A simulation method and electronic equipment for cooling carbon dioxide with liquid ammonia.

Abstract

This application relates to the field of equipment control technology, and provides a simulation method and electronic device for cooling carbon dioxide with liquid ammonia. The method includes: acquiring the operating parameters of a cavity containing carbon dioxide during the cooling process using liquid ammonia; if a first pressure value meets a preset feeding trigger condition, importing the operating parameters into a preset simulation model to determine the target position of the pressure-reducing piston within the cavity and the desired dosage of liquid ammonia; performing a feeding preparation operation; and after performing the feeding preparation operation, adding a preset capacity of carbon dioxide to the cavity to cool the added carbon dioxide. This method improves the stability and safety of the environment during feeding operations, and by detecting the first pressure value within the cavity, real-time feeding is achieved, improving the accuracy and timeliness of liquid carbon dioxide management.

Description

Technical Field

[0001] This application belongs to the field of equipment control technology, and in particular relates to a simulation method for cooling carbon dioxide with liquid ammonia and an electronic device. Background Technology

[0002] Liquid ammonia, as a commonly used coolant, is widely applied in various fields, such as in the production of liquid carbon dioxide by cooling carbon dioxide. However, due to the corrosive nature of liquid ammonia, frequent opening of the chamber to check the cooling progress not only affects the chamber's airtightness and cooling efficiency but also exposes the user to corrosion from ammonia compounds and ammonia gas produced during cooling, posing a safety risk. Therefore, current liquid carbon dioxide production processes lack effective production management, leading to delays in material feeding and impacting the efficiency of liquid carbon dioxide generation. Summary of the Invention

[0003] This application provides a simulation method and electronic device for cooling carbon dioxide with liquid ammonia, which can solve the problem that the existing liquid carbon dioxide production process cannot effectively manage the production, resulting in the inability to add materials in a timely manner and affecting the production efficiency of liquid carbon dioxide.

[0004] In a first aspect, embodiments of this application provide a simulation method for cooling carbon dioxide with liquid ammonia, applied to a control device in a carbon dioxide cooling system, the simulation method comprising:

[0005] During the process of cooling the cavity containing carbon dioxide with liquid ammonia, the operating parameters of the cavity are obtained; the operating parameters include: a first gas pressure value and a first temperature value of the liquid ammonia;

[0006] If the first pressure value meets the preset feeding trigger condition, the operating parameters are imported into the preset simulation model to determine the target position of the decompression piston in the cavity and the expected dose of the liquid ammonia; the target position is used to reduce the pressure in the cavity from the first pressure value to the preset second pressure value.

[0007] Perform the feeding preparation operation; the feeding preparation operation includes: controlling the pressure reducing piston to move to the target position, and adding the desired amount of liquid ammonia to the liquid ammonia storage tank while the fresh air channel is activated;

[0008] After performing the feeding preparation operation, a preset amount of carbon dioxide is added to the cavity to cool and lower the temperature of the added carbon dioxide.

[0009] In one possible implementation of the first aspect, before the step of importing the operating parameters into a preset simulation model to determine the target position of the decompression piston in the cavity and the desired dosage of the liquid ammonia if the first gas pressure value meets a preset feeding trigger condition, the method further includes:

[0010] Based on the historical cooling data of the cavity, the expected particle adhesion of the cavity is determined; the expected particle adhesion is the density of particles adhering to the inner wall of the cavity during the cooling process.

[0011] A three-dimensional structural model is generated based on the first structural data of the cavity, the second structural data of the liquid ammonia storage chamber, and the expected particle adhesion; the cavity is located inside the liquid ammonia storage chamber.

[0012] Based on the desired powder adhesion, determine the calibration cooling function corresponding to the three-dimensional structural model;

[0013] The simulation model is obtained based on the calibration cooling function and the three-dimensional structural model.

[0014] In one possible implementation of the first aspect, if the first gas pressure value meets a preset feeding trigger condition, then importing the operating parameters into a preset simulation model to determine the target position corresponding to the decompression piston in the cavity and the expected dosage corresponding to the liquid ammonia includes:

[0015] The first air pressure value is imported into the calibration cooling function to obtain the calibration cooling efficiency corresponding to the fulfillment of the feeding trigger condition; the calibration cooling function is specifically:

[0016]

[0017] Where, η down (P1) represents the calibrated cooling efficiency; Exρ represents the expected powder adhesion; Baseρ represents the preset standard powder density; η base P1 is the preset desired cooling efficiency; p is the first air pressure value; α is the standard atmospheric pressure; α is the preset angle calibration coefficient.

[0018] Calculate the efficiency difference between the calibrated cooling efficiency and the desired cooling efficiency, and determine the desired dose based on the remaining dose of liquid ammonia and the efficiency difference; the desired dose is used to adjust the cooling efficiency of the liquid ammonia storage tank.

[0019] The simulation model is imported based on the liquid carbon dioxide level obtained by cooling in the cavity and the current position of the decompression piston to simulate the expected gas pressure value corresponding to each candidate position of the decompression piston in the cavity.

[0020] Calculate the pressure deviation between each of the desired air pressure values ​​and the second air pressure value, and select the candidate position with the smallest pressure deviation as the target position.

[0021] In one possible implementation of the first aspect, generating a three-dimensional structural model based on the first structural data of the cavity, the second structural data of the liquid ammonia storage tank, and the expected particle adhesion includes:

[0022] Based on the expected particle adhesion and the adhesion distribution probability corresponding to the dry ice particles, a three-dimensional particle model is constructed; the adhesion distribution probability is specifically:

[0023]

[0024] Where Gra[i] is the probability distribution of the i-th particle size in the preset particle size distribution sequence; the particle size distribution sequence is obtained by sorting each particle size based on its volume; BaseGra is the average particle size of the particle size distribution sequence; σ is the preset probability calibration coefficient; and e is the natural constant.

[0025] Based on the first structural data, a three-dimensional cavity model corresponding to the cavity is generated, and the three-dimensional powder model is added to the inner wall of the three-dimensional cavity model to obtain a powder adhesion model.

[0026] Based on the second structural data, a three-dimensional storage chamber corresponding to the liquid ammonia storage chamber is generated, and the remaining dosage of liquid ammonia and the powder adhesion model are added to the three-dimensional storage chamber to obtain the three-dimensional structural model.

[0027] In one possible implementation of the first aspect, the performing the feeding preparation operation includes:

[0028] The adsorption component on the decompression piston is activated to perform a powder adsorption operation on the dry ice powder particles in the cavity.

[0029] During the process of the decompression piston moving to the target position, the powder adsorption operation is performed, and the adsorption component is closed when the decompression piston reaches the target position.

[0030] In one possible implementation of the first aspect, if the first gas pressure value meets a preset feeding trigger condition, then importing the operating parameters into a preset simulation model to determine the target position corresponding to the decompression piston in the cavity and the expected dosage corresponding to the liquid ammonia includes:

[0031] If the first air pressure value is greater than the preset feeding air pressure threshold, the remaining capacity of carbon dioxide is calculated based on the current position of the pressure reducing piston and the liquid level of the liquid carbon dioxide in the cavity.

[0032] If the remaining capacity is less than a preset capacity threshold, then a first abnormality message is generated;

[0033] If the remaining capacity is greater than or equal to the capacity threshold, the operating parameters are imported into a preset simulation model to determine the target position of the decompression piston in the cavity and the expected dose of the liquid ammonia.

[0034] In one possible implementation of the first aspect, after acquiring the operating parameters of the cavity during the cooling process of the cavity storing carbon dioxide using liquid ammonia, the method further includes:

[0035] Based on the first temperature value collected at multiple detection times, a temperature change curve corresponding to the liquid ammonia is constructed.

[0036] Calculate the area of ​​the curve deviation between the temperature change curve and the preset desired temperature curve;

[0037] If the area of ​​deviation of the curve is greater than the preset deviation threshold, then a second abnormality information corresponding to the liquid ammonia storage tank corresponding to the liquid ammonia is generated.

[0038] Secondly, embodiments of this application provide a simulation device for cooling carbon dioxide with liquid ammonia, the device comprising:

[0039] The data acquisition unit is used to acquire the operating parameters of the cavity during the process of cooling the cavity containing carbon dioxide with liquid ammonia; the operating parameters include: a first gas pressure value and a first temperature value of the liquid ammonia;

[0040] The parameter determination unit is used to import the operating parameters into a preset simulation model if the first gas pressure value meets the preset feeding trigger condition, and determine the target position corresponding to the decompression piston in the cavity and the expected dose corresponding to the liquid ammonia; the target position is used to reduce the gas pressure in the cavity from the first gas pressure value to a preset second gas pressure value;

[0041] A feeding preparation unit is used to perform a feeding preparation operation; the feeding preparation operation includes: controlling the pressure reducing piston to move to the target position, and adding liquid ammonia of the desired dosage to the liquid ammonia storage tank while the fresh air duct is activated;

[0042] The feeding execution unit is used to add a preset amount of carbon dioxide into the cavity after performing the feeding preparation operation, so as to cool down the added carbon dioxide.

[0043] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method as described in any of the first aspects above.

[0044] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any of the first aspects above.

[0045] Fifthly, embodiments of this application provide a computer program product that, when run on a drone, causes the drone to perform the method described in any one of the first aspects above.

[0046] The beneficial effects of this application embodiment compared with the prior art are as follows: By continuously monitoring the operating parameters inside the cooling carbon dioxide chamber during the cooling process using liquid ammonia, it is determined whether a feeding operation needs to be performed on the chamber. If the first gas pressure value among the above operating parameters meets the preset feeding trigger condition, the operating parameters can be imported into the simulation model to simulate the feeding operation and determine the relevant characteristic parameters when performing the feeding preparation operation before feeding. Based on the above characteristic parameters, the relevant components inside the chamber are controlled to perform the corresponding feeding preparation operation so that the environment inside the chamber can meet the conditions required for feeding, and then the feeding operation is performed on the chamber, thereby achieving the purpose of safe feeding. Compared with the existing liquid carbon dioxide generation technology, this application embodiment can determine the corresponding feeding preparation operation through the simulation model before the user performs the feeding operation on the carbon dioxide cooling chamber, thereby adjusting the chamber gas pressure and adding coolant (i.e., liquid ammonia) through the fresh air system, thereby improving the stability and safety of the environment during the feeding operation. By detecting the first gas pressure value inside the chamber, real-time feeding is achieved, improving the accuracy of liquid carbon dioxide management and the timeliness of feeding. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a schematic diagram of the structure of a carbon dioxide cooling system provided in an embodiment of this application;

[0049] Figure 2This is a schematic diagram illustrating the implementation of a simulation method for cooling carbon dioxide with liquid ammonia, as provided in an embodiment of this application.

[0050] Figure 3 This is a flowchart illustrating the specific implementation process before step S202 in a simulation method for cooling carbon dioxide with liquid ammonia provided in the second embodiment of this application.

[0051] Figure 4 This is a flowchart illustrating the specific implementation of a simulation method for cooling carbon dioxide with liquid ammonia provided in the third embodiment of this application in step S202.

[0052] Figure 5 This is a flowchart of the specific implementation of a simulation method for cooling carbon dioxide with liquid ammonia provided in the fourth embodiment of this application in S203;

[0053] Figure 6 This is a schematic diagram of the structure of a pressure-reducing piston provided in one embodiment of this application;

[0054] Figure 7 This is a flowchart of the specific implementation of a simulation method for cooling carbon dioxide with liquid ammonia provided in the fifth embodiment of this application in S202;

[0055] Figure 8 This is a flowchart illustrating the specific implementation of a simulation method for cooling carbon dioxide with liquid ammonia, provided in the sixth embodiment of this application, after step S201.

[0056] Figure 9 This is a schematic diagram of the structure of a simulation device for cooling carbon dioxide with liquid ammonia, provided in an embodiment of this application.

[0057] Figure 10 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0058] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0059] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0060] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0061] The simulation method for cooling carbon dioxide with liquid ammonia provided in this application embodiment can be applied to control equipment equipped with a carbon dioxide cooling system. For example, Figure 1 A schematic diagram of a carbon dioxide cooling system according to an embodiment of this application is shown. See also Figure 1 The carbon dioxide cooling system includes a control device 11 and a carbon dioxide cooling device 12. The control device 11 can establish communication connections with relevant components in the carbon dioxide cooling device 12. For example, the control device 11 can connect to the gas pressure detection module 121 in the carbon dioxide cooling device to obtain the gas pressure value in the carbon dioxide cooling chamber. The control terminal 11 can also connect to the pressure reducing piston 122 and the feeding module 123 in the carbon dioxide cooling device 12, thereby controlling the two modules to perform related operations, such as controlling the feeding module 123 to perform a feeding operation and controlling the pressure reducing piston 122 to move within the inner cavity. The carbon dioxide cooling device 12 also includes a liquid ammonia storage tank 124 for storing liquid ammonia, which is used to store the coolant, i.e., liquid ammonia, for cooling carbon dioxide.

[0062] Please see Figure 2 , Figure 2 This illustration shows a schematic diagram of a simulation method for cooling carbon dioxide with liquid ammonia according to an embodiment of this application. This simulation method is applied to the control device 11 described above; that is, the execution subject of this embodiment can be the control device 11. Specifically, the control device 11 is an electronic device, which can be a computer, laptop, server, or smartphone, etc. For ease of description, the execution subject will be described using a control terminal as an example. Specifically, the method includes the following steps:

[0063] In S201, during the process of cooling the cavity containing carbon dioxide with liquid ammonia, the operating parameters of the cavity are obtained; the operating parameters include: a first gas pressure value and a first temperature value of the liquid ammonia.

[0064] In this embodiment, since the electronic device can communicate with various electronic control components in the carbon dioxide cooling system (such as the pressure detection module and the pressure reducing piston mentioned above), it can receive the collected data fed back by the various electronic control components. For example, it can receive the first temperature value fed back by the temperature sensor deployed in the liquid ammonia storage chamber, and the first pressure value fed back by the pressure detection module deployed in the carbon dioxide cooling chamber.

[0065] In this embodiment, the carbon dioxide cooling system specifically uses liquid ammonia as a coolant to cool the carbon dioxide in the chamber, thereby liquefying the gaseous carbon dioxide into liquid carbon dioxide. During the cooling process, the aforementioned pressure-reducing piston is in a freely movable state. As the carbon dioxide in the chamber gradually decreases during cooling, the pressure inside the chamber decreases. Because the pressure-reducing piston is freely movable, the external pressure gradually becomes higher than the pressure inside the chamber. To maintain pressure balance, the movable pressure-reducing piston gradually moves towards the liquid carbon dioxide surface, thus changing the real-time pressure inside the chamber. To detect whether the current pressure inside the chamber is normal, a pressure detection module can collect the first pressure value inside the chamber. If the first pressure value is too low, for example, if there is not enough carbon dioxide to be converted into liquid carbon dioxide, it indicates that a feeding operation is needed inside the chamber. Therefore, collecting the first pressure value of the chamber serves as a reference to determine whether a feeding process needs to be triggered.

[0066] In this embodiment, since the cooling process of the cavity relies on liquid ammonia as a coolant, in order to detect whether coolant needs to be added, the electronic device can also collect the temperature value in the liquid ammonia storage chamber, i.e. the first temperature value mentioned above, through a temperature sensor, so as to achieve the purpose of adding coolant in a timely manner.

[0067] In S202, if the first pressure value meets the preset feeding trigger condition, the operating parameters are imported into the preset simulation model to determine the target position of the decompression piston in the cavity and the expected dose of the liquid ammonia; the target position is used to reduce the pressure in the cavity from the first pressure value to the preset second pressure value.

[0068] In this embodiment, the electronic device can be set with a feeding trigger condition, and the collected first gas pressure value is matched with the feeding trigger condition. If the first gas pressure value is detected to meet the feeding trigger condition, it means that the remaining carbon dioxide in the cavity is insufficient and feeding operation needs to be performed in the cavity. Conversely, if the first gas pressure value is detected to not meet the feeding trigger condition, it means that the remaining carbon dioxide in the cavity is sufficient and feeding operation is not required. The gas pressure value in the cavity and the first temperature value of the liquid ammonia in the liquid ammonia storage chamber can continue to be collected.

[0069] In some possible implementations, the aforementioned feeding trigger condition can be a pressure threshold, which can be determined based on the external air pressure of the cavity. This pressure threshold can be obtained by a pressure detection module located outside the cavity. Since the difference between the air pressure inside and outside the cavity will be within a preset range when no feeding is required, if a first air pressure value is detected to be greater than the aforementioned pressure threshold, and the difference between the first and second air pressure thresholds is outside the aforementioned range, it is identified that there is insufficient carbon dioxide in the cavity, and the feeding process needs to be triggered.

[0070] In this embodiment, the electronic device can construct a corresponding simulation model based on the structural parameters of the two components: the chamber for cooling carbon dioxide and the external liquid ammonia storage chamber for storing coolant. In order to improve the safety of the feeding process, avoid contamination of the cooling scene by liquid ammonia by its byproducts, and ensure feeding safety, the electronic device can simulate the previous feeding and cooling process through the above simulation model, that is, determine the total amount of byproducts formed in the current liquid ammonia storage chamber due to the temperature rise of liquid ammonia and the space that needs to be reserved during feeding, that is, determine the above target position.

[0071] In this embodiment, since the coolant will gradually heat up when cooling carbon dioxide, and since the liquid ammonia may produce ammonia or other ammonia compounds when heated, the electronic device can also replenish the coolant in a timely manner. Therefore, the required dose of coolant to be added, i.e. the above-mentioned desired dose, can be determined by collecting the first temperature value of the liquid ammonia.

[0072] In S203, a feeding preparation operation is performed; the feeding preparation operation includes: controlling the depressurization piston to move to the target position, and adding the desired amount of liquid ammonia to the liquid ammonia storage chamber while the fresh air channel is activated.

[0073] In this embodiment, by using a simulation model within the electronic device to determine the target position of the depressurization piston when adding carbon dioxide to the cavity, and to determine the required dosage of coolant, a feeding preparation operation can be performed within the cavity. This includes providing sufficient space to accommodate the added carbon dioxide and adding the corresponding dosage of coolant. Therefore, the electronic device can control the depressurization piston to move to the aforementioned target position, which not only reduces the gas pressure within the cavity, thus ensuring smooth gas flow during subsequent feeding, but also reserves sufficient storage space to accommodate the added gas.

[0074] In this embodiment, during the cooling process of carbon dioxide, liquid ammonia will produce ammonia gas and other ammonia compounds. Therefore, in order to avoid contamination of the cooling system by the above substances, the electronic device starts the fresh air system to discharge the above substances from the liquid ammonia storage chamber, and after the above substances are discharged, the desired amount of liquid ammonia is added to the liquid ammonia storage chamber to achieve the purpose of adding coolant.

[0075] In S204, after performing the feeding preparation operation, a preset amount of carbon dioxide is added to the cavity to cool down the added carbon dioxide.

[0076] In this embodiment, a feeding component can be provided inside the cavity. After the above-mentioned feeding preparation operation is completed, the feeding port of the feeding component can be opened to deliver carbon dioxide into the cavity. During the process of adding carbon dioxide into the cavity, the gas pressure value inside the cavity can be continuously detected. When the gas pressure value is detected to reach a preset gas pressure threshold, the feeding is identified as complete, the feeding port is closed, and the carbon dioxide inside the cavity continues to be cooled down.

[0077] As can be seen from the above, the simulation method for cooling carbon dioxide with liquid ammonia provided in this application continuously monitors the operating parameters inside the cooling chamber during the cooling process of carbon dioxide using liquid ammonia to determine whether a feeding operation needs to be performed on the chamber. If the first pressure value among the above operating parameters is detected to meet the preset feeding trigger condition, the operating parameters can be imported into the simulation model to simulate the feeding operation and determine the relevant characteristic parameters for the feeding preparation operation before feeding. Based on the above characteristic parameters, the relevant components inside the chamber are controlled to perform the corresponding feeding preparation operation so that the environment inside the chamber can meet the conditions required for feeding, and then the feeding operation is performed on the chamber, thereby achieving the purpose of safe feeding. Compared with the existing liquid carbon dioxide generation technology, this application embodiment can determine the corresponding feeding preparation operation through the simulation model before the user performs the feeding operation on the carbon dioxide cooling chamber, thereby adjusting the chamber pressure and adding coolant (i.e., liquid ammonia) through the fresh air system, thereby improving the stability and safety of the environment during the feeding operation. By detecting the first pressure value inside the chamber, real-time feeding is achieved, improving the accuracy of liquid carbon dioxide management and the timeliness of feeding.

[0078] Figure 3 This diagram illustrates the specific implementation flowchart before step S202 in a simulation method for cooling carbon dioxide with liquid ammonia according to the second embodiment of this application. See also... Figure 3 As shown, relative to Figure 2 In the embodiment described above, the simulation method for cooling carbon dioxide with liquid ammonia provided in this application includes steps S301 to S304 before step S202, as specifically described below:

[0079] In S301, based on the historical cooling data of the cavity, the expected particle adhesion of the cavity is determined; the expected particle adhesion is the particle density adhering to the inner wall of the cavity during the cooling process.

[0080] In this embodiment, since the carbon dioxide inside the cavity is cooled by liquid ammonia surrounding it, the temperature on the inner wall of the cavity is relatively low, thus cooling the carbon dioxide near the inner wall into liquid carbon dioxide. However, due to the low temperature of the liquid ammonia, dry ice particles may appear on the inner wall of the cavity, affecting heat transfer and thus the internal cooling efficiency. To improve the accuracy of subsequent simulations, the electronic device can collect usage data, namely the aforementioned historical refrigeration data, during the operation of the carbon dioxide cooling system.

[0081] In some possible implementations, the aforementioned historical refrigeration data may include historical cooling variation curves, historical productivity, historical dry ice dust weight, and other data. The electronic equipment can determine, based on the aforementioned historical dry ice dust weight, the specific proportion of dry ice particles converted from the total amount of carbon dioxide added each time, thereby determining the historical dry ice powder weight based on this proportion.

[0082] In this embodiment, the electronic device can determine the aforementioned powder adhesion expectation based on the powder weight of historical dry ice powder in the aforementioned historical refrigeration data. Specifically, the powder adhesion expectation can be calculated by: determining a proportionality coefficient based on the ratio between the actual total amount of carbon dioxide and the average total amount, and then weighting the aforementioned historical dry ice powder weight according to the proportionality coefficient, thereby calculating the aforementioned powder adhesion expectation.

[0083] In S302, a three-dimensional structural model is generated based on the first structural data of the cavity, the second structural data of the liquid ammonia storage chamber, and the expected particle adhesion; the cavity is located inside the liquid ammonia storage chamber.

[0084] In this embodiment, in order to improve the accuracy of the simulation model, the electronic device needs to acquire the structural data of relevant hardware components, including the first structural data of the cavity for storing carbon dioxide and cooled liquid carbon dioxide, and the second structural data of the liquid ammonia storage tank for storing coolant.

[0085] In this embodiment, since the dry ice powder particles attached to the cavity will affect its cooling efficiency, in order to further improve the simulation effect and improve the accuracy of the feeding operation, after the electronic device constructs the three-dimensional models corresponding to the above two hardware components, it can also add the powder particle model corresponding to the dry ice powder particles to the three-dimensional cavity model corresponding to the cavity according to the powder particle attachment expectation, thereby combining the above three to construct a three-dimensional model to obtain the three-dimensional structural model corresponding to the dry ice cooling system.

[0086] In some possible implementations, the electronic device can determine the first structural data based on the model of the carbon dioxide cooling chamber. Similarly, the electronic device can also determine the second structural data based on the model of the liquid ammonia storage chamber. The appropriate method for obtaining the structural data can be selected according to the actual situation, and is not limited here.

[0087] Furthermore, as another embodiment of this application, the above-described S302 may specifically include the following steps:

[0088] In S302.1, a three-dimensional powder model is constructed based on the expected powder adhesion and the adhesion distribution probability corresponding to the dry ice powder; the adhesion distribution probability is specifically:

[0089]

[0090] Where Gra[i] is the distribution probability corresponding to the i-th particle size in the preset particle size distribution sequence; the particle size distribution sequence is obtained by sorting each particle size based on the volume size; BaseGra is the average particle size of the particle size distribution sequence; σ is the preset probability calibration coefficient; and e is the natural constant.

[0091] In this embodiment, the electronic device can obtain information on the powder particles generated in the internal cavity during the process of generating liquid carbon dioxide through liquid ammonia cooling using big data statistics. By collecting a large amount of powder particle information from the manufacturing process, the upper and lower limits of the particle size can be determined. The electronic device can also perform big data analysis on the powder particle information from the historical production process to determine the particle size of multiple powder particles, thereby obtaining a particle size distribution sequence of dry ice powder. The elements in this sequence are arranged according to particle size. That is, the first element in the particle size distribution sequence is the lower limit of the powder particle size, the last element is the upper limit of the powder particle size, and the other elements are particle sizes determined based on the powder particle information from the historical production process.

[0092] In this embodiment, the electronic device can determine the current inner wall height of the cavity based on the real-time position of the decompression piston and the liquid level. Since the dry ice powder particles are uniformly distributed within the inner wall, the electronic device can determine the total amount of dry ice powder particles dispersed on the inner wall of the cavity by calculating the product of the inner wall area corresponding to the aforementioned inner wall height and the powder density.

[0093] In this embodiment, the electronic device can calculate the number of powder particles corresponding to each particle size under a preset total powder volume using the aforementioned adhesion distribution probability. Specifically, the total powder volume is TotalNum, and the distribution probability corresponding to the i-th particle size is Gra[i]. Therefore, the number of powder particles corresponding to this particle size is: Num[i] = TotalNum * Gra[i]. The electronic device can calculate the number of powder particles corresponding to each particle size in the above manner. After determining the number of powder particles corresponding to each particle size, the electronic device can obtain the corresponding dry ice particle size distribution information.

[0094] In S302.2, a three-dimensional cavity model corresponding to the cavity is generated based on the first structural data, and the three-dimensional powder model is added to the inner wall of the three-dimensional cavity model to obtain a powder adhesion model.

[0095] In this embodiment, after determining the distribution probability of dry ice powder particles corresponding to each particle size, the electronic device can calculate the inner wall area based on the determined inner wall height, and calculate the total number of dry ice powder particles corresponding to each particle size based on the inner wall area and the distribution probability corresponding to each particle size. Then, it uniformly distributes the number of powder particle models corresponding to the total number of powder particles in the three-dimensional cavity model, thereby using the three-dimensional cavity model after distributing the powder particle models corresponding to all particle sizes as the powder attachment model.

[0096] In S302.3, a three-dimensional storage chamber corresponding to the liquid ammonia storage chamber is generated based on the second structural data, and the remaining dosage of liquid ammonia and the powder adhesion model are added to the three-dimensional storage chamber to obtain the three-dimensional structural model.

[0097] In this embodiment, the electronic device can generate a corresponding three-dimensional storage chamber based on the second structural data corresponding to the liquid ammonia storage chamber, such as its size and material data. The powder attachment model with added dry ice particles is then added to this three-dimensional storage chamber, and a corresponding dose of coolant, i.e., liquid ammonia, is added to it, thereby obtaining a three-dimensional structural model corresponding to the carbon dioxide cooling system. Optionally, when adding liquid ammonia to the simulation model, the temperature value of the liquid ammonia in the model can be determined based on a first temperature value, thereby making the simulation model more closely match the actual situation and improving the accuracy of subsequent simulations.

[0098] In this embodiment of the application, the electronic device calculates the probability corresponding to each particle size of dry ice powder, thereby simulating the adhesion of dry ice powder particles on the inner wall of the cavity in an actual cooling scenario, thus improving the accuracy of the simulation.

[0099] In S303, the calibration cooling function corresponding to the three-dimensional structural model is determined based on the expected powder adhesion.

[0100] In this embodiment, since dry ice powder adheres to the inner wall, it affects the cooling effect of the internal carbon dioxide; that is, the actual cooling efficiency will decrease due to the adhesion of dry ice powder. To determine the degree to which the cooling efficiency is affected by dry ice powder, after calculating the expected powder adhesion, the electronic device can statistically analyze the powder density corresponding to the dry ice powder and the correlation between powder density and heat absorption efficiency to determine the corresponding influence coefficient. Subtracting the influence coefficient from the rated cooling efficiency yields the aforementioned calibrated cooling function. The correlation between powder density and heat absorption efficiency can be obtained experimentally. Specific experimental measurement methods can be implemented using existing methods and are not limited here.

[0101] In S304, the simulation model is obtained based on the calibration cooling function and the three-dimensional structural model.

[0102] In this embodiment, the electronic device can perform scene simulation of the carbon dioxide cooling system based on the three-dimensional structural model, and simulate heat transfer by the expected cooling efficiency. Combining the above two aspects, a simulation model of the carbon dioxide cooling process can be obtained, which improves the accuracy of the simulation model in terms of both model structure and heat conduction, thereby improving the accuracy of subsequent operation execution.

[0103] Figure 4 This diagram illustrates the specific implementation flowchart in step S202 of a simulation method for cooling carbon dioxide with liquid ammonia according to the third embodiment of this application. See also... Figure 4 As shown, relative to Figure 3 In the embodiment provided in this application, the simulation method for cooling carbon dioxide with liquid ammonia includes S2021 to S2024 in step S202, which are described in detail below:

[0104] In S2021, the first air pressure value is imported into the calibration cooling function to obtain the calibration cooling efficiency corresponding to the fulfillment of the feeding trigger condition; the calibration cooling function is specifically:

[0105]

[0106] Where, η down(P1) represents the calibrated cooling efficiency; Exρ represents the expected powder adhesion; Baseρ represents the preset standard powder density; η base P1 is the preset desired cooling efficiency; P1 is the first air pressure value; p is the standard atmospheric pressure; α is the preset angle calibration coefficient.

[0107] In this embodiment, the gas pressure within the cavity can be used to determine the gas density within the cavity; the higher the gas density, the higher the corresponding gas pressure. Correspondingly, the higher the gas density within the cavity, the better the heat transfer effect. Therefore, the corresponding heat transfer effect will vary under different gas pressure values. After constructing the conversion function corresponding to the desired thermal cooling efficiency within the cavity through a simulation model, the first gas pressure value collected during the actual cooling process can be imported into the aforementioned calibration cooling function to calculate the corresponding calibration cooling efficiency under the aforementioned first gas pressure value scenario. The larger the difference between the gas pressure value and the standard atmospheric pressure, the higher the gas density in the current scenario, and therefore the better the heat transfer effect, resulting in a higher cooling efficiency value. Conversely, if the two are closer, or if the first gas pressure value is less than the standard atmospheric pressure, the corresponding cooling efficiency is lower. Therefore, the aforementioned cooling efficiency can be adjusted based on the difference between the first gas pressure value and the standard atmospheric pressure.

[0108] In S2022, the efficiency difference between the calibrated cooling efficiency and the desired cooling efficiency is calculated, and the desired dose is determined based on the remaining dose of liquid ammonia and the efficiency difference; the desired dose is used to adjust the cooling efficiency of the liquid ammonia storage tank.

[0109] In this embodiment, after calculating the corresponding calibrated cooling efficiency within the cavity, the electronic device can determine the efficiency difference between it and the desired cooling efficiency. Since the efficiency difference may be due to insufficient coolant or the presence of dry ice particles adhering to the inner wall of the cavity, in order to balance the impact of the reduced cooling efficiency on liquid carbon dioxide production, the electronic device can adjust the dosage of coolant to adjust the deviation between the calibrated cooling efficiency and the desired cooling efficiency.

[0110] In some possible implementations, the electronic device can calculate the correspondence between the efficiency difference and the coolant dosage. After calculating the efficiency difference, the electronic device can determine the dosage adjustment value through the above correspondence, and determine the expected dosage of coolant (i.e., liquid ammonia) to be added this time based on the remaining dosage of liquid ammonia and the above adjustment value.

[0111] In S2023, the simulation model is imported based on the liquid carbon dioxide level obtained by cooling in the cavity and the current position of the decompression piston, and the desired gas pressure value corresponding to each candidate position of the decompression piston in the cavity is simulated.

[0112] In this embodiment, the electronic device can also import the simulation model constructed above based on the liquid level of the generated liquid carbon dioxide and the current position of the decompression piston, thereby constructing a corresponding liquid model and adjusting the position of the piston model within the simulation model, so that the internal environment of the simulation model is consistent with the actual production scenario.

[0113] In this embodiment, the electronic device can determine the pressure change inside the cavity by changing the position of the pressure-reducing piston, thereby determining the expected pressure value corresponding to the movement of the pressure-reducing piston from its current position to different candidate positions. The initial pressure value of the pressure-reducing piston is the first pressure value mentioned above.

[0114] In S2024, the pressure deviation between each of the desired air pressure values ​​and the second air pressure value is calculated, and the candidate position with the smallest pressure deviation is selected as the target position.

[0115] In this embodiment, after determining the desired gas pressure value corresponding to different candidate positions, the electronic device can calculate the gas pressure deviation between each desired gas pressure value and the preset second gas pressure value. Since the electronic device can set a corresponding target gas pressure, namely the second gas pressure value mentioned above, in order to improve the flow of carbon dioxide to the cavity more quickly during feeding, the electronic device can set a corresponding target gas pressure. Therefore, by determining the desired gas pressure corresponding to different candidate positions, the candidate position closest to the second gas pressure value can be determined, and the candidate position can be used as the target position for the pressure reducing piston to move.

[0116] In this embodiment of the application, the electronic device can import the collected first air pressure value and the current position of the decompression piston into the simulation model, thereby determining the corresponding expected dose and the corresponding target position, thereby improving the accuracy of the simulation.

[0117] Figure 5 The flowchart illustrating the specific implementation of a simulation method for cooling carbon dioxide with liquid ammonia according to the fourth embodiment of this application in step S203 is shown. See also... Figure 5 In contrast Figure 2 In the embodiment described above, the simulation method for cooling carbon dioxide with liquid ammonia provided in this embodiment includes S2031 to S2032 in step S203, which are detailed below:

[0118] Furthermore, the outer surface of the decompression piston is provided with an adsorption component; the adsorption component includes a blocking layer, a filtering layer, and a receiving layer; the filtering layer includes multiple filter screens; the pore size of each filter screen corresponds to one of the particle sizes in the particle size distribution sequence.

[0119] For example, Figure 6 A schematic diagram of the pressure-reducing piston according to an embodiment of this application is shown. See also Figure 6 As shown, the depressurization piston 61 can move within the inner cavity 60 of the dry ice manufacturing equipment, thereby adjusting the air pressure within the cavity to facilitate the addition of carbon dioxide during subsequent feeding. The depressurization piston includes an adsorption component 62 located at its head. The adsorption component 62 includes a barrier layer 621, a filter layer 622, and a collection layer 623. The barrier layer 621 is positioned in front of the adsorption component 62. When dry ice particles are not needed to be adsorbed by the adsorption component 62, the barrier layer 621 is in a closed state, meaning the dry ice particles are blocked by the barrier layer 621 and cannot contact the filter layer 622 or the collection layer 623, thus preventing filtration and adsorption.

[0120] When the electronic device needs to adsorb dry ice powder particles through the adsorption component 62, the barrier layer 621 can be in the open state, allowing the dry ice powder particles to be adsorbed through the filter layer 622 and the storage layer 623. It should be noted that when the barrier layer 621 is closed, the filter layer 622 and the storage layer 623 are in a vacuum state. Therefore, after the barrier layer 621 is opened, due to the pressure difference, the dry ice powder particles adhering to the inner wall can actively move towards the filter layer 622 and the storage layer 623 in the adsorption component 62, where the pressure is lower, thereby achieving the purpose of adsorbing the dry ice powder particles through the adsorption component 62.

[0121] In this embodiment, the filter layer 622 includes multiple filter screens, each corresponding to a particle size in a particle size distribution sequence. These screens separate dry ice powder particles of different sizes, enabling subsequent reduction processing. The filter screens are arranged in descending order of particle size, with the largest particle size screen positioned at the front and the smallest at the back, ensuring that dry ice powder particles of different sizes are separated in decreasing order.

[0122] The filter screen on the aforementioned filter layer 622 can heat the adsorbed dry ice, thereby accelerating its reduction to liquid carbon dioxide. The liquefied carbon dioxide can be stored in the aforementioned storage layer 623. Specifically, the adsorption process of the aforementioned adsorption component for dry ice particles operates as follows:

[0123] In S2031, the adsorption component on the decompression piston is activated to perform a powder adsorption operation on the dry ice powder particles in the cavity.

[0124] In S2032, during the process of the depressurization piston moving to the target position, a powder adsorption operation is performed, and the adsorption component is closed when the depressurization piston reaches the target position.

[0125] In this embodiment, during the process of moving the decompression piston to the target position, the blocking layer in the adsorption component is activated so that the dry ice powder particles in the inner cavity are adsorbed into the storage layer through the filter layer.

[0126] In this embodiment, the aforementioned barrier layer is in a closed state before the material preparation operation is performed, meaning that dry ice powder particles cannot contact the filter layer and the storage layer. When it is necessary to adsorb dry ice powder particles, the aforementioned barrier layer can be opened to allow the dry ice powder particles to come into contact with the filter layer. Since the filter layer contains filter screens corresponding to different particle sizes, dry ice powder particles of different sizes can be separated. Furthermore, the filter screens are equipped with heating elements, which can increase the temperature of the dry ice powder particles attached to the filter screens, thereby reducing large-sized dry ice powder particles to small-sized dry ice powder particles, which then move through the filter screens to the next filter screen, and so on, until they move to the storage layer.

[0127] In this embodiment, when the decompression piston is pushed to the target position, the blocking layer is closed and the storage layer is depressurized to reduce the dry ice powder particles in the storage layer to liquid carbon dioxide.

[0128] In this embodiment, the electronic device can control the depressurization piston to advance from its current position to a preset feeding trigger position. When the feeding trigger position is reached, the aforementioned blocking layer is opened, thereby isolating the inner cavity from the storage layer and filter layer of the adsorption component again, and depressurizing the aforementioned area, i.e., increasing the air pressure in the area, so as to reduce the dry ice powder particles into liquid carbon dioxide. The depressurization air pressure value can be set according to the actual situation, specifically the pressure value corresponding to reducing the dry ice powder particles into liquid carbon dioxide.

[0129] In some possible implementations, the electronic device can also deliver liquid carbon dioxide corresponding to the calibration feed value through the feed port, and simultaneously deliver the liquid carbon dioxide obtained from the reduction of dry ice powder in the storage layer to the inner cavity, thereby enabling the reuse of dry ice powder, improving the safety of dry ice manufacturing and the utilization rate of raw materials.

[0130] In this embodiment, the dry ice powder particles on the inner wall can be adsorbed by the adsorption component, thereby reducing the impact of the dry ice powder particles on subsequent cooling and thus improving the production efficiency of liquid carbon dioxide.

[0131] Figure 7 A flowchart illustrating the specific implementation of a simulation method for cooling carbon dioxide with liquid ammonia according to the fifth embodiment of this application in step S202 is shown. See also... Figure 7 In contrast Figure 2-6 In any of the embodiments described above, the simulation method for cooling carbon dioxide with liquid ammonia provided in this embodiment includes S701 to S703 in step S202, which are detailed below:

[0132] In S701, if the first air pressure value is greater than the preset feeding air pressure threshold, the remaining capacity of carbon dioxide is calculated based on the current position of the decompression piston and the liquid level of the liquid carbon dioxide in the cavity.

[0133] In this embodiment, the electronic device can detect the air pressure value inside the cavity in real time, namely the first air pressure value mentioned above. If the first air pressure value is less than or equal to the preset feeding air pressure threshold, it means that there is still convertible carbon dioxide inside the cavity, and there is no need to perform the feeding operation. The air pressure value can continue to be detected. Conversely, if the first air pressure value is greater than the preset feeding air pressure threshold, the trigger identification process can be executed, and the liquid level height corresponding to the liquid carbon dioxide already generated in the cavity can be determined by the liquid level sensing module.

[0134] In this embodiment, the electronic device can also calculate the remaining capacity of the cooled carbon dioxide in the cavity based on the first gas pressure value, the liquid level, and the current position of the decompression piston.

[0135] In this embodiment, the electronic device can identify the current liquid level and determine the volume of liquid carbon dioxide produced. The electronic device can then determine a capacity threshold based on the difference between the desired production volume and the existing liquid volume.

[0136] In S702, if the remaining capacity is less than a preset capacity threshold, a first abnormality message is generated.

[0137] In this embodiment, if the electronic device detects that the remaining capacity is less than a preset capacity threshold, it may be due to air leakage in the cavity, which prevents the production of the corresponding capacity of liquid carbon dioxide. At this time, the corresponding first abnormal information can be generated to prompt the user that there is an abnormality inside the cavity.

[0138] In S703, if the remaining capacity is greater than or equal to the capacity threshold, the operating parameters are imported into a preset simulation model to determine the target position of the decompression piston in the cavity and the expected dose of the liquid ammonia.

[0139] In this embodiment, if the electronic device detects that the remaining capacity is greater than or equal to the preset capacity threshold, it indicates that there is no abnormality inside the cavity. It is because the raw material is insufficient and a feeding operation is required. Therefore, the relevant parameter determination operation can be performed through the simulation model.

[0140] In this embodiment of the application, the relationship between the remaining capacity and the capacity threshold can be calculated to identify whether there is an anomaly inside the cavity, thereby improving the efficiency of anomaly identification.

[0141] Figure 8 This diagram illustrates the specific implementation flowchart of a simulation method for cooling carbon dioxide with liquid ammonia according to the sixth embodiment of this application, following step S201. See also... Figure 8 In contrast Figure 2-6 In any of the embodiments described above, the simulation method for cooling carbon dioxide with liquid ammonia provided in this embodiment further includes, after S201, S801 to S803, as detailed below:

[0142] In S801, a temperature change curve corresponding to the liquid ammonia is constructed based on the first temperature value collected at multiple detection times.

[0143] In S802, the area of ​​the curve deviation between the temperature change curve and the preset desired temperature curve is calculated;

[0144] In S803, if the area of ​​the curve deviation is greater than a preset deviation threshold, then a second abnormality information corresponding to the liquid ammonia storage tank corresponding to the liquid ammonia is generated.

[0145] In this embodiment, the electronic device can continuously monitor the temperature value of liquid ammonia, i.e., the aforementioned first temperature value, and generate a temperature change curve corresponding to liquid ammonia based on the first temperature values ​​obtained at multiple acquisition times. Since the temperature change of liquid ammonia will be similar to the expected curve in a scenario where there is no gas leakage or temperature leakage in the liquid ammonia storage chamber, the deviation area between the temperature change curve and the preset expected temperature curve, i.e., the aforementioned curve deviation area, can be used to determine whether there is an anomaly in the liquid ammonia storage chamber. If the aforementioned curve deviation area is less than a preset deviation threshold, the liquid ammonia storage chamber is not identified as abnormal; conversely, if it is detected to be greater than the preset deviation threshold, a second anomaly message is generated to indicate that there is an anomaly in the liquid ammonia storage chamber, thereby improving the efficiency of anomaly identification.

[0146] In this embodiment, Figure 9 This application provides a structural block diagram of a simulation device for cooling carbon dioxide with liquid ammonia, according to an embodiment of the present application. The simulation device includes units for performing various operations. Figure 2 The steps implemented by the first device in the corresponding embodiment are described in detail. Figure 2 and Figure 2 The relevant descriptions in the corresponding embodiments are shown below. For ease of explanation, only the parts relevant to this embodiment are shown.

[0147] See Figure 9 A simulation device for cooling carbon dioxide with liquid ammonia includes:

[0148] The data acquisition unit 91 is used to acquire the operating parameters of the cavity during the process of cooling the cavity containing carbon dioxide with liquid ammonia; the operating parameters include: a first gas pressure value and a first temperature value of the liquid ammonia;

[0149] The parameter determination unit 92 is used to import the operating parameters into a preset simulation model if the first pressure value meets the preset feeding trigger condition, and determine the target position corresponding to the decompression piston in the cavity and the expected dose corresponding to the liquid ammonia; the target position is used to reduce the pressure in the cavity from the first pressure value to a preset second pressure value.

[0150] The feeding preparation unit 93 is used to perform the feeding preparation operation; the feeding preparation operation includes: controlling the pressure reducing piston to move to the target position, and adding the desired amount of liquid ammonia to the liquid ammonia storage tank while the fresh air channel is activated;

[0151] The feeding execution unit 94 is used to add a preset amount of carbon dioxide into the cavity after performing the feeding preparation operation, so as to cool down the added carbon dioxide.

[0152] It should be understood that, Figure 9 In the structural block diagram of the device shown, each module is used to perform... Figures 2 to 8 The steps in the corresponding embodiments, and for Figures 2 to 8 The steps in the corresponding embodiments have been explained in detail in the above embodiments. Please refer to them for details. Figures 2 to 8 as well as Figures 2 to 8 The relevant descriptions in the corresponding embodiments will not be repeated here.

[0153] Figure 10 This is a structural block diagram of an electronic device provided in another embodiment of this application. For example... Figure 10 The electronic device 1000 of this embodiment includes a processor 1010, a memory 1020, and a computer program 1030 stored in the memory 1020 and executable on the processor 1010, such as a program for simulating a method of cooling carbon dioxide with liquid ammonia. When the processor 1010 executes the computer program 1030, it implements the steps of each embodiment of the simulation method of cooling carbon dioxide with liquid ammonia described above, for example... Figure 2 S201 to S204 are described above. Alternatively, the processor 1010 may implement the above when executing the computer program 1030. Figure 9 The functions of each module in the corresponding embodiments, for example, Figure 9 For details regarding the functions of units 91 to 94, please refer to [link / reference needed]. Figure 9 The relevant descriptions in the corresponding embodiments.

[0154] For example, computer program 1030 may be divided into one or more modules, one or more of which are stored in memory 1020 and executed by processor 1010 to complete this application. One or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of computer program 1030 in electronic device 1000. For example, computer program 1030 may be divided into various unit modules, each with the specific functions described above.

[0155] Electronic device 1000 may include, but is not limited to, processor 1010 and memory 1020. Those skilled in the art will understand that... Figure 10 This is merely an example of electronic device 1000 and does not constitute a limitation on electronic device 1000. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device may also include input / output devices, network access devices, buses, etc.

[0156] The processor 1010 may be a central processing unit, or it may be other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0157] The memory 1020 can be an internal storage unit of the electronic device 1000, such as a hard disk or memory of the electronic device 1000. The memory 1020 can also be an external storage device of the electronic device 1000, such as a plug-in hard disk, smart memory card, flash memory card, etc. equipped on the electronic device 1000. Furthermore, the memory 1020 can include both internal storage units and external storage devices of the electronic device 1000.

[0158] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A simulation method for cooling carbon dioxide with liquid ammonia, characterized in that, A control device applied in a carbon dioxide cooling system, wherein the simulation method includes: During the process of cooling the cavity containing carbon dioxide with liquid ammonia, the operating parameters of the cavity are obtained; the operating parameters include: a first gas pressure value and a first temperature value of the liquid ammonia; If the first pressure value meets the preset feeding trigger condition, the operating parameters are imported into the preset simulation model to determine the target position of the decompression piston in the cavity and the expected dose of the liquid ammonia; the target position is used to reduce the pressure in the cavity from the first pressure value to the preset second pressure value. Perform the feeding preparation operation; the feeding preparation operation includes: controlling the pressure reducing piston to move to the target position, and adding the desired amount of liquid ammonia to the liquid ammonia storage tank while the fresh air channel is activated; After performing the feeding preparation operation, a preset amount of carbon dioxide is added to the cavity to cool and lower the temperature of the added carbon dioxide.

2. The simulation method according to claim 1, characterized in that, Before importing the operating parameters into a preset simulation model to determine the target position of the decompression piston in the cavity and the expected dosage of the liquid ammonia if the first gas pressure value meets the preset feeding trigger condition, the method further includes: Based on the historical cooling data of the cavity, the expected particle adhesion of the cavity is determined; the expected particle adhesion is the density of particles adhering to the inner wall of the cavity during the cooling process. A three-dimensional structural model is generated based on the first structural data of the cavity, the second structural data of the liquid ammonia storage chamber, and the expected particle adhesion; the cavity is located inside the liquid ammonia storage chamber. Based on the desired powder adhesion, determine the calibration cooling function corresponding to the three-dimensional structural model; The simulation model is obtained based on the calibration cooling function and the three-dimensional structural model.

3. The simulation method according to claim 2, characterized in that, If the first gas pressure value meets the preset feeding trigger condition, the operating parameters are imported into the preset simulation model to determine the target position of the decompression piston in the cavity and the expected dosage of the liquid ammonia, including: The first air pressure value is imported into the calibration cooling function to obtain the calibration cooling efficiency corresponding to the fulfillment of the feeding trigger condition; the calibration cooling function is specifically: Where, η down (P1) represents the calibrated cooling efficiency; Exρ represents the expected powder adhesion; Baseρ represents the preset standard powder density; η base P1 is the preset desired cooling efficiency; p is the first air pressure value; α is the standard atmospheric pressure; α is the preset angle calibration coefficient. Calculate the efficiency difference between the calibrated cooling efficiency and the desired cooling efficiency, and determine the desired dose based on the remaining dose of liquid ammonia and the efficiency difference; the desired dose is used to adjust the cooling efficiency of the liquid ammonia storage tank. The simulation model is imported based on the liquid carbon dioxide level obtained by cooling in the cavity and the current position of the decompression piston to simulate the expected gas pressure value corresponding to each candidate position of the decompression piston in the cavity. Calculate the pressure deviation between each of the desired air pressure values ​​and the second air pressure value, and select the candidate position with the smallest pressure deviation as the target position.

4. The simulation method according to claim 2, characterized in that, The generation of a three-dimensional structural model based on the first structural data of the cavity, the second structural data of the liquid ammonia storage chamber, and the expected particle adhesion includes: Based on the expected particle adhesion and the adhesion distribution probability corresponding to the dry ice particles, a three-dimensional particle model is constructed; the adhesion distribution probability is specifically: Where Gra[i] is the probability distribution of the i-th particle size in the preset particle size distribution sequence; the particle size distribution sequence is obtained by sorting each particle size based on its volume; BaseGra is the average particle size of the particle size distribution sequence; σ is the preset probability calibration coefficient; and e is the natural constant. Based on the first structural data, a three-dimensional cavity model corresponding to the cavity is generated, and the three-dimensional powder model is added to the inner wall of the three-dimensional cavity model to obtain a powder adhesion model. Based on the second structural data, a three-dimensional storage chamber corresponding to the liquid ammonia storage chamber is generated, and the remaining dosage of liquid ammonia and the powder adhesion model are added to the three-dimensional storage chamber to obtain the three-dimensional structural model.

5. The simulation method according to claim 1, characterized in that, The process of preparing to add materials includes: The adsorption component on the decompression piston is activated to perform a powder adsorption operation on the dry ice powder particles in the cavity. During the process of the decompression piston moving to the target position, the powder adsorption operation is performed, and the adsorption component is closed when the decompression piston reaches the target position.

6. The simulation method according to any one of claims 1-5, characterized in that, If the first gas pressure value meets the preset feeding trigger condition, the operating parameters are imported into the preset simulation model to determine the target position of the decompression piston in the cavity and the expected dosage of the liquid ammonia, including: If the first air pressure value is greater than the preset feeding air pressure threshold, the remaining capacity of carbon dioxide is calculated based on the current position of the pressure reducing piston and the liquid level of the liquid carbon dioxide in the cavity. If the remaining capacity is less than a preset capacity threshold, then a first abnormality message is generated; If the remaining capacity is greater than or equal to the capacity threshold, the operating parameters are imported into a preset simulation model to determine the target position of the decompression piston in the cavity and the expected dose of the liquid ammonia.

7. The simulation method according to any one of claims 1-5, characterized in that, After acquiring the operating parameters of the cavity during the cooling process of the cavity containing carbon dioxide using liquid ammonia, the method further includes: Based on the first temperature value collected at multiple detection times, a temperature change curve corresponding to the liquid ammonia is constructed. Calculate the area of ​​the curve deviation between the temperature change curve and the preset desired temperature curve; If the area of ​​deviation of the curve is greater than the preset deviation threshold, then a second abnormality information corresponding to the liquid ammonia storage tank corresponding to the liquid ammonia is generated.

8. A simulation device for cooling carbon dioxide with liquid ammonia, characterized in that, include: The data acquisition unit is used to acquire the operating parameters of the cavity during the process of cooling the cavity containing carbon dioxide with liquid ammonia. The operating parameters include: a first gas pressure value and a first temperature value of the liquid ammonia; The parameter determination unit is used to import the operating parameters into a preset simulation model if the first gas pressure value meets the preset feeding trigger condition, and determine the target position corresponding to the decompression piston in the cavity and the expected dose corresponding to the liquid ammonia; the target position is used to reduce the gas pressure in the cavity from the first gas pressure value to a preset second gas pressure value; A feeding preparation unit is used to perform a feeding preparation operation; the feeding preparation operation includes: controlling the pressure reducing piston to move to the target position, and adding liquid ammonia of the desired dosage to the liquid ammonia storage tank while the fresh air duct is activated; The feeding execution unit is used to add a preset amount of carbon dioxide into the cavity after performing the feeding preparation operation, so as to cool down the added carbon dioxide.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.

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