Method and device for controlling anhydrous keep-alive transport microenvironment, electronic equipment and storage medium

Abstract

The application provides a kind of anhydrous keep-alive transport microenvironment control method, device, electronic equipment and storage medium, the method comprises: by based on fish respiratory behavior characteristics and microenvironment information, determine whether fish exists stress, the fish respiratory behavior characteristics characterize the respiratory intensity of the fish, and the microenvironment information includes the environmental information in the microenvironment where the fish is;If the fish exists stress, then use the first prediction function to predict the respiratory intensity value of the fish in the future a period of time;If the fish does not exist stress, then use the second prediction function to predict the respiratory intensity value of the fish in the future a period of time;Based on respiratory intensity prediction value and expected value, generate optimal control instruction, and regulate the microenvironment.The application provides a kind of pre-anhydrous keep-alive transport microenvironment control method, reduces the accumulation of stress degree of aquatic products in the process of transportation, improves the quality of aquatic products.

Description

Technical Field

[0001] This invention relates to the fields of data processing technology and intelligent monitoring technology for water-free water-free transport, and particularly to a method, device, electronic equipment and storage medium for microenvironment control in waterless water-free water-free transport. Background Technology

[0002] During the transportation of aquatic products, to avoid water pollution and space constraints, and to maintain the freshness of the products, low-temperature waterless preservation technology can be used to ensure the survival rate of live fish, such as the waterless preservation transport vehicle described in patent CN103692948B. Low-temperature waterless / low-water preservation maintains the activity of aquatic products during transportation or storage in the absence of aquatic environments. This method mainly relies on low-temperature technology and appropriate treatment measures to extend the survival time of aquatic organisms. However, aquatic animals are prone to excessive energy consumption due to increased stress and the continuous impact of adverse environments, leading to suppression of the immune system and accelerated accumulation of harmful metabolites.

[0003] Currently, environmental control in anhydrous live transport mainly relies on regulating physiological parameters such as superoxide dismutase (SOD), catalase (CAT), blood glucose, and cortisol concentrations after live transport. This method adjusts and improves live transport based on damage indicators observed in the transport process, but this reactive regulation can damage product quality and fails to accurately and promptly control the transport environment, resulting in low product survival rates. Furthermore, research on control models for anhydrous live transport is limited.

[0004] Therefore, there is an urgent need for a pre-emptive waterless transport microenvironment control method. Summary of the Invention

[0005] This invention provides a method, apparatus, electronic device, and storage medium for controlling the microenvironment during waterless live transport, in order to solve the problem of low survival rate of aquatic products caused by post-processing control during waterless live transport in the prior art.

[0006] In a first aspect, the present invention provides a method for controlling the microenvironment during waterless live transport, comprising the following steps:

[0007] Based on the fish's respiratory behavior characteristics and microenvironment information, it is determined whether the fish is under stress. The fish's respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes the environmental information of the microenvironment in which the fish is located.

[0008] If the fish is under stress, the first prediction function is used to predict the respiratory intensity of the fish over a future period of time.

[0009] If the fish is not under stress, the second prediction function is used to predict the respiratory intensity of the fish in the future.

[0010] Based on the predicted and expected values ​​of respiratory intensity, optimal control commands are generated to regulate the microenvironment.

[0011] According to the present invention, a method for controlling the microenvironment during waterless live transport, wherein determining whether the fish is under stress based on the fish's respiratory behavior characteristics and microenvironment information includes:

[0012] Based on the characteristics of fish respiratory behavior and microenvironment information, the cumulative respiratory intensity deviation rate of fish is calculated;

[0013] Based on the cumulative respiratory intensity deviation rate, it is determined whether the fish is under stress.

[0014] The cumulative respiratory intensity deviation rate is the sum of respiratory intensity deviation rates over a period of time, and the respiratory intensity deviation rate is calculated based on the following formula:

[0015] ;

[0016] in, Indicates the rate of deviation of breathing intensity. Indicates the specified time Internal average respiratory rate, Indicates the monitoring period Intra-unit respiratory intensity, , Indicates the fish body during the monitoring period Respiratory rate within the body, Indicates the fish body during the monitoring period The internal respiratory angle amplitude sequence, wherein the respiratory angle amplitude is determined based on the difference between the maximum and minimum respiratory angle amplitudes of the gills on both sides of the fish during a single respiration. It is a positive integer.

[0017] According to the present invention, a method for controlling the microenvironment during waterless survival transport includes generating optimal control commands based on predicted and expected respiratory intensity values ​​to regulate the microenvironment, comprising:

[0018] Based on the difference between the respiratory intensity value and the expected value, an objective function is constructed, where the expected value is the respiratory intensity of the fish in a preset microenvironment.

[0019] Minimize the objective function to obtain a set of optimal control variable solutions;

[0020] Based on the optimal control variable solution, the microenvironment is regulated.

[0021] According to the waterless live transport microenvironment control method provided by the present invention, the first prediction function is as follows:

[0022] ;

[0023] in, This represents the respiratory intensity value of the fish in the i-th unit of time. Indicates the initial solution Energy required for the fish to survive. This represents the temperature correction factor for the vital functions of the fish. This indicates the additional energy source needed to maintain energy balance when stress occurs. Indicates the fish body structure coefficient. Represents the oxygen concentration in the i-th unit of time. The air pressure in the i-th unit of time. This represents the microenvironmental pressure value that balances the internal and external environment of the fish during live transport, specifically the gas osmotic pressure of the fish's gills.

[0024] According to the waterless live transport microenvironment control method provided by the present invention, the second prediction function is as follows:

[0025] ;

[0026] in, This represents the respiratory intensity value of the fish in the i-th unit of time. Indicates the initial solution Energy required for the fish to survive. This represents the temperature correction factor for the vital functions of the fish. Indicates the fish body structure coefficient. Represents the oxygen concentration in the i-th unit of time. The air pressure in the i-th unit of time. This represents the microenvironmental pressure value that balances the internal and external environment of the fish during live transport, specifically the gas osmotic pressure of the fish's gills.

[0027] According to the waterless survival transport microenvironment control method provided by the present invention, the predicted respiration intensity value is obtained based on the following energy dynamic balance equation:

[0028]

[0029] in, express The dynamic equilibrium equation at the location; Indicates being in Energy consumption during the process; Indicates being in Energy consumption during the process; Let i be the environmental parameter index value at time i. This represents the environmental parameter index adjustment value at time i, i.e., the corresponding adjusted index value. This represents the initial control values, i.e., the optimal environment and respiratory parameters for the fish.

[0030] The fish body structure coefficient is calculated based on the following formula:

[0031] ;

[0032] in, Represents fish body structure coefficients, fish body structure parameters Indicates the structural coefficient of inhaled gas and fish body structural parameters. This represents the oxygen permeability coefficient of fish gills and a structural parameter of fish body. This represents the energy conversion structure coefficient.

[0033] Secondly, the present invention also provides a waterless preservative transport microenvironment control device, comprising the following modules:

[0034] The determination module is used to determine whether a fish is under stress based on its respiratory behavior characteristics and microenvironment information. The respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information in the microenvironment in which the fish is located.

[0035] The calculation module is used to predict the respiratory intensity value of the fish in the future period of time using a first prediction function if the fish is under stress; and to predict the respiratory intensity value of the fish in the future period of time using a second prediction function if the fish is not under stress.

[0036] The regulation module is used to generate optimal control commands based on the predicted and expected values ​​of respiratory intensity to regulate the microenvironment.

[0037] Thirdly, the present invention also provides 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 waterless live transport microenvironment control method as described above.

[0038] Fourthly, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the waterless live transport microenvironment control method as described above.

[0039] Fifthly, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the waterless live transport microenvironment control method as described above.

[0040] The present invention provides a method, apparatus, electronic device, and storage medium for controlling the microenvironment during waterless live transport. By analyzing fish respiratory behavior characteristics and microenvironment information, it determines whether a fish is under stress. The fish respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information within the microenvironment in which the fish resides. If the fish is under stress, a first prediction function predicts the fish's respiratory intensity value over a future period; if the fish is not under stress, a second prediction function predicts the fish's respiratory intensity value over a future period. Based on the predicted and expected respiratory intensity values, an optimal control command is generated to regulate the microenvironment. This solution uses the fish's behavioral response as the primary monitoring indicator. On the one hand, monitoring indicators are easier to obtain and have lower costs; on the other hand, determining the fish's stress level based on its respiratory behavior characteristics is proactive and non-invasive. Regulating the microenvironment based on the fish's stress level controls stress levels during waterless live transport from the environmental source, reducing stress accumulation during transport and improving the quality of aquatic products.

[0041] The advantages of this approach also lie in the construction and utilization of an in vitro energy dynamic balance equation. By actively controlling the microenvironment to reduce the variation in respiratory behavior, it proactively predicts and establishes an optimal energy balance, meeting the energy consumption needs of fish to combat stress, reducing the occurrence of anaerobic respiration or oxygen intoxication, and proactively identifying and reducing energy imbalances in vitro. This proactively assists fish to quickly achieve energy balance and remain in an optimal dormant state, reducing the time of energy dynamic imbalance when in a non-dormant or stressed state, and further reducing stress behavior and cumulative stress levels in the live transport environment. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0043] Figure 1 This is one of the flowcharts of the waterless live transport microenvironment control method provided by the present invention.

[0044] Figure 2 This is the second schematic diagram of the waterless live transport microenvironment control method provided by the present invention.

[0045] Figure 3 This is a schematic diagram of the structure of the waterless live transport microenvironment control device provided by the present invention.

[0046] Figure 4This is a schematic diagram of the structure of the waterless live transport microenvironment control system provided by the present invention.

[0047] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0049] It should be noted that in the description of the embodiments of the present invention, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The terms "upper," "lower," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Unless otherwise expressly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly, for example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0050] The terms "first," "second," etc., used in this invention are used to distinguish similar objects, not to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class, without limiting the number of objects; for example, a first object can be one or more. Furthermore, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0051] The following is combined Figures 1-5 This invention describes the waterless live transport microenvironment control method, apparatus, electronic device, and storage medium provided in embodiments of the present invention.

[0052] Figure 1 This is one of the flowcharts of the waterless live transport microenvironment control method provided by the present invention;

[0053] Figure 2 This is the second schematic diagram of the waterless live transport microenvironment control method provided by the present invention;

[0054] like Figures 1-2 As shown, the method includes the following:

[0055] S110, Based on the fish's respiratory behavior characteristics and microenvironment information, determine whether the fish is under stress. The fish's respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information in the microenvironment in which the fish is located.

[0056] S120, if the fish is under stress, the first prediction function is used to predict the respiratory intensity value of the fish in the future period of time;

[0057] S130, if the fish is not under stress, then the second prediction function is used to predict the respiratory intensity value of the fish in the future period of time;

[0058] S140, based on the predicted and expected values ​​of respiratory intensity, generates optimal control commands to regulate the microenvironment.

[0059] It should be noted that the execution subject of the waterless live transport microenvironment control method provided in the embodiments of the present invention can be a microprocessor or other computer devices, such as mobile phones, tablets, laptops, handheld computers, vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs).

[0060] It is understandable that fish need to expend additional energy to cope with stressors and other adverse environmental factors. Therefore, based on the Dynamic Energy Budget Theory (DEB) of aquatic products, a balance equation for fish energy consumption during waterless live transport is constructed to establish the equivalent relationship for the adaptive regulation model of the live microenvironment. That is, energy consumption for maintaining fish life functions + energy consumption for stress resistance = oxygen uptake × (aerobic + anaerobic respiration) × energy conversion efficiency. Specifically, for the low-temperature microenvironment parameters, that is, energy consumption for maintaining fish life functions + energy consumption for stress resistance = gas intake × oxygen concentration × (gas pressure - gas osmotic pressure (body pressure) of fish gills) × (aerobic respiration + anaerobic respiration) × energy conversion efficiency corresponding to temperature, where gas intake, actual oxygen intake, and energy conversion efficiency are related to fish body structure.

[0061] The embodiments of this invention actively control the microenvironment to quickly establish a dynamic balance of energy consumption in the fish, satisfying the additional energy consumption to combat stress and reducing the occurrence of anaerobic respiration, thus keeping it in an optimal balance state. Therefore, it can be considered that the mean of anaerobic respiration in a stress-free survival transport environment is close to zero or zero. Thus, the balance equation can be further simplified to:

[0062] Gas intake × oxygen concentration × (gas pressure - osmotic pressure of the fish gills) × estimated value of fish body structural parameters =Respiratory intensity BQ × Fish body structure coefficient K1 × Fish body structure coefficient K2 × Fish body structure coefficient K3 × Oxygen concentration C × Gas pressure P (relative pressure) = Energy requirement for maintaining fish life functions = Transport biomass × Energy consumption per unit fish body to maintain life functions; where, the estimated value of the fish body structure coefficient is... ; The structure coefficient of the inhaled gas represents the ratio of the amount of inhaled gas to the breathing intensity, i.e., breathing intensity BQ × fish body structure coefficient K1 = actual gas passage Q. The oxygen permeability coefficient of fish gills represents the ratio of actual oxygen intake to gas intake per unit gas pressure and concentration. It represents the energy conversion structure coefficient, which is the ratio of converted energy to oxygen consumption during normal metabolism.

[0063] Furthermore, for a certain species of fish in a preset temperature microenvironment, there exists a standard value of "respiration intensity × oxygen concentration × gas pressure," which is proportional to biomass. Based on this, the standard value of the respiration intensity of this species of fish at the preset temperature can be determined. Considering the temperature correction factor for respiratory intensity = Temperature correction factor for energy maintenance of life functions , representing the ratio of respiratory intensity at the current temperature to that at the preset temperature, and the energy requirement correction at different temperatures, respectively. Finally, the standard curve of metabolic intensity varying with temperature is y= Optional, =a(T i -T0)+b (where, = a and b are constants, where a represents the coefficient. Multiplying the nonlinear equation by the standard respiratory rate yields the metabolic space at the current temperature, which is a constant multiplied by a function that varies with temperature. The effects of oxygen concentration and pressure on the standard energy requirement are negligible.

[0064] Therefore, Indicates being in Energy consumption at that time Indicates being in Energy consumption at that time ;but Dynamic equilibrium state It can be established and represented, specifically:

[0065]

[0066] in, Let i be the environmental parameter index value at time i. Let i be the environmental parameter index adjustment value at time i, that is, the corresponding adjusted index value.

[0067] It should be noted that, This represents the initial control values, i.e., the optimal environment and respiratory parameters for the fish.

[0068] When biomass is constant, i.e., the amount of aquatic products transported is fixed, the energy required to maintain life functions is a value that depends only on temperature, such as a life function temperature correction factor. =(T-15)÷30+1 represents the change in energy required to maintain normal metabolic function with temperature, which is approximately linear within the suitable temperature range (0-6℃) during cryogenic transport.

[0069] In conclusion, f i (x i )=f n (Oxygen concentration c) i Gas pressure P i Breathing intensity BQ i Temperature T i )∝Total biomass weight = Weight of a single individual × Number of transported individuals, where n represents the fish species and determines the fish body structure coefficient. , Thus, the relationship between environment, respiratory behavior, and energy metabolism was established. That is, the energy balance during transportation can be represented by monitoring the respiratory behavior characteristics and microenvironment parameters of fish; furthermore, the change trend of respiratory intensity can characterize the change of stress level.

[0070] Furthermore, based on the degree of stress in the fish, different prediction functions are adaptively selected to predict the fish's respiratory intensity over a future period. The predicted respiratory intensity is then compared with the expected value, thereby providing feedback to regulate the microenvironment. This allows for the assistance and rapid recovery of the fish's energy dynamic balance using an externally established dynamic equilibrium equation model.

[0071] The microenvironment control method for waterless live transport provided in this invention determines whether fish are under stress based on their respiratory behavior characteristics and microenvironment information. The respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information within the microenvironment in which the fish resides. If the fish are under stress, a first prediction function predicts the fish's respiratory intensity value over a future period; if the fish are not under stress, a second prediction function predicts the fish's respiratory intensity value over a future period. Based on the predicted and expected respiratory intensity values, an optimal control command is generated to regulate the microenvironment. This method uses the fish's behavioral response as the primary monitoring indicator. On one hand, the monitoring indicator is common, easily obtained, and low-cost; on the other hand, determining the fish's stress level based on its respiratory behavior characteristics is proactive and harmless to the fish. Adaptively regulating the microenvironment based on the fish's stress level and DEB theory allows for control of stress levels during waterless live transport from the environmental source, reducing stress accumulation during transport and effectively improving the quality of aquatic products.

[0072] To accurately determine whether a fish is under stress, in an optional embodiment, determining whether a fish is under stress based on its respiratory behavior characteristics and microenvironment information includes:

[0073] Based on the characteristics of fish respiratory behavior and microenvironment information, the cumulative respiratory intensity deviation rate of fish is calculated;

[0074] Based on the cumulative respiratory intensity deviation rate, it is determined whether the fish is under stress.

[0075] The cumulative respiratory intensity deviation rate is the sum of respiratory intensity deviation rates over a period of time, and the respiratory intensity deviation rate is calculated based on the following formula:

[0076] ;

[0077] in, Indicates the rate of deviation of breathing intensity. Indicates the specified time Internal average respiratory rate, Indicates the monitoring period Intra-unit respiratory intensity, , Indicates the fish body during the monitoring period Respiratory rate within the body, Indicates the fish body during the monitoring period The internal respiratory angle amplitude is determined based on the difference between the maximum and minimum respiratory angle amplitudes of the gills on both sides of the fish's body during a single respiration. It is a positive integer.

[0078] Specifically, Indicates the fish body during the monitoring period Respiratory rate within the body, This represents the fish's respiratory cycle. For example, if a fish breathes m=10 times in 1 minute, then... Second, ; This indicates the amplitude of the fish's respiratory angle during the monitoring period. Its value is expressed in radians, such as The respiratory angle amplitude is the difference between the maximum and minimum respiratory angle amplitudes of both gills during a single respiration.

[0079] .

[0080] Here, respiratory intensity per unit time The respiratory angle amplitude multiplied by the unit time represents the respiratory intensity per unit time. The respiratory frequency multiplied by the time is converted into the number of breaths n. The respiratory amplitude BA of the number of breaths is accumulated to equal the respiratory intensity.

[0081] In this embodiment of the invention, the breathing intensity deviation rate is calculated by comparing the breathing intensity per unit time with a specified time. The percentage difference between the average respiratory intensity and the mean respiratory intensity during the monitoring period is used as an indicator to reflect the degree of deviation of the respiratory intensity from its mean respiratory intensity, thereby revealing the trend of changes in respiratory intensity to approximately characterize changes in stress levels; this is known as the respiratory intensity deviation rate. Stress intensity is represented by respiratory behavior characteristic parameters, which can be greater than or less than zero. When equal to zero, it corresponds to the standard respiratory intensity.

[0082] Understandably, when at a specified time When the respiratory intensity is under ideal, stress-free conditions, the average respiratory intensity is the standard value of respiratory intensity. .

[0083] Preferably, the cumulative respiratory intensity deviation rate is the sum of the absolute values ​​of respiratory intensity deviation rates over a period of time, which can approximate the cumulative stress intensity value. This will be used for subsequent evaluation of other applications.

[0084] The waterless live transport microenvironment control method provided in this invention reflects the changes in stress level by the trend of changes in respiration intensity, providing a basis for subsequent microenvironment control.

[0085] Based on any of the above embodiments, the step of generating optimal control commands based on predicted and expected respiratory intensity values ​​to regulate the microenvironment includes:

[0086] Based on the difference between the respiratory intensity value and the expected value, an objective function is constructed, where the expected value is the respiratory intensity of the fish in a preset microenvironment.

[0087] Minimize the objective function to obtain a set of optimal control variable solutions;

[0088] Based on the optimal control variable solution, the microenvironment is regulated.

[0089] Optionally, the expected value function of respiratory intensity is expressed as: ,Pick That is, the expected value of breathing intensity is the past Time period The average respiratory intensity within a given time period ensures the stability of respiratory intensity. Number of That is, the corresponding prediction length p The objective function can be set according to actual usage requirements. as follows:

[0090] ;

[0091] in, This represents the predicted respiratory intensity value. This represents the expected value of respiratory intensity. These are non-negative weighting coefficients, representing the weights at future sampling times. The proportion of the deviation in the objective function can be set according to specific implementation requirements; optionally, take... Decreasing sequentially.

[0092] Furthermore, selecting the solution with the lowest energy consumption or the smallest overall change in environmental parameters as the optimal control variable solution generates the following optimization problem:

[0093] ;

[0094] ;

[0095] in, This represents the comprehensive change in environmental indicator parameters. This refers to the amount of oxygen concentration adjusted at a given moment. The value of the adjusted air pressure at a certain moment. The magnitude of the temperature adjustment at a given moment. , and These are the weighting coefficients for the three factors, which can be set according to actual needs;

[0096] set up express The dynamic monitoring value at any given time is the independent variable; This represents the initial position, which is a constant coefficient in an application, i.e., the optimal solution of the system. Represents the calculated The environmental parameter control index at any time is used to enable the target aquatic products to quickly return to the equilibrium state during dormancy, that is, the corresponding adjusted index. This represents the amount of adjustment at a certain moment, i.e. = - , = - , = - , which represents the adjustment value of each indicator.

[0097] Solving the above optimization problem yields the time interval. Given a set of control variables within a given time period p, calculate a set of control variables within that time period p, expressed as follows: ， The Rolling Horizon Control (RHC) method is used, with the primary control value in the first column, i.e. Then, rolling predictions are performed, and the updated optimization problem is solved again to continuously adjust and control the microenvironment.

[0098] The system determines whether transportation is complete. If not, it continues to regulate the microenvironment. If transportation is complete, it calculates the final stress level based on a cumulative stress model. This will provide a reference for subsequent handling.

[0099] In an optional embodiment, the first prediction function is as follows:

[0100] ;

[0101] in, This represents the respiratory intensity value of the fish in the i-th unit of time. Indicates the initial solution Energy required for the fish to survive. This represents the temperature correction factor for the vital functions of the fish. This indicates the additional energy source needed to maintain energy balance when stress occurs. Indicates the fish body structure coefficient. Represents the oxygen concentration in the i-th unit of time. The air pressure in the i-th unit of time. This represents the microenvironmental pressure value that balances the internal and external environment of the fish during live transport, specifically the gas osmotic pressure of the fish's gills.

[0102] Optionally, ;

[0103] in, This represents the deviation rate of respiratory intensity, which is used to approximate the degree of stress. The stress metabolic energy expenditure coefficient of fish is the ratio of the increased energy expenditure to the unit stress level when coping with stress. The decay function represents the decrease in stress level over time, i.e., the natural calming process. The specific calculation method is not restricted here.

[0104] Preferably, ;

[0105] in, Indicates the attenuation coefficient. It is a fixed constant. Indicates ordinal number.

[0106] Optionally, the estimated fish body structure coefficient Coefficient of fish stress metabolism energy expenditure The parameters are obtained using parameter estimation methods such as least squares or maximum likelihood estimation. Specifically:

[0107] Various indicators related to the body structure of the target fish species, such as , The oxygen consumption was estimated using the standard metabolic rate (SMR) method for fish (ṀO2-SMR, mg / h). The formula for calculating oxygen consumption is as follows: ṀO2-SMR = V × (CO2-SMR, mg / h) 2blank -CO 2fish ), where CO 2blan k and CO 2fish(mg / L) represents the oxygen concentration level at the outlet of the blank (no fish) tube and the experimental (with fish) tube, respectively. V is the gas flow rate (L / h) of the fish chamber (or blank chamber), which is calculated by measuring the time it takes for the outflowing gas from the outlet of the fish chamber (or blank chamber) to fill a 1L volumetric flask. Referring to the energy metabolism balance equation under stress, after obtaining Under the premise of [the above], further estimations were completed.

[0108] Here, in the initial solution of the optimal solution Nearby, representing the optimal values ​​of each parameter, i.e., the initial values ​​of the model input. Based on the estimated values ​​of K and Q in the model. , It can be seen that the initial values ​​of different aquatic products are different.

[0109] Preferably, set , which represents the upper limit of each actual parameter in the waterless live transport microenvironment regulation model, specifically the upper limit of key environmental factors such as oxygen concentration, gas pressure and temperature; This indicates the lower limit of the above indicators and parameters. It is understandable that... , This constitutes a control range within which the model exhibits optimal effectiveness, and Within this range, the fish experiences the least stress.

[0110] In an optional embodiment, the second prediction function is as follows:

[0111] ;

[0112] in, This represents the respiratory intensity value of the fish in the i-th unit of time. Indicates the initial solution Energy required for the fish to survive. This represents the temperature correction factor for the vital functions of the fish. Indicates the fish body structure coefficient. Represents the oxygen concentration in the i-th unit of time. The air pressure in the i-th unit of time. This represents the microenvironmental pressure value that balances the internal and external environment of the fish during live transport, specifically the gas osmotic pressure of the fish's gills.

[0113] Furthermore, the fish body structure coefficient includes the component coefficients in the following formula:

[0114] ;

[0115] in, This represents the estimated value of the fish body structure coefficient, which can be obtained from parameter estimation; fish body structure coefficient The inhaled gas structure coefficient represents the ratio of inhaled gas volume to respiratory intensity; fish body structure coefficient. The gill oxygen permeability coefficient represents the ratio of actual oxygen intake to total gas intake per unit gas pressure and concentration; the fish body structure coefficient... This represents the energy conversion structure coefficient, which is the ratio of converted energy to oxygen consumption during normal metabolism. These structure coefficient parameters can be considered fixed values ​​given a specific target aquatic product species and size.

[0116] The following describes the waterless live transport microenvironment control device provided in the embodiments of the present invention. The waterless live transport microenvironment control device described below can be referred to in correspondence with the waterless live transport microenvironment control method described above.

[0117] Figure 3 This is a schematic diagram of the structure of the waterless live transport microenvironment control device provided by the present invention, as shown below. Figure 3 As shown, the waterless live transport microenvironment control device may include, but is not limited to;

[0118] The determination module 310 is used to determine whether the fish is under stress based on the fish's respiratory behavior characteristics and microenvironment information. The fish's respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information in the microenvironment in which the fish is located.

[0119] The calculation module 320 is used to predict the respiratory intensity value of the fish in a future period of time using a first prediction function if the fish is under stress; and to predict the respiratory intensity value of the fish in a future period of time using a second prediction function if the fish is not under stress.

[0120] The regulation module 330 is used to generate optimal control commands based on the predicted and expected values ​​of respiratory intensity to regulate the microenvironment.

[0121] It should be noted that the waterless live transport microenvironment control device provided in this embodiment of the invention can execute the waterless live transport microenvironment control method described in any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0122] The waterless live transport microenvironment control system provided in the embodiments of the present invention is described below. The waterless live transport microenvironment control system described below can be referred to in correspondence with the waterless live transport microenvironment control method described above.

[0123] Figure 4 This is a schematic diagram of the structure of the waterless live transport microenvironment control system provided by the present invention, as shown below. Figure 4 As shown, the waterless live transport microenvironment control system may include, but is not limited to, a microenvironment parameter acquisition module, a fish respiratory behavior characteristic monitoring module, a model module, a calculation and processing module, a control command generation module, and a microenvironment control module;

[0124] The microenvironment parameter acquisition module is used to acquire the values ​​of microenvironment parameter indicators in the environment;

[0125] The model module is used to store the aforementioned relevant parameters, indicators, and models;

[0126] The calculation and processing module is used to solve for the control variables mentioned above;

[0127] The control command generation module and the microenvironment control module are used to execute control commands and complete the control of the microenvironment;

[0128] The monitoring module for fish respiratory behavior characteristics uses one or more methods such as sound wave sensing, video analysis, distance sensor, angle sensor, and vibration sensing to acquire respiratory frequency and respiratory angle amplitude values, and calculates parameters described in the above methods, such as maintaining life energy balance, respiratory intensity, and stress level.

[0129] Understandably, since the fish head is a rigid body, monitoring the gills on both sides of the head can obtain respiratory behavior parameters. Therefore, it is necessary to simply constrain and fix the fish's head and keep the module relatively stationary to better obtain the aforementioned respiratory behavior parameters. Monitoring respiratory behavior can be done using methods including, but not limited to, pixel-based methods and optical flow methods, to obtain respiratory frequency and respiratory angle amplitude, and to calculate respiratory intensity, etc.

[0130] It should be noted that, Figure 4 A schematic diagram of a system for controlling the microenvironment of anhydrous live transport is shown. For descriptive purposes, the illustrated architecture is merely an example of a suitable environment and does not imply any limitation on the scope or functionality of this application. Nor should this system be construed as an extension of... Figure 4 Any component shown or a combination thereof has any dependencies or requirements.

[0131] It should be noted that the waterless live transport microenvironment control system provided in this embodiment of the invention can execute the waterless live transport microenvironment control method described in any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0132] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call logical instructions in the memory 530 to execute a waterless live transport microenvironment control method. This method includes: determining whether the fish is under stress based on the fish's respiratory behavior characteristics and microenvironment information, wherein the fish's respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information in the microenvironment in which the fish is located; if the fish is under stress, using a first prediction function to predict the fish's respiratory intensity value in the future period; if the fish is not under stress, using a second prediction function to predict the fish's respiratory intensity value in the future period; and generating optimal control instructions based on the predicted and expected respiratory intensity values ​​to regulate the microenvironment.

[0133] Furthermore, the logical instructions in the aforementioned memory 530 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0134] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the waterless live transport microenvironment control method provided by the above methods. The method includes: determining whether the fish is under stress based on the fish's respiratory behavior characteristics and microenvironment information, wherein the fish's respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information in the microenvironment in which the fish is located; if the fish is under stress, using a first prediction function to predict the fish's respiratory intensity value in the future; if the fish is not under stress, using a second prediction function to predict the fish's respiratory intensity value in the future; and generating an optimal control command based on the predicted respiratory intensity value and the expected value to regulate the microenvironment.

[0135] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program performs the waterless live transport microenvironment control method provided by the above methods. The method includes: determining whether a fish is under stress based on fish respiratory behavior characteristics and microenvironment information, wherein the fish respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information in the microenvironment in which the fish is located; if the fish is under stress, using a first prediction function to predict the fish's respiratory intensity value over a future period of time; if the fish is not under stress, using a second prediction function to predict the fish's respiratory intensity value over a future period of time; and generating an optimal control command based on the predicted and expected respiratory intensity values ​​to regulate the microenvironment.

[0136] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0137] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention 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; and these 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 the present invention.

Claims

1. A method for controlling the microenvironment during waterless, live transport, characterized in that, include: Based on the fish's respiratory behavior characteristics and microenvironment information, it is determined whether the fish is under stress. The fish's respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes the environmental information of the microenvironment in which the fish is located. If the fish is under stress, the first prediction function is used to predict the respiratory intensity of the fish over a future period of time. If the fish is not under stress, the second prediction function is used to predict the respiratory intensity of the fish in the future. Based on the predicted and expected values ​​of respiratory intensity, optimal control commands are generated to regulate the microenvironment. The determination of whether a fish is under stress based on its respiratory behavior characteristics and microenvironment information includes: Based on the characteristics of fish respiratory behavior and microenvironment information, the cumulative respiratory intensity deviation rate of fish is calculated; Based on the cumulative respiratory intensity deviation rate, it is determined whether the fish is under stress. The cumulative respiratory intensity deviation rate is the sum of respiratory intensity deviation rates over a period of time, and the respiratory intensity deviation rate is calculated based on the following formula: ； in, Indicates the rate of deviation of breathing intensity. Indicates the specified time Internal average respiratory rate, Indicates the monitoring period Intra-unit respiratory intensity, , Indicates the fish body during the monitoring period Respiratory rate within the body, Indicates the fish body during the monitoring period The internal respiratory angle amplitude sequence, wherein the respiratory angle amplitude is determined based on the difference between the maximum and minimum respiratory angle amplitudes of the gills on both sides of the fish during a single respiration. It is a positive integer; The first prediction function is as follows: ； in, This represents the respiratory intensity value of the fish in the i-th unit of time. Indicates the initial solution The energy required for the fish to survive. This represents the temperature correction factor for the vital functions of the fish. This indicates the additional energy source needed to maintain energy balance when stress occurs. Indicates the fish body structure coefficient. This represents the oxygen concentration in the i-th unit of time. This represents the air pressure in the i-th unit of time. This represents the microenvironmental pressure value that balances the internal and external environment of a fish during live transport, specifically the gas osmotic pressure of the fish's gills. The second prediction function is as follows: ； in, This represents the respiratory intensity value of the fish in the i-th unit of time. Indicates the initial solution The energy required for the fish to survive. This represents the temperature correction factor for the vital functions of the fish. Indicates the fish body structure coefficient. This represents the oxygen concentration in the i-th unit of time. This represents the air pressure in the i-th unit of time. This represents the microenvironmental pressure value that balances the internal and external environment of the fish during live transport, specifically the gas osmotic pressure of the fish's gills.

2. The waterless preservative transport microenvironment control method according to claim 1, characterized in that, The process of generating optimal control commands based on predicted and expected respiratory intensity values ​​to regulate the microenvironment includes: Based on the difference between the respiratory intensity value and the expected value, an objective function is constructed, where the expected value is the respiratory intensity of the fish in a preset microenvironment. Minimize the objective function to obtain a set of optimal control variable solutions; Based on the optimal control variable solution, the microenvironment is regulated.

3. The waterless preservative transport microenvironment control method according to claim 1, characterized in that, The predicted respiratory intensity value was obtained based on the following energy dynamic balance equation: ； in, express The dynamic equilibrium equation at the location; Indicates being in Energy consumption during the process; Indicates being in Energy consumption during the process; Let i be the environmental parameter index value at time i. This represents the environmental parameter index adjustment value at time i, i.e., the corresponding adjusted index value. This represents the initial control values, i.e., the optimal environmental and respiratory parameters for the fish. Initial respiratory intensity, This is the initial respiratory angle amplitude. This represents the initial oxygen concentration. The initial gas pressure, The initial temperature; Let i be the respiratory intensity regulation value at time i; Let be the oxygen concentration control value at time i; Let be the gas pressure control value at time i; To maintain the microenvironmental air pressure value that balances the internal and external environment of fish during live transportation; The temperature correction coefficient for fish life functions at time i is the control value. The fish body structure coefficient is calculated based on the following formula: ； in, Represents fish body structure coefficients, fish body structure parameters Indicates the structural coefficient of inhaled gas and fish body structural parameters. This represents the oxygen permeability coefficient of fish gills and a structural parameter of fish body. This represents the energy conversion structure coefficient.

4. A waterless, live-preserving transport microenvironment control device, characterized in that, The method for controlling the microenvironment during waterless transport as described in claim 1 includes: The determination module is used to determine whether a fish is under stress based on its respiratory behavior characteristics and microenvironment information. The respiratory behavior characteristics characterize the fish's respiratory intensity, and the microenvironment information includes environmental information in the microenvironment in which the fish is located. The calculation module is used to predict the respiratory intensity value of the fish in the future period of time using a first prediction function if the fish is under stress; and to predict the respiratory intensity value of the fish in the future period of time using a second prediction function if the fish is not under stress. The regulation module is used to generate optimal control commands based on the predicted and expected values ​​of respiratory intensity to regulate the microenvironment.

5. 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 waterless live transport microenvironment control method as described in any one of claims 1 to 3.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the waterless live transport microenvironment control method as described in any one of claims 1 to 3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the waterless live transport microenvironment control method as described in any one of claims 1 to 3.

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