Rice fresh-keeping and insect-killing system and method based on vacuumizing and carbon dioxide filling process
By adopting vacuum carbon dioxide charging process and two-stage inflation strategy in the rice storage system, combined with priority scheduling and adaptive control, the problem of insufficient gas control accuracy and fresh preservation effect in the existing rice storage technology is solved, and efficient, energy-saving and intelligent rice fresh preservation and insecticidal effect is achieved.
Patent Information
- Application Number
- CN202510451440.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-11
- Publication Date
- 2025-06-06
AI Technical Summary
The existing rice storage and air conditioning and preservation technology has problems such as chemical fumigation toxic gas release, high operating risks, and drug residues. The conventional packaging storage and single-stage air conditioning methods have limited performance in gas control accuracy, preservation effect and energy consumption utilization, and it is difficult to meet the development needs of high-efficiency, low-consumption, and intelligent air conditioning packaging systems.
The rice preservation and insecticidal system based on the vacuum-absorbing carbon dioxide process is adopted. By drying and vacuuming the rice, combining the two-stage inflation strategy and priority scheduling, the inflation rate and priority are dynamically adjusted to achieve efficient, energy-saving and intelligent carbon dioxide inflation scheduling.
It improves the purity of the environment in the packaging and antibacterial preservation effect, extends the storage life of rice, reduces inflation energy consumption and gas waste, optimizes resource scheduling between the gas storage tank and multiple packaging containers, and improves the operating efficiency and intelligence level of the system.
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Figure CN120092821A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of rice preservation and pest control, in particular to a rice preservation and pest control system and method based on a vacuuming and carbon dioxide filling process. Background Art
[0002] As the staple food of more than half of the world's population, rice storage quality is directly related to food security and people's quality of life. From harvest to final consumption, rice often needs to be stored for a period of time, during which time it is crucial to maintain its quality and freshness.
[0003] Existing rice storage and controlled atmosphere preservation technologies still face significant deficiencies in practical applications. On the one hand, although the traditional chemical fumigation method can quickly kill insects, it has problems such as toxic gas release, high operational risks, and residual agents, which makes it difficult to meet the green and environmentally friendly food safety requirements. On the other hand, conventional packaging storage and single-stage controlled atmosphere methods have limited gas control accuracy, preservation effect, and energy consumption utilization, especially the lack of intelligent management in the coordinated control of multiple packaging containers, resulting in serious gas waste and low system efficiency. At the same time, the current inflation system is generally timed and quantitative inflation, lacking the ability to schedule according to real-time status, such as air pressure and container status, and unable to flexibly adjust the strategy according to the gas tank pressure or container priority, resulting in delayed inflation of some containers or frequent switching of gas tanks, affecting the overall operation efficiency of the system. Therefore, the existing technology is difficult to meet the development needs of efficient, low-consumption, and intelligent controlled atmosphere packaging systems in terms of preservation accuracy, intelligent control, and resource coordination.
[0004] This solution proposes a rice preservation and pest control system and method based on a vacuum extraction and carbon dioxide filling process to solve the problems raised by the background technology. Summary of the invention
[0005] The present invention provides a rice preservation and pest control system and method based on a vacuum and carbon dioxide filling process, which are used to promote solving the problems mentioned in the above background technology.
[0006] In the first aspect, the present application provides a rice preservation and pest control method based on a vacuum carbon dioxide filling process, which adopts the following technical scheme: The rice preservation and pest control method based on a vacuum carbon dioxide filling process comprises:
[0007] Remove impurities, shrunken grains and broken rice from the rice, dry the rice, and control the moisture content of the rice between 13% and 14%;
[0008] The dried rice is put into a packaging container, and the packaging container is placed in a vacuum device to reduce the pressure in the packaging container to a vacuum pressure of 10Pa-50Pa, and the vacuum pressure is maintained for 15-30 minutes;
[0009] Keep the vacuum state and fill the packaging container with carbon dioxide, specifically:
[0010] The process of filling each packaging container with carbon dioxide is divided into two stages:
[0011] In the first stage, the packaging container is inflated from vacuum pressure to normal pressure;
[0012] In the second stage, the packaging container is inflated from normal pressure to the target pressure;
[0013] Set the pressure error, execute the inflation interval calculation strategy, calculate the interval between the first stage and the second stage, and record it as the inflation interval;
[0014] A carbon dioxide gas storage tank is set to inflate multiple packaging containers;
[0015] Get the current gas pressure and carbon dioxide volume of the carbon dioxide storage tank;
[0016] Execute priority scheduling strategy, set priorities for multiple packaging containers, and determine whether to use carbon dioxide gas tanks to inflate packaging containers;
[0017] If the carbon dioxide gas storage tank inflates the packaging container, obtain the target container for inflating;
[0018] If the carbon dioxide gas storage tank does not inflate the packaging container, inflate the carbon dioxide gas storage tank;
[0019] Implement adaptive adjustment strategies to dynamically adjust the filling rate of CO2 tanks and the priority of packaging containers;
[0020] When the second stage of inflation of the packaging container is completed, the packaging container is sealed.
[0021] By drying the rice and controlling the moisture content, and then filling it with carbon dioxide under vacuum, the purity of the environment inside the package and the antibacterial and fresh-keeping effects are improved, extending the storage life of the rice. At the same time, the two-stage inflation strategy can finely control the gas utilization rate and reduce the energy consumption and gas waste during the inflation process. The introduction of the inflation interval realizes the scheduling optimization between the gas tank and multiple packaging containers, effectively alleviating the resource conflict problem caused by high concurrent inflation. Through priority judgment and scheduling control, gas is flexibly allocated according to the remaining capacity of the gas tank to improve the overall operating efficiency. The introduction of the adaptive strategy ensures that the system can operate stably under different loads and working conditions, with good flexibility and robustness.
[0022] Preferably, the setting pressure error, executing the inflation interval calculation strategy, and calculating the interval duration between the first stage and the second stage include:
[0023] Calculate the pressure error εP + Normal Pressure P 1 The result is recorded as the critical pressure P 2 ;
[0024] Setting a pressure relief rate coefficient α, wherein the pressure relief rate coefficient represents the decay ratio of the air pressure to the normal pressure per unit time;
[0025] Then establish an exponential decay model in, is the pressure attenuation factor that changes with time, t P =t 1 -t 0 The inflation interval refers to the time required for the gas pressure in the packaging container to be released from the critical pressure to normal pressure.
[0026] Preferably, the executing priority scheduling strategy, setting priorities for multiple packaging containers, and determining whether to use a carbon dioxide gas storage tank to inflate the packaging containers includes:
[0027] Set the pressure state S(t) for any packaging container;
[0028] Wherein, when the pressure of the packaging container is vacuum pressure, S(t)=0;
[0029] When the pressure of the packaging container is normal pressure, S(t) = 1;
[0030] When the pressure of the packaging container is the target pressure, S(t)=2;
[0031] Build an inflation model for packaging containers:
[0032] PV = nRT, where P is the pressure of the packaging container, V is the volume of the packaging container, R is the universal gas constant, T is the absolute temperature, and n is the number of moles;
[0033] Calculate the difference in moles in the first stage: Among them, P 0 is the vacuum pressure of the packaging container;
[0034] Calculate the difference in moles in the second phase: Among them, P 3 is the target air pressure of the packaging container.
[0035] Preferably, the executing priority scheduling strategy, setting priorities for multiple packaging containers, and determining whether to use a carbon dioxide gas storage tank to inflate the packaging container also includes:
[0036] For multiple packaging containers, two priorities are set, wherein, from high to low, they are the first priority and the second priority;
[0037] Among them, the first priority is when the pressure of the packaging container is normal pressure S(t)=1;
[0038] The second priority is when the pressure of the packaging container is a vacuum pressure S(t) = 0;
[0039] Get the current pressure P of the carbon dioxide storage tank tank (t) and the volume of carbon dioxide V tank ;
[0040] Calculate the number of moles of carbon dioxide in the gas tank at time t
[0041] If tank (t)≥Δn(2), use a carbon dioxide tank to inflate the packaging containers of the first priority;
[0042] If Δn(1)≤n tank (t)<Δn(2), obtain the current filling rate v of the carbon dioxide storage tank tank ;
[0043] Calculate the number of moles v of gas in the carbon dioxide tank during the filling interval tank ×t P ;
[0044] If tank (t)+v tank ×t P ≥Δn(2), the carbon dioxide storage tank is inflated;
[0045] If Δn(1)≤n tank (t) and n tank (t)+v tank ×t P <Δn(2), use the carbon dioxide gas tank to inflate the packaging container of the second priority;
[0046] If tank (t)<Δn(1), the carbon dioxide storage tank is inflated.
[0047] Preferably, if the carbon dioxide gas storage tank inflates the packaging container, obtaining the target container for inflating includes:
[0048] When the target container is the packaging container of the first priority, calculate the number of moles n of the carbon dioxide storage tank at the next time t+1 tank (t+1)=n tank (t)-Δn(2);
[0049] Update the pressure state S(t+1) of the packaging container, and the pressure of the packaging container is the target pressure S(t+1)=2;
[0050] When the target container is the second priority packaging container, calculate the number of moles n of the carbon dioxide storage tank at the next time t+1 tank (t+1)=n tank (t)-Δn(1);
[0051] The pressure state S(t+1) of the packaging container is updated, and the pressure of the packaging container is the target pressure S(t+1)=1.
[0052] By modeling the state update and molar number change of the two types of priority containers after inflation, high-precision inflation behavior tracking and state management are achieved. Each inflation operation has a quantifiable feedback result, which facilitates the control system to update the air pressure status of each container in real time and avoid repeated inflation and incorrect inflation.
[0053] Preferably, if the carbon dioxide gas storage tank does not inflate the packaging container, the carbon dioxide gas storage tank is inflated, comprising:
[0054] If tank (t)<Δn(1), the carbon dioxide storage tank is inflated, specifically:
[0055] Get the maximum rate v of filling the carbon dioxide tank tank,max ;
[0056] Calculate the number of moles n in the carbon dioxide storage tank at the next time t+1 tank (t+1)=min(v tank,max ×t P ,n tank,max )+n tank (t), where n tank,max is the maximum capacity of the carbon dioxide storage tank.
[0057] Preferably, the executing the adaptive adjustment strategy to dynamically adjust the filling rate of the carbon dioxide gas storage tank and the priority of the packaging container includes:
[0058] Adjust the filling rate v of the CO2 tank tank , specifically:
[0059]
[0060] Adjust the priority of each packaging container, specifically:
[0061] U(t)=f(S(t),Δn,n tank(t)), where Δn is the number of moles of packaging containers, U(t) is the priority of the packaging container at time t, U(t)=1 indicates that the packaging container has the first priority, and U(t)=2 indicates that the packaging container has the second priority. f(·) is a weighted decision function used to dynamically calculate the priority of the packaging container.
[0062] In the second aspect, the present application provides a rice preservation and pest control system based on a vacuum carbon dioxide filling process, which adopts the following technical scheme: the rice preservation and pest control system based on a vacuum carbon dioxide filling process comprises:
[0063] Raw material pretreatment module: remove impurities from rice, screen shriveled grains and dry them, controlling the moisture content at 13%-14%;
[0064] Vacuum pretreatment module: evacuate the packaging container to a vacuum state of 10Pa-50Pa, maintain it for 15-30 minutes, and complete the deoxygenation preparation;
[0065] Gas control module: establishes the inflation interval calculation strategy, introduces the pressure relief exponential decay model, and accurately controls the natural pressure relief process of the container;
[0066] Gas tank management module: real-time monitoring of the gas pressure and gas mole number in the tank, control of the inflation or deflation operation, and determination of whether to supply gas to the packaging container or to replenish gas by itself;
[0067] Intelligent scheduling and priority module: set and dynamically adjust the inflation priority of packaging containers, determine the status of gas storage tanks, select the optimal container inflation path, and achieve efficient coordinated scheduling;
[0068] Feedback adaptive control module: real-time adjustment of the gas tank filling rate and packaging container priority to respond to external changes and achieve dynamic optimization strategy;
[0069] Terminal sealing module: When the container is inflated to the target pressure, the sealing operation is automatically performed.
[0070] The present invention has the following beneficial effects:
[0071] 1. This rice preservation and insecticide method based on the vacuum carbon dioxide filling process pre-treats the rice, vacuum treats it and controls the inflation in stages. The vacuum pre-treatment can effectively reduce the residual oxygen in the package and improve the gas conditioning effect. The two-stage inflation strategy is adopted to avoid the energy consumption and instability caused by one-time high-pressure inflation and improve the inflation efficiency. By setting the inflation interval and combining it with the pressure error calculation, the natural pressure relief process of the container can be fully utilized to provide a reasonable buffer window. Multiple containers share a gas storage tank and combine priority scheduling and dynamic judgment mechanisms to ensure that the gas distribution is more reasonable and orderly under limited gas source conditions. With the adaptive control strategy, the system can adjust the inflation rate and priority sorting according to the real-time status to achieve an efficient, energy-saving and intelligent carbon dioxide inflation scheduling system.
[0072] 2. By introducing the critical pressure and exponential decay model to describe the process of the packaging container naturally falling back to normal pressure after the first stage of inflation, the seamless connection between system scheduling and container pressure relief process is achieved. The pressure relief rate coefficient can be flexibly adjusted according to factors such as different container structures and ambient temperature, which improves the adaptability of the model. It not only reduces the hardware requirements for high-frequency switching and real-time response, but also improves the time utilization rate of gas replenishment in the gas tank, and realizes a higher level of gas resource scheduling optimization. No additional energy consumption is required in the process of completing the state transition through natural pressure relief, which reflects the balance between energy saving and efficiency of the system, and helps to improve the green benefits of the overall operation and the refinement of control.
[0073] 3. By introducing the ideal gas state equation to establish a molar number calculation model, the amount of carbon dioxide required by the packaging container at different inflation stages can be accurately determined, providing a solid quantitative basis for inflation control and scheduling strategies. The pressure state of the packaging container is discretized into three types: vacuum, normal pressure, and target pressure. The molar number difference required at different stages is directly calculated based on the formula and the inflation task is quantitatively managed. It not only improves the accuracy of judging the inflation progress of the container, but also determines whether the remaining gas meets the inflation demand at a specific stage, and enhances the scientific nature of the system in decision-making. In addition, the model can be linked with the gas tank status data to form a mathematical system of "supply and demand coupling", which is a key bridge for the entire system to achieve optimal gas distribution and scheduling path selection. BRIEF DESCRIPTION OF THE DRAWINGS
[0074] Figure 1 It is a schematic diagram of the process of the present invention.
[0075] Figure 2 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION
[0076] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0077] Embodiment 1, refer to Figure 1 The rice preservation and insecticide method based on vacuum carbon dioxide filling process includes:
[0078] Remove impurities, shrunken grains and broken rice from the rice, dry the rice, and control the moisture content of the rice between 13% and 14%;
[0079] The dried rice is put into a packaging container, and the packaging container is placed in a vacuum device to reduce the pressure in the packaging container to a vacuum pressure of 10Pa-50Pa, and the vacuum pressure is maintained for 15-30 minutes;
[0080] Keep the vacuum state and fill the packaging container with carbon dioxide, specifically:
[0081] The process of filling each packaging container with carbon dioxide is divided into two stages:
[0082] In the first stage, the packaging container is inflated from vacuum pressure to normal pressure;
[0083] In the second stage, the packaging container is inflated from normal pressure to the target pressure;
[0084] Set the pressure error, execute the inflation interval calculation strategy, calculate the interval between the first stage and the second stage, and record it as the inflation interval;
[0085] A carbon dioxide gas storage tank is set to inflate multiple packaging containers;
[0086] Get the current gas pressure and carbon dioxide volume of the carbon dioxide storage tank;
[0087] Execute priority scheduling strategy, set priorities for multiple packaging containers, and determine whether to use carbon dioxide gas tanks to inflate packaging containers;
[0088] If the carbon dioxide gas storage tank inflates the packaging container, obtain the target container for inflating;
[0089] If the carbon dioxide gas storage tank does not inflate the packaging container, inflate the carbon dioxide gas storage tank;
[0090] Implement adaptive adjustment strategies to dynamically adjust the filling rate of CO2 tanks and the priority of packaging containers;
[0091] When the second stage of inflation of the packaging container is completed, the packaging container is sealed.
[0092] In this embodiment, the pretreatment is as follows: the harvested rice is screened to remove impurities, shrunken grains and broken rice to ensure the purity of the rice. The rice is then dried to control the moisture content of the rice to between 13% and 14%, which can both ensure the quality of the rice and inhibit the growth of microorganisms.
[0093] Vacuuming: Put the pretreated rice into a packaging container with good airtightness, such as a food-grade composite plastic bag or a vacuum sealed barrel. Put the packaging container into the vacuum equipment, start the vacuum pump, reduce the pressure in the packaging container to 10-50Pa, maintain the vacuum state for 15-30 minutes, exhaust the air in the packaging container as much as possible, reduce the oxygen content, inhibit the growth of aerobic microorganisms and the oxidation of rice.
[0094] Carbon dioxide filling: While maintaining the vacuum, high-purity (≥99.9%) carbon dioxide gas is filled into the packaging container through the gas filling system. The speed of filling carbon dioxide gas is controlled to restore the pressure in the packaging container to normal pressure within 5-10 minutes, and then continue to fill carbon dioxide to make the pressure in the packaging container reach 105-110kPa, and maintain this pressure state for 5-10 minutes to ensure that carbon dioxide fully replaces other gases remaining in the packaging container.
[0095] Sealed storage: After the carbon dioxide is filled, the packaging container should be sealed immediately by heat sealing or mechanical sealing to ensure the sealing of the packaging container, prevent carbon dioxide leakage and outside air from entering, and thus maintain the atmosphere inside the packaging container.
[0096] In this embodiment, grain depots store rice on a large scale:
[0097] Pretreatment: 100 tons of newly stored rice were screened and dried to stabilize the moisture content at 13.2%.
[0098] Vacuuming: Put the rice into a large vacuum sealed storage bin and use a large vacuum pump set to reduce the pressure in the bin to 10Pa within 30 minutes and maintain it for 30 minutes.
[0099] Filling with carbon dioxide: Use a professional gas filling system to fill carbon dioxide into the warehouse at a flow rate of 500L / min, so that the pressure in the warehouse returns to normal pressure within 10 minutes, and continue to fill to 110kPa and maintain for 10 minutes.
[0100] Sealed storage: The storage bin is sealed with a professional mechanical sealing device and placed in a grain warehouse to maintain a temperature of 20-25°C. After 12 months of storage, the rice quality is stable, with no insect pests or mildew, and the quality meets national standards.
[0101] By pre-treating the rice, vacuuming it, and controlling the two-stage inflation, the system provides a basic guarantee for inhibiting oxidation and delaying deterioration. Vacuum treatment significantly reduces the oxygen content in the package, improving the atmosphere preservation effect; two-stage inflation reduces pressure mutations, improving safety and control accuracy. The concept of inflation intervals is introduced to give the inflation process buffer scheduling capabilities; multiple packaging containers share a gas storage tank and combine it with a priority strategy to make gas distribution more reasonable and efficient. The system also has dynamic adjustment capabilities, combining real-time status to control inflation rhythm and resource allocation, improving the overall intelligence level and resource utilization efficiency. Ultimately, while ensuring packaging quality, the energy efficiency and coordination of system operation are improved.
[0102] Set the pressure error, execute the inflation interval calculation strategy, and calculate the interval time between the first stage and the second stage, including:
[0103] Calculate the pressure error ε P + Normal Pressure P 1 The result is recorded as the critical pressure P 2 ;
[0104] Setting a pressure relief rate coefficient α, wherein the pressure relief rate coefficient represents the decay ratio of the air pressure to the normal pressure per unit time;
[0105] Then establish an exponential decay model in, is the pressure attenuation factor that changes with time, t P =t 1 -t 0 The inflation interval refers to the time required for the gas pressure in the packaging container to be released from the critical pressure to normal pressure.
[0106] By constructing an exponential decay model based on the pressure relief coefficient, the system can accurately predict the time required for the packaging container to naturally return to normal pressure from the overfilled state. This model mathematizes the physical process, making the scheduling system more scientific and accurate in time planning. The determination of the inflation interval does not require the intervention of real-time sensors, reducing the complexity of the system, while releasing the tank inflation window and enhancing the system's time elasticity and scheduling efficiency. In addition, the exponential model has good versatility and adjustability, making it easy to adapt to different packaging specifications and temperature and humidity environments, providing important support for the stable operation of the system and energy efficiency optimization.
[0107] Execute priority scheduling strategy, set priorities for multiple packaging containers, and determine whether to use carbon dioxide gas tanks to inflate packaging containers, including:
[0108] Set the pressure state S(t) for any packaging container;
[0109] Wherein, when the pressure of the packaging container is vacuum pressure, S(t)=0;
[0110] When the pressure of the packaging container is normal pressure, S(t) = 1;
[0111] When the pressure of the packaging container is the target pressure, S(t)=2;
[0112] Build an inflation model for packaging containers:
[0113] PV = nRT, where P is the pressure of the packaging container, V is the volume of the packaging container, R is the universal gas constant, T is the absolute temperature, and n is the number of moles;
[0114] Calculate the difference in moles in the first stage: Among them, P 0 is the vacuum pressure of the packaging container;
[0115] Calculate the difference in moles in the second phase: Among them, P 3 is the target air pressure of the packaging container.
[0116] By introducing the ideal gas state equation and the molar difference model, the system can accurately quantify the amount of carbon dioxide required at different stages. The gas demand in the two stages from vacuum to normal pressure and from normal pressure to target pressure is clearly divided by mathematical expression, providing a clear data basis for inflation scheduling. It avoids the errors caused by empirical estimation and improves the scientific nature of inflation decisions. After the container state is converted into a computable variable, it can directly participate in the control logic and priority allocation calculation. It is the mathematical basis for building a precise control and dynamic scheduling system, and helps to achieve efficient multi-container collaborative operation.
[0117] Execute a priority scheduling strategy, set priorities for multiple packaging containers, and determine whether to use a carbon dioxide gas tank to inflate the packaging container, and also include:
[0118] For multiple packaging containers, two priorities are set, wherein, from high to low, they are the first priority and the second priority;
[0119] Among them, the first priority is when the pressure of the packaging container is normal pressure S(t)=1;
[0120] The second priority is when the pressure of the packaging container is a vacuum pressure S(t) = 0;
[0121] Get the current pressure P of the carbon dioxide storage tank tank (t) and the volume of carbon dioxide V tank ;
[0122] Calculate the number of moles of carbon dioxide in the gas tank at time t
[0123] If tank (t)≥Δn(2), use a carbon dioxide tank to inflate the packaging containers of the first priority;
[0124] If Δn(1)≤n tank (t)<Δn(2), obtain the current filling rate v of the carbon dioxide storage tank tank ;
[0125] Calculate the number of moles v of gas in the carbon dioxide tank during the filling interval tank ×t P ;
[0126] If tank (t)+v tank ×t P ≥Δn(2), the carbon dioxide storage tank is inflated;
[0127] If Δn(1)≤n tank (t) and n tank (t)+v tank ×t P <Δn(2), use the carbon dioxide gas tank to inflate the packaging container of the second priority;
[0128] If tank (t)<Δn(1), the carbon dioxide storage tank is inflated.
[0129] By setting a priority mechanism based on container gas pressure, the stage from normal pressure to target pressure can be completed first when gas is limited, maximizing the benefits of resource utilization. Combined with the dynamic judgment of the gas tank status, whether to deflate, inflate or replenish gas, inefficient operation cycles can be reasonably avoided. Priority classification gives scheduling a clear hierarchical logic, which improves processing orderliness and system throughput under task parallelism. Combined with molar number estimation and real-time status judgment, the system can respond to changes quickly and achieve a resource scheduling strategy with high responsiveness and high utilization.
[0130] If the carbon dioxide gas storage tank is used to inflate the packaging container, obtain the target container for inflation, including:
[0131] When the target container is the packaging container of the first priority, calculate the number of moles n of the carbon dioxide storage tank at the next time t+1 tank (t+1)=n tank (t)-Δn(2);
[0132] Update the pressure state S(t+1) of the packaging container, and the pressure of the packaging container is the target pressure S(t+1)=2;
[0133] When the target container is the second priority packaging container, calculate the number of moles n of the carbon dioxide storage tank at the next time t+1 tank (t+1)=n tank (t)-Δn(1);
[0134] The pressure state S(t+1) of the packaging container is updated, and the pressure of the packaging container is the target pressure S(t+1)=1.
[0135] Closed-loop control is achieved by updating the packaging container status and the gas volume in the gas tank after each round of inflation. Status updates not only record real-time progress, but also provide a reference for subsequent task arrangements to avoid repeated inflation and task conflicts. The update logic of containers of different priorities is independent of each other, making the state transition clear and simplifying the control judgment process. This mechanism provides complete data closed-loop support for the system and is the core component of intelligent scheduling, load balancing, and resource reuse, ensuring efficient and stable operation of the system.
[0136] If the carbon dioxide gas storage tank does not inflate the packaging container, the carbon dioxide gas storage tank is inflated, including:
[0137] If tank (t)<Δn(1), the carbon dioxide storage tank is inflated, specifically:
[0138] Get the maximum rate v of filling the carbon dioxide tank tank,max ;
[0139] Calculate the number of moles n in the carbon dioxide storage tank at the next time t+1 tank (t+1)=min(v tank,max ×t P , n tank,max )+n tank (t), where n tank,max is the maximum capacity of the carbon dioxide storage tank.
[0140] By setting the maximum capacity of the gas tank and the upper limit of the gas filling rate, the system can effectively control the change of gas pressure during the gas filling stage, avoid overcharging and overpressure problems, and ensure the safety of the system. The gas filling process is dynamically calculated based on the maximum rate and current reserves, and the gas source is replenished smoothly to form a rhythmic balance between filling and replenishing. This mechanism clarifies the resource replenishment rhythm and physical boundaries, which is the basic condition for the smooth and efficient operation of the system, and at the same time provides a continuous and stable gas supply capacity for the overall scheduling.
[0141] The adaptive adjustment strategy is implemented to dynamically adjust the filling rate of the carbon dioxide gas storage tank and the priority of the packaging container, including:
[0142] Adjust the filling rate v of the CO2 tank tank , specifically:
[0143]
[0144] Adjust the priority of each packaging container, specifically:
[0145] U(t)=f(S(t),Δn,n tank (t)), where Δn is the number of moles of packaging containers, U(t) is the priority of the packaging container at time t, U(t)=1 indicates that the packaging container has the first priority, and U(t)=2 indicates that the packaging container has the second priority. f(·) is a weighted decision function used to dynamically calculate the priority of the packaging container.
[0146] The gas tank filling rate and packaging container priority are adjusted in real time through an adaptive mechanism, and it has the ability to self-optimize according to the operating status. The priority calculation combines the molar number and the state factor to dynamically adapt to different task densities and improve the response efficiency of the system. The filling rate is adjusted according to changes in demand to avoid resource waste or gas supply bottlenecks. This module gives the system flexible scheduling capabilities for complex environments and is a key unit for achieving global optimal resource management and intelligent system operation.
[0147] Example 2, refer to Figure 2 The system of rice preservation and insecticide method based on vacuum carbon dioxide filling process includes:
[0148] Raw material pretreatment module: remove impurities from rice, screen shriveled grains and dry them, controlling the moisture content at 13%-14%;
[0149] Vacuum pretreatment module: evacuate the packaging container to a vacuum state of 10Pa-50Pa, maintain it for 15-30 minutes, and complete the deoxygenation preparation;
[0150] Gas control module: establishes the inflation interval calculation strategy, introduces the pressure relief exponential decay model, and accurately controls the natural pressure relief process of the container;
[0151] Gas tank management module: real-time monitoring of the gas pressure and gas mole number in the tank, control of the inflation or deflation operation, and determination of whether to supply gas to the packaging container or to replenish gas by itself;
[0152] Intelligent scheduling and priority module: set and dynamically adjust the inflation priority of packaging containers, determine the status of gas storage tanks, select the optimal container inflation path, and achieve efficient coordinated scheduling;
[0153] Feedback adaptive control module: real-time adjustment of the gas tank filling rate and packaging container priority to respond to external changes and achieve dynamic optimization strategy;
[0154] Terminal sealing module: When the container is inflated to the target pressure, the sealing operation is automatically performed.
[0155] In this embodiment, the vacuum device includes a vacuum chamber, a vacuum pump, a vacuum pressure sensor and a vacuum control system. The vacuum chamber is used to place a packaging container containing rice; the vacuum pump is used to extract air in the vacuum chamber to achieve a vacuum environment; the vacuum pressure sensor monitors the pressure in the vacuum chamber in real time and transmits the pressure signal to the vacuum control system; the vacuum control system controls the start, stop and running time of the vacuum pump according to the preset vacuum degree and maintenance time to ensure that the vacuum degree meets the requirements and is maintained stably.
[0156] Gas filling device: It consists of a carbon dioxide gas storage tank, a gas flow controller, a gas pressure regulating valve and a gas filling pipeline. The carbon dioxide gas storage tank stores high-purity carbon dioxide gas; the gas flow controller accurately controls the flow of carbon dioxide gas according to the set filling speed; the gas pressure regulating valve is used to adjust the pressure of carbon dioxide gas filled into the packaging container to ensure that the filling pressure meets the process requirements; the gas filling pipeline connects the carbon dioxide gas storage tank and the vacuum chamber to realize the transportation of carbon dioxide gas.
[0157] Sealing device: For different packaging containers, corresponding sealing equipment is equipped, such as heat sealers for plastic bag packaging, and mechanical sealing devices for sealing barrels and other packaging containers. The sealing device can adjust the sealing parameters according to the different packaging materials and sizes to ensure the sealing performance of the packaging container.
[0158] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0159] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A rice preservation and pest control method based on a vacuum carbon dioxide filling process, characterized in that: include: Remove impurities, shrunken grains and broken rice from the rice, dry the rice, and control the moisture content of the rice between 13% and 14%; The dried rice is put into a packaging container, and the packaging container is placed in a vacuum device to reduce the pressure in the packaging container to a vacuum pressure of 10Pa-50Pa, and the vacuum pressure is maintained for 15-30 minutes; Keep the vacuum state and fill the packaging container with carbon dioxide, specifically: The process of filling each packaging container with carbon dioxide is divided into two stages: In the first stage, the packaging container is inflated from vacuum pressure to normal pressure; In the second stage, the packaging container is inflated from normal pressure to the target pressure; Set the pressure error, execute the inflation interval calculation strategy, calculate the interval between the first stage and the second stage, and record it as the inflation interval; A carbon dioxide gas storage tank is set to inflate multiple packaging containers; Get the current gas pressure and carbon dioxide volume of the carbon dioxide storage tank; Execute priority scheduling strategy, set priorities for multiple packaging containers, and determine whether to use carbon dioxide gas tanks to inflate packaging containers; If the carbon dioxide gas storage tank inflates the packaging container, obtain the target container for inflating; If the carbon dioxide gas storage tank does not inflate the packaging container, inflate the carbon dioxide gas storage tank; Implement adaptive adjustment strategies to dynamically adjust the filling rate of CO2 tanks and the priority of packaging containers; When the second stage of inflation of the packaging container is completed, the packaging container is sealed.
2. The rice preservation and pest control method based on the vacuum carbon dioxide filling process according to claim 1, characterized in that: The pressure error is set, and the inflation interval calculation strategy is executed to calculate the interval between the first stage and the second stage, including: Calculate the pressure error ε P + normal pressure P1, the result is recorded as critical pressure P2; Setting a pressure relief rate coefficient α, wherein the pressure relief rate coefficient represents the decay ratio of the air pressure to the normal pressure per unit time; Then establish an exponential decay model in, is the pressure attenuation factor that changes with time, t P =t1-t0 is the inflation interval, which indicates the time required for the air pressure of the packaging container to be released from the critical pressure to normal pressure.
3. The rice preservation and pest control method based on the vacuum carbon dioxide filling process according to claim 2 is characterized in that: The executing priority scheduling strategy, setting priorities for multiple packaging containers, and determining whether to use a carbon dioxide gas storage tank to inflate the packaging containers includes: Set the pressure state S(t) for any packaging container; Wherein, when the pressure of the packaging container is vacuum pressure, S(t)=0; When the pressure of the packaging container is normal pressure, S(t) = 1; When the pressure of the packaging container is the target pressure, S(t)=2; Build an inflation model for packaging containers: PV = nRT, where P is the pressure of the packaging container, V is the volume of the packaging container, R is the universal gas constant, T is the absolute temperature, and n is the number of moles; Calculate the difference in moles in the first stage: Wherein, P0 is the vacuum pressure of the packaging container; Calculate the difference in moles in the second phase: Among them, P3 is the target air pressure of the packaging container.
4. The rice preservation and pest control method based on the vacuum carbon dioxide filling process according to claim 3 is characterized in that: The executing priority scheduling strategy, setting priorities for multiple packaging containers, and determining whether to use a carbon dioxide gas storage tank to inflate the packaging container also includes: For multiple packaging containers, two priorities are set, wherein, from high to low, they are the first priority and the second priority; Among them, the first priority is when the pressure of the packaging container is normal pressure S(t)=1; The second priority is when the pressure of the packaging container is a vacuum pressure S(t) = 0; Get the current pressure P of the carbon dioxide storage tank tank (t) and the volume of carbon dioxide V tank ; Calculate the number of moles of carbon dioxide in the gas tank at time t If tank (t)≥Δn(2), use a carbon dioxide tank to inflate the packaging containers of the first priority; If Δn(1)≤n tank (t)<Δn(2), obtain the current filling rate v of the carbon dioxide storage tank tank ; Calculate the number of moles v of gas in the carbon dioxide tank during the filling interval tank ×t P ; If tank (t)+v tank ×t P ≥Δn(2), the carbon dioxide storage tank is inflated; If Δn(1)≤n tank (t) and n tank (t)+v tank ×t P <Δn(2), use the carbon dioxide gas tank to inflate the packaging container of the second priority; If tank (t)<Δn(1), the carbon dioxide storage tank is inflated.
5. The rice preservation and pest control method based on the vacuum carbon dioxide filling process according to claim 4 is characterized in that: If the carbon dioxide gas storage tank inflates the packaging container, obtaining the target container for inflating includes: When the target container is the packaging container of the first priority, calculate the number of moles n of the carbon dioxide storage tank at the next time t+1 tank (t+1)=n tank (t)-Δn(2); Update the pressure state S(t+1) of the packaging container, and the pressure of the packaging container is the target pressure S(t+1)=2; When the target container is the second priority packaging container, calculate the number of moles n of the carbon dioxide storage tank at the next time t+1 tank (t+1)=n tank (t)-Δn(1); The pressure state S(t+1) of the packaging container is updated, and the pressure of the packaging container is the target pressure S(t+1)=1.
6. The rice preservation and pest control method based on the vacuum carbon dioxide filling process according to claim 5, characterized in that: If the carbon dioxide gas storage tank does not inflate the packaging container, inflate the carbon dioxide gas storage tank, including: If tank (t)<Δn(1), the carbon dioxide storage tank is inflated, specifically: Get the maximum rate v of filling the carbon dioxide tank tank,max ; Calculate the number of moles n in the carbon dioxide storage tank at the next time t+1 tank (t+1)=min(v tank,max ×t P ,n tank,max )+n tank (t), where n tank,max is the maximum capacity of the carbon dioxide storage tank.
7. The rice preservation and pest control method based on vacuum carbon dioxide filling process according to claim 4, characterized in that: The adaptive adjustment strategy is implemented to dynamically adjust the filling rate of the carbon dioxide gas storage tank and the priority of the packaging container, including: Adjust the filling rate v of the CO2 tank tank , specifically: Adjust the priority of each packaging container, specifically: U(t)=f(S(t),Δn,n tank (t)), where Δn is the number of moles of packaging containers, U(t) is the priority of the packaging container at time t, U(t)=1 indicates that the packaging container has the first priority, U(t)=2 indicates that the packaging container has the second priority, and f(·) is a weighted decision function used to dynamically calculate the priority of the packaging container.
8. A system for a rice preservation and pest control method based on a vacuum carbon dioxide filling process, applied to the rice preservation and pest control method based on a vacuum carbon dioxide filling process as claimed in any one of claims 1 to 7, characterized in that: include: Raw material pretreatment module: remove impurities from rice, screen shriveled grains and dry them, controlling the moisture content at 13%-14%; Vacuum pretreatment module: evacuate the packaging container to a vacuum state of 10Pa-50Pa, maintain it for 15-30 minutes, and complete the deoxygenation preparation; Gas control module: establishes the inflation interval calculation strategy, introduces the pressure relief exponential decay model, and accurately controls the natural pressure relief process of the container; Gas tank management module: real-time monitoring of the gas pressure and gas mole number in the tank, control of the inflation or deflation operation, and determination of whether to supply gas to the packaging container or to replenish gas by itself; Intelligent scheduling and priority module: set and dynamically adjust the inflation priority of packaging containers, determine the status of gas storage tanks, select the optimal container inflation path, and achieve efficient coordinated scheduling; Feedback adaptive control module: real-time adjustment of the gas tank filling rate and packaging container priority to respond to external changes and achieve dynamic optimization strategy; Terminal sealing module: When the container is inflated to the target pressure, the sealing operation is automatically performed.