure regulating chamber is to ensure that the pressure in the storage chamber can be stably controlled within a certain range above and below the rated gas storage pressure. Furthermore, this invention aims to achieve a situation where the adaptive pressure regulating chamber can be adjusted directly, avoiding repeated adjustments. Therefore, the constructed pressure regulating chamber is expected to have the smallest volume change. Partially, and then through weighted calculation, for example : =8:2, thus obtaining the optimized objective function of this scheme, which comprehensively considers accuracy and volumetric oscillation.

[0079] S4. Based on the target pressure regulating parameters, adjust the volume configuration and damping valve configuration of the adaptive pressure regulating chamber to obtain an optimized pressure regulating chamber.

[0080] The optimized pressure regulating chamber refers to the result of the adaptive pressure regulating chamber after adjusting the target pressure regulating parameters.

[0081] Specifically, in this embodiment of the invention, the steps in S3 above are performed in a digital virtual environment. Therefore, after obtaining the target voltage regulation parameters, they can be configured into the real adaptive voltage regulation chamber to obtain an optimized voltage regulation chamber that can be actually put into use.

[0082] S5. Using the optimized pressure regulating chamber, the pressure of the target gas is adjusted to obtain the true pressure sequence.

[0083] The pressure adjustment refers to the process of stabilizing the pressure of the target gas.

[0084] The actual pressure sequence refers to the gas pressure data in the storage chamber after the pressure regulating chamber has been adjusted and optimized.

[0085] In detail, in this embodiment of the invention, the step of using the optimized pressure regulating chamber to adjust the pressure of the target gas to obtain a true pressure sequence includes: Obtain the real-time pressure value of the optimized pressure regulating chamber; Calculate the pressure difference between the real-time gas pressure inside the chamber and the real-time pressure regulating chamber to obtain the adjustable pressure. Using a pre-built damping valve, the target gas in the storage chamber is depressurized into the optimized pressure regulating chamber according to the adjustable pressure; When the adjustable pressure is zero, the real-time gas pressure inside the chamber is recorded within a preset time period to obtain the actual pressure sequence.

[0086] The real-time pressure value of the pressure regulating chamber refers to the pressure value within the optimized pressure regulating chamber.

[0087] The adjustable pressure refers to the difference between the real-time gas pressure inside the chamber and the real-time pressure regulating chamber pressure.

[0088] Specifically, in this embodiment of the invention, a sensor can be used to acquire the real-time pressure value of the pressure regulating chamber, thereby obtaining the pressure difference between the real-time gas pressure inside the chamber and the real-time pressure value of the pressure regulating chamber, thus obtaining an adjustable pressure. When there is no damping valve, the pressure relief operation will be completed instantaneously according to the adjustable pressure. However, the liquid medium in the storage chamber will also form waves as the vehicle moves. When the waves of the liquid medium coincide with the waves generated by the pressure relief, it will aggravate the fluctuations inside the storage chamber, increasing the danger.

[0089] Specifically, in this embodiment of the invention, the damping valve can block the fluctuations formed by the liquid medium and weaken the fluctuations caused by pressure relief, thereby improving the stability of gas storage.

[0090] S6. Calculate the pressure difference between the real pressure sequence and the optimized pressure fluctuation sequence to obtain the pressure difference sequence, and classify the pressure difference sequence into processing levels to obtain the pressure difference processing level.

[0091] The pressure difference sequence refers to the actual pressure sequence and the optimized pressure fluctuation sequence.

[0092] The processing level classification refers to the process of classifying the pressure difference sequence using a neural network model based on its representation, such as deviation amplitude, deviation direction (whether it tends to be stable), and whether it repeats.

[0093] The differential pressure treatment level refers to the output result of the treatment level classification process, including the first treatment level and the second treatment level.

[0094] In detail, in this embodiment of the invention, the step of classifying the pressure difference value sequence into processing levels to obtain pressure difference processing levels includes: Feature extraction is performed on the pressure difference value sequence to obtain the pressure difference time series feature sequence; The pressure difference sequence is transformed in the frequency domain to obtain frequency domain transformed data, and feature extraction is performed on the frequency domain transformed data to obtain a pressure difference frequency domain feature sequence. The differential pressure time-series feature sequence and differential pressure frequency-domain feature sequence are subjected to binary classification based on differential pressure type to obtain the differential pressure processing level.

[0095] The feature extraction refers to the process by which a neural network model extracts and reduces the dimensionality of data features from the pressure difference sequence using convolutional and pooling layers. The pressure difference time-series feature sequence refers to the feature extraction result of the pressure difference sequence.

[0096] The frequency domain transformation refers to converting the time-domain pressure difference sequence into frequency-domain data using a Fourier transform algorithm. The frequency-domain transformed data refers to the pressure difference sequence after frequency domain transformation.

[0097] The feature extraction operation is equivalent to the feature extraction process described above, except that the objects from which the data are extracted are different.

[0098] The pressure difference frequency domain feature sequence refers to the feature extraction result of the frequency domain converted data.

[0099] The binary classification judgment based on pressure difference type refers to the process of performing a feature full connection operation on the pressure difference time series feature sequence and the pressure difference frequency domain feature sequence, and then performing a classification judgment on the spliced ​​vector result based on the first processing level and the second processing level.

[0100] Specifically, in this embodiment of the invention, the pressure difference sequence is fluctuating data, containing not only numerical information but also periodic frequency information. The invention first extracts features from the pressure difference sequence to obtain a pressure difference time-series feature sequence. Then, it performs frequency domain transformation on the pressure difference sequence to obtain frequency-domain transformed data, and further performs feature extraction on the frequency-domain transformed data to obtain a pressure difference frequency-domain feature sequence. Finally, a pressure difference processing level is determined through binary classification based on the pressure difference type.

[0101] Specifically, in this embodiment of the invention, if the deviation is small (≤10%) and the deviation direction is stable, it indicates that the pressure adjustment process is effective and can continue to be adjusted. In this case, the differential pressure treatment level is configured as the preset first treatment level.

[0102] If the deviation is large (greater than 10%), the deviation gradually increases with usage time, and the deviation is close each time under the same command, it indicates that the pressure adjustment process is invalid and the optimized pressure regulating chamber needs to be readjusted. In this case, the differential pressure treatment level is determined to be the preset second treatment level.

[0103] If the differential pressure treatment level is the preset first treatment level, S7, update the target pressure regulation parameter according to the gas pressure difference value sequence to obtain the updated pressure regulation parameter, replace the target pressure regulation parameter with the updated pressure regulation parameter, and return to the above process of adjusting the volume configuration and damping valve configuration of the adaptive pressure regulating chamber according to the target pressure regulation parameter.

[0104] Specifically, in this embodiment of the invention, if the differential pressure treatment level is the preset first treatment level, it indicates that the parameter configuration of the model output is reasonable. The target pressure regulation parameter can be updated according to the gas pressure difference value sequence to obtain the updated pressure regulation parameter. The updated pressure regulation parameter is then used to replace the target pressure regulation parameter, and the scheme is executed again to improve the gas storage stability.

[0105] If the differential pressure handling level is the preset second handling level, S8, generate a pressure relief handling command according to the gas pressure difference value sequence, and send the pressure relief handling command to the pre-built user operation terminal.

[0106] The pressure relief instruction refers to the instruction to control the pressure relief port to vent air from the storage chamber, including start and end markers.

[0107] The user control terminal refers to a device that can be operated by technicians, such as the central control panel of a car.

[0108] In detail, in this embodiment of the invention, generating a pressure relief instruction based on the pressure difference sequence includes: Curve fitting is performed on the pressure difference value sequence to obtain the pressure difference fluctuation curve; Based on the pre-constructed genetic algorithm and the preset minimum gas pressure relief genetic target, the pressure difference fluctuation curve is subjected to pressure relief threshold identification to obtain the pressure relief threshold pressure. Based on the pressure relief threshold, identify the time points in the pressure difference fluctuation curve where the pressure difference is greater than the pressure relief threshold to obtain the pressure relief time points; Using the pressure release threshold, a pressure release termination threshold is constructed, and a pressure relief processing command is constructed based on the pressure release time node and the pressure release termination threshold.

[0109] The curve fitting refers to the process of approximating each discrete data point in the pressure difference sequence as closely as possible with a continuous function curve.

[0110] The pressure difference fluctuation curve refers to the curve fitting result of the pressure difference value sequence.

[0111] The genetic algorithm is an algorithm that finds the optimal solution in a complex solution space by simulating the process of gene crossover, mutation, and natural selection. It is particularly suitable for solving the problem of selecting the best parameter configuration from multiple parameter configurations of the adaptive pressure regulating chamber in this scheme.

[0112] The minimum gas pressure relief genetic objective refers to the provision that the minimum gas consumption for pressure relief is the optimal solution for the pressure relief scheme.

[0113] The pressure relief threshold identification refers to the process of arbitrarily selecting a pressure relief threshold corresponding to a scheme that can effectively relieve pressure.

[0114] The pressure relief threshold pressure refers to the pressure relief threshold corresponding to any effective pressure relief scheme.

[0115] The pressure relief time node refers to the time node corresponding to the first pressure value in the pressure difference fluctuation curve that is greater than the pressure relief threshold.

[0116] The pressure discharge termination threshold is configured as the pressure discharge threshold pressure.

[0117] Specifically, in this embodiment of the invention, the pressure difference sequence is first fitted to obtain the pressure difference fluctuation curve. Then, a genetic algorithm is used to arbitrarily configure the pressure release threshold pressure to check whether the pressure release process can be achieved. If it can be achieved, the pressure release threshold pressure is retained.

[0118] This invention offers multiple pressure relief thresholds to choose from. Therefore, by using a minimum gas pressure relief genetic target, the optimal pressure relief threshold is selected and configured as the pressure relief termination threshold. The time point of the optimal pressure relief threshold is recorded to obtain the pressure relief time point. Finally, based on the pressure relief time point and the pressure relief termination threshold, a pressure relief processing command is constructed.

[0119] Specifically, in this embodiment of the invention, a pressure relief instruction will be sent to the user's operating terminal. This serves two purposes: firstly, as a warning, and secondly, as the user can manually select a suitable area to perform the pressure relief operation, thereby reducing the hazards of exhaust gas.

[0120] To address the problems described in the background section, this invention first constructs an adaptive pressure regulating chamber with a damping valve. This chamber regulates the pressure of the gas within the storage chamber within a certain pressure fluctuation range using internal springs and other structures. To avoid capacitive oscillations, this invention limits the volume and damping of the pressure regulating chamber. Furthermore, by collecting environmental data and using digital twin technology, this invention optimizes the virtual parameters of the adaptive pressure regulating chamber, thereby reducing the actual adjustment frequency. In addition, this invention uses feedback regulation to monitor the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence in real time, thus obtaining the pressure regulation effect and facilitating further optimization of the pressure regulation effect or timely detection of abnormal states. Therefore, this invention can improve the stability of gas storage.

[0121] like Figure 2 The diagram shown is a functional block diagram of a pressure-regulated gas storage system provided in an embodiment of the present invention.

[0122] The pressure-regulated gas storage system 100 described in this invention can be installed in an electronic device. Depending on the functions implemented, the pressure-regulated gas storage system 100 may include a data acquisition module 101, a pressure regulating chamber parameter configuration module 102, a pressure regulating module 103, and a feedback regulation module 104. The module described in this invention can also be called a unit, referring to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0123] The data acquisition module 101 is used to store the pre-constructed target gas using a pre-constructed storage chamber, and to acquire the real-time gas pressure inside the chamber during the gas storage process. When the real-time gas pressure inside the chamber reaches the preset rated gas storage pressure, the gas storage process is stopped, and the pre-constructed adaptive pressure regulating chamber is activated inside the storage chamber. The pressure regulating chamber parameter configuration module 102 is used to acquire the environmental sensing data set of the storage chamber, optimize the parameters of the adaptive pressure regulating chamber according to the environmental sensing data set to obtain the optimized air pressure fluctuation sequence and target pressure regulating parameters, and configure the adjustment volume and damping valve of the adaptive pressure regulating chamber according to the target pressure regulating parameters to obtain the optimized pressure regulating chamber. The pressure regulating module 103 is used to adjust the pressure of the target gas using the optimized pressure regulating chamber to obtain a true pressure sequence. The feedback adjustment module 104 is used to calculate the pressure difference between the real pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence, and to classify the pressure difference sequence into processing levels to obtain a pressure difference processing level. If the pressure difference processing level is a preset first processing level, the target pressure regulation parameter is updated according to the pressure difference sequence to obtain an updated pressure regulation parameter. The updated pressure regulation parameter is then used to replace the target pressure regulation parameter, and the process returns to the above-mentioned process of adjusting the volume and damping valve of the adaptive pressure regulating chamber according to the target pressure regulation parameter. If the pressure difference processing level is a preset second processing level, a pressure relief processing command is generated according to the pressure difference sequence, and the pressure relief processing command is sent to a pre-built user operation terminal.

[0124] In detail, the modules in the pressure-regulated gas storage system 100 described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The gas storage method based on pressure regulation described herein uses the same technical means and can produce the same technical effect, so it will not be repeated here.

[0125] like Figure 3 The diagram shown is a schematic diagram of an electronic device for implementing a pressure-regulated gas storage method according to an embodiment of the present invention.

[0126] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a gas storage method program based on pressure regulation.

[0127] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a gas storage method program based on pressure regulation, but also to temporarily store data that has been output or will be output.

[0128] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device via various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a gas storage method program based on pressure regulation) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0129] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0130] Figure 3 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0131] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0132] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0133] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired or wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0134] The gas storage method program based on pressure regulation stored in the memory 11 of the electronic device 1 is a combination of multiple instructions, which, when run in the processor 10, can achieve the following: Using a pre-constructed storage chamber, a pre-constructed target gas is stored, and during the gas storage process, the real-time gas pressure inside the chamber is obtained. When the real-time gas pressure in the storage chamber reaches the preset rated gas storage pressure, the gas storage process is stopped, and the pre-built adaptive pressure regulating chamber is activated in the storage chamber. The environmental sensor data set of the storage chamber is obtained, and the parameters of the adaptive pressure regulating chamber are optimized based on the environmental sensor data set to obtain the optimized pressure fluctuation sequence and target pressure regulating parameters. Based on the target pressure regulation parameters, the adaptive pressure regulating chamber is adjusted in terms of volume configuration and damping valve configuration to obtain an optimized pressure regulating chamber; Using the optimized pressure regulating chamber, the pressure of the target gas is adjusted to obtain a true pressure sequence; Calculate the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence, and classify the pressure difference sequence into processing levels to obtain pressure difference processing levels; If the differential pressure treatment level is the preset first treatment level, the target pressure regulation parameter is updated according to the differential pressure value sequence to obtain the updated pressure regulation parameter, and the target pressure regulation parameter is replaced by the updated pressure regulation parameter. Then, the process of adjusting the volume configuration and damping valve configuration of the adaptive pressure regulating chamber according to the target pressure regulation parameter is returned to the above process. If the differential pressure handling level is the preset second handling level, a pressure relief handling command is generated according to the differential pressure value sequence, and the pressure relief handling command is sent to the pre-built user operation terminal.

[0135] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0136] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0137] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following: Using a pre-constructed storage chamber, a pre-constructed target gas is stored, and during the gas storage process, the real-time gas pressure inside the chamber is obtained. When the real-time gas pressure in the storage chamber reaches the preset rated gas storage pressure, the gas storage process is stopped, and the pre-built adaptive pressure regulating chamber is activated in the storage chamber. The environmental sensor data set of the storage chamber is obtained, and the parameters of the adaptive pressure regulating chamber are optimized based on the environmental sensor data set to obtain the optimized pressure fluctuation sequence and target pressure regulating parameters. Based on the target pressure regulation parameters, the adaptive pressure regulating chamber is adjusted in terms of volume configuration and damping valve configuration to obtain an optimized pressure regulating chamber; Using the optimized pressure regulating chamber, the pressure of the target gas is adjusted to obtain a true pressure sequence; Calculate the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence, and classify the pressure difference sequence into processing levels to obtain pressure difference processing levels; If the differential pressure treatment level is the preset first treatment level, the target pressure regulation parameter is updated according to the differential pressure value sequence to obtain the updated pressure regulation parameter, and the target pressure regulation parameter is replaced by the updated pressure regulation parameter. Then, the process of adjusting the volume configuration and damping valve configuration of the adaptive pressure regulating chamber according to the target pressure regulation parameter is returned to the above process. If the differential pressure handling level is the preset second handling level, a pressure relief handling command is generated according to the differential pressure value sequence, and the pressure relief handling command is sent to the pre-built user operation terminal.

[0138] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0139] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0140] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0141] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0142] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A gas storage method based on pressure regulation, characterized in that, The method includes: Using a pre-constructed storage chamber, a pre-constructed target gas is stored, and during the gas storage process, the real-time gas pressure inside the chamber is obtained. When the real-time gas pressure in the storage chamber reaches the preset rated gas storage pressure, the gas storage process is stopped, and the pre-built adaptive pressure regulating chamber is opened in the storage chamber. The environmental sensor data set of the storage chamber is obtained, and the parameters of the adaptive pressure regulating chamber are optimized based on the environmental sensor data set to obtain the optimized pressure fluctuation sequence and target pressure regulating parameters. Based on the target pressure regulation parameters, the adaptive pressure regulating chamber is adjusted in terms of volume configuration and damping valve configuration to obtain an optimized pressure regulating chamber; Using the optimized pressure regulating chamber, the pressure of the target gas is adjusted to obtain a true pressure sequence; Calculate the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence, and classify the pressure difference sequence into processing levels to obtain pressure difference processing levels; If the differential pressure treatment level is the preset first treatment level, the target pressure regulation parameter is updated according to the differential pressure value sequence to obtain the updated pressure regulation parameter, and the target pressure regulation parameter is replaced by the updated pressure regulation parameter. Then, the process of adjusting the volume configuration and damping valve configuration of the adaptive pressure regulating chamber according to the target pressure regulation parameter is returned to the above process. If the differential pressure handling level is the preset second handling level, a pressure relief handling command is generated according to the differential pressure value sequence, and the pressure relief handling command is sent to the pre-built user operation terminal.

2. The gas storage method based on pressure regulation as described in claim 1, characterized in that, During the gas storage process, the method further includes: When the real-time gas pressure inside the chamber reaches the preset output pressure value, the pre-built back-end valve is used to initialize the pressure configuration of the pre-built buffer chamber, and after the initial pressure configuration, the back-end valve is closed. When the pre-built front-end valve receives a preset gas usage command, the gas discharge volume of the buffer chamber is obtained; Using a pre-constructed volume-pressure formula, the amount of gas obtained is calculated based on the output pressure value, real-time gas pressure inside the chamber, and gas discharge rate. The flow rate of the downstream valve is controlled based on the amount of gas obtained.

3. The gas storage method based on pressure regulation as described in claim 2, characterized in that, The step of optimizing the parameters of the adaptive pressure regulating chamber based on the environmental sensor data set to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters includes: Using a pre-trained digital twin model of the pressure regulating chamber, and based on the environmental sensor data set, the pressure regulating effect of the adaptive pressure regulating chamber is predicted using digital twin simulation, resulting in a predicted air pressure sequence. The predicted pressure sequence is adjusted by adjusting the pressure regulating chamber parameters based on minimizing volumetric oscillations to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters.

4. The gas storage method based on pressure regulation as described in claim 3, characterized in that, Prior to utilizing the pre-trained digital twin model of the pressure regulating chamber, the method further includes: Based on the pre-constructed equipment production parameters, structural simulation modeling is performed on the storage chamber and the adaptive pressure regulating chamber to obtain a digital twin gas storage device; Using the pre-built formula for calculating air pressure fluctuations, the pre-built regression model is initialized to obtain the initial air pressure prediction network. Obtain air pressure test samples, and use the air pressure test samples to perform machine learning operations on the initial air pressure prediction network to obtain the air pressure prediction network; The pressure prediction network is connected using a pre-constructed volumetric oscillation identification network based on pressure fluctuations to obtain the pressure regulating chamber parameter adjustment network. The digital twin gas storage device is configured with physical field based on the pressure regulating chamber parameter adjustment network to obtain the digital twin model of the pressure regulating chamber.

5. The gas storage method based on pressure regulation as described in claim 4, characterized in that, The step of adjusting the pressure regulating chamber parameters based on minimizing volumetric oscillations on the predicted pressure sequence to obtain an optimized pressure fluctuation sequence and target pressure regulating parameters includes: Based on the pre-constructed Boyle's Law and the preset damping formula, the predicted air pressure sequence is adjusted to obtain the output air pressure sequence, wherein Boyle's Law is expressed as: ； In the formula, Indicates the first The parameters of the adaptive pressure regulating chamber are adjusted next. Indicates the first Predicted air pressure before the next adjustment. This indicates the volume of the storage compartment. Indicates the first The adjusted output air pressure express The volume contributed by the adaptive pressure regulating chamber after the adjustment; The output pressure sequence is then expressed as: ； In the formula, This represents the damping formula. Indicates the first The damping value of the adaptive pressure regulating chamber is adjusted in the next step, wherein the damping value ranges from 0 to 1. This indicates the gas flow rate, which is related to the damping. and real-time changing pressure difference related; The output pressure sequence is adjusted by minimizing the parameters of the pressure regulating chamber based on a preset objective function. The adjustment of these parameters is then constrained according to the digital twin gas storage device, resulting in an optimized pressure fluctuation sequence and target pressure regulating parameters. The objective function is expressed as: ； In the formula, This represents the objective function to be optimized. and Indicates the weighting coefficient. Indicates the total number of adjustments. This indicates the rated gas storage pressure. Indicates the stable pressure term. Represents a stable volume term; The constraint condition is expressed as follows: ； In the formula, This represents the minimum regulating volume of the adaptive pressure regulating chamber. This indicates the maximum usable volume of the adaptive pressure regulating chamber for pressure regulation. Represents the absolute value symbol.

6. The gas storage method based on pressure regulation as described in claim 5, characterized in that, The step of using the optimized pressure regulating chamber to adjust the pressure of the target gas and obtain a true pressure sequence includes: Obtain the real-time pressure value of the optimized pressure regulating chamber; Calculate the pressure difference between the real-time gas pressure inside the chamber and the real-time pressure regulating chamber to obtain the adjustable pressure. Using a pre-built damping valve, the target gas in the storage chamber is depressurized into the optimized pressure regulating chamber according to the adjustable pressure; When the adjustable pressure is zero, the real-time gas pressure inside the chamber is recorded within a preset time period to obtain the actual pressure sequence.

7. The gas storage method based on pressure regulation as described in claim 6, characterized in that, The process of classifying the pressure difference value sequence into processing levels to obtain pressure difference processing levels includes: Feature extraction is performed on the pressure difference value sequence to obtain the pressure difference time series feature sequence; The pressure difference sequence is transformed in the frequency domain to obtain frequency domain transformed data, and feature extraction is performed on the frequency domain transformed data to obtain a pressure difference frequency domain feature sequence. The differential pressure time-series feature sequence and differential pressure frequency-domain feature sequence are subjected to binary classification based on differential pressure type to obtain the differential pressure processing level.

8. The gas storage method based on pressure regulation as described in claim 7, characterized in that, The step of generating a pressure relief instruction based on the pressure difference sequence includes: Curve fitting is performed on the pressure difference value sequence to obtain the pressure difference fluctuation curve; Based on the pre-constructed genetic algorithm and the preset minimum gas pressure relief genetic target, the pressure difference fluctuation curve is subjected to pressure relief threshold identification to obtain the pressure relief threshold pressure. Based on the pressure relief threshold, identify the time points in the pressure difference fluctuation curve where the pressure difference is greater than the pressure relief threshold to obtain the pressure relief time points; Using the pressure release threshold, a pressure release termination threshold is constructed, and a pressure relief processing command is constructed based on the pressure release time node and the pressure release termination threshold.

9. A gas storage system based on pressure regulation, characterized in that, The system includes: The data acquisition module is used to store a pre-constructed target gas in a pre-constructed storage chamber, and during the gas storage process, acquire the real-time gas pressure inside the chamber, and when the real-time gas pressure inside the chamber reaches the preset rated gas storage pressure, stop the gas storage process and open the pre-constructed adaptive pressure regulating chamber inside the storage chamber. The pressure regulating chamber parameter configuration module is used to acquire the environmental sensor data set of the storage chamber, optimize the parameters of the adaptive pressure regulating chamber based on the environmental sensor data set to obtain the optimized air pressure fluctuation sequence and target pressure regulating parameters, and configure the adjustment volume and damping valve of the adaptive pressure regulating chamber based on the target pressure regulating parameters to obtain the optimized pressure regulating chamber. The pressure regulating module is used to adjust the pressure of the target gas using the optimized pressure regulating chamber to obtain a true pressure sequence. The feedback adjustment module is used to calculate the pressure difference between the actual pressure sequence and the optimized pressure fluctuation sequence to obtain a pressure difference sequence. It then classifies the pressure difference sequence into processing levels to obtain a pressure difference processing level. If the pressure difference processing level is a preset first processing level, it updates the target pressure regulation parameter based on the pressure difference sequence to obtain an updated pressure regulation parameter. The updated pressure regulation parameter replaces the target pressure regulation parameter, and the process returns to the previous step of configuring the adaptive pressure regulating chamber's adjustment volume and damping valve based on the target pressure regulation parameter. If the pressure difference processing level is a preset second processing level, it generates a pressure relief instruction based on the pressure difference sequence and sends the pressure relief instruction to a pre-built user operation terminal.

10. The gas storage system based on pressure regulation as described in claim 9, characterized in that, The system includes a storage compartment, an adaptive voltage regulation compartment, a sensor cluster, and a processor; The storage compartment is used to store the target gas; The adaptive pressure regulating chamber includes an adjustable chamber body and a damping valve. The adjustable chamber body is used to depressurize or pressurize the storage chamber, and the damping valve is used to extend the time of the step of depressurizing or pressurizing the storage chamber. The sensor cluster is used to collect environmental parameters inside and outside the storage compartment, and to collect environmental parameters inside the adaptive pressure regulating compartment. The processor is used to adjust the adaptive pressure regulating chamber and damping valve according to the data collected by the sensor cluster, so as to maintain the gas pressure in the storage chamber within a preset range.

Images