Microenvironment intelligent maintenance system for agricultural products with high added value

Abstract

The invention relates to the technical field of storage of high-value-added agricultural products, and discloses a high-value-added agricultural product microenvironment intelligent maintenance system, which comprises an input module used for inputting the variety and quantity of high-value-added agricultural products needing to be placed in a sealed goods shelf or a sealed stack position; the design module is used for designing output values of environmental factors according to the types and the quantity of the high-added-value agricultural products in the sealed goods shelf or the sealed stack position; the execution module is used for performing output execution of the environmental factors according to the output numerical values of the environmental factors designed by the design module; the monitoring module is used for monitoring the actual numerical values of the environmental factors in the sealed goods shelf or the sealed stack position to obtain environmental monitoring data; the alarm module is used for giving an alarm when the environment monitoring data exceed a set threshold value; and the terminal module is used for receiving, analyzing and displaying the environment monitoring data and the alarm data. According to the method, the effect of differentially regulating and controlling the environmental indexes of the independent sealing stacking positions or the sealing goods shelves is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of storage of high value-added agricultural products, and in particular to a microenvironment intelligent maintenance system for high value-added agricultural products. Background Art

[0002] High value-added agricultural products refer to those agricultural products that can generate higher economic added value after deep processing or fine treatment. Such agricultural products usually have unique quality characteristics, such as taste, nutrition and appearance, which make them highly competitive and attractive in the market. Through deep processing, the original value of these agricultural products is enhanced, thus providing consumers with richer and higher-quality product choices.

[0003] High value-added agricultural products have the characteristics of long processing chains, that is, the deep processing process of high value-added agricultural products usually involves multiple links, such as cleaning, sorting, packaging and storage (or storage), etc. These links not only increase the added value of the products, but also provide more employment opportunities and economic benefits for related industries, especially in the storage (storage) link (during the storage period), which takes a long time. At the same time, many high value-added agricultural products are currently controlled based on experience or technical manuals as references during the storage period, which has subjective problems. At the same time, since the warehouses for storing high value-added agricultural products are usually very large, the environmental factors in the warehouse cannot be well controlled. Therefore, how to better and objectively regulate the environmental factors of high value-added agricultural products during the storage period is an issue that needs to be considered urgently. Summary of the invention

[0004] The present invention provides a high value-added agricultural product microenvironment intelligent maintenance system to solve the above problems.

[0005] The present invention is achieved through the following technical solutions:

[0006] A high value-added agricultural product microenvironment intelligent maintenance system, comprising:

[0007] An input module is used to input the types and quantities of high value-added agricultural products that need to be placed in sealed shelves or sealed stacks;

[0008] A design module for designing output values ​​of environmental factors according to the types and quantities of high value-added agricultural products in sealed shelves or sealed stacks;

[0009] An execution module, used for executing the output of the environmental factor according to the output value of the environmental factor designed by the design module;

[0010] A monitoring module, used to monitor actual values ​​of environmental factors in sealed shelves or sealed stacks to obtain environmental monitoring data;

[0011] An alarm module is used to generate an alarm when the environmental monitoring data exceeds a set threshold;

[0012] The terminal module is used to receive the environmental monitoring data and the alarm data, and analyze and display the environmental monitoring data and the alarm data.

[0013] As an optimization, the design module includes

[0014] The design model solved by the golden jackal optimization algorithm includes an optimization object based on the actual set value of the execution module and the actual execution time length of the set value, and an objective function of minimizing the total storage cost in a single sealed shelf or sealed stack under the premise of satisfying the storage conditions. The specific process of solving the design model by the golden jackal optimization algorithm is as follows:

[0015] A1. Initialize the population position and the maximum number of iterations, wherein the population includes a plurality of preys, each of which is composed of an actual set value of an execution module and the actual execution time length of the set value;

[0016] A2. Calculate the fitness value of each individual's location, select the prey with the best fitness value as the male golden jackal, and the prey with the second best fitness value as the female golden jackal;

[0017] A3. In the exploration phase, the positions of the male and female golden jackals are updated. The specific formula is:

[0018] R1(t)=R M (t)-E*|R M (t)-γl*Prey(t)|;

[0019] R2(t)=R FM (t)-E*|R FM (t)-γl*Prey(t)|;

[0020] R M (t), R FM (t) represents the positions of the male and female golden jackals at the t-th iteration, R1(t) and R2(t) represent the updated positions of the male and female golden jackals at the t-th iteration, E represents the escape energy of the prey, γ is a random number between 0 and 1, γl represents a random number based on Levy distribution, and Prey(y) represents the prey matrix Prey at the t-th iteration;

[0021] A4. When the escape energy E of the prey is less than 1, the development phase is entered, and the positions of the male and female golden jackals are updated. The specific formula is:

[0022] R1(t)=R M (t)-E*|γl*R M(t)-Prey(t)|;

[0023] R2(t)=R FM (t)-E*|γl*R FM (t)-Prey(t)|;

[0024] A5. When the maximum number of iterations t is reached max When , the position of the golden jackal is updated and the updated position of the golden jackal is used as the output, where the update formula of the position of the golden jackal is:

[0025] Among them, R1(t max -1) is (t max -1) iterations, R2(t max -1) is (t max -1) The position of the female golden jackal in iteration .

[0026] As an optimization, the quantity of the high value-added agricultural products is in boxes, and the boxes of the same type of high value-added agricultural products have the same volume.

[0027] As an optimization, the sealed shelf includes a multi-layer open shelf and a sealed cover. When the high value-added agricultural products are placed on the sealed shelf, the sealed cover is heat-sealed so that the sealed cover wraps the open shelf, and a through hole is opened on the sealed cover for connecting to the execution module pipeline network, and the execution module is connected to the interior of the sealed cover through the pipeline network.

[0028] As an optimization, the sealed stack includes an open stack and a sealing cover. When the high value-added agricultural products are placed on the open stack, the sealing cover is heat-sealed so that the sealing cover wraps the open stack and the high value-added agricultural products, and a through hole is opened on the sealing cover for connecting to the execution module pipeline network, and the execution module is connected to the interior of the sealing cover through the pipeline network.

[0029] As an optimization, the environmental factors include temperature, humidity and oxygen concentration.

[0030] As an optimization, the execution module includes a fresh air unit, a nitrogen generator and a dehumidifier.

[0031] As an optimization, the execution module is connected to the sealing covers of different sealed shelves or sealed stacks through different pipes, and each of the pipes is provided with a control switch for controlling the size of environmental factors.

[0032] As an optimization, the maintenance operation includes pest control operation and / or freshness preservation operation and / or aging operation.

[0033] As an optimization, the types of high value-added agricultural products in the same sealed shelf or sealed stack are the same.

[0034] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0035] 1. The present invention constructs a sealed microenvironment for high-value-added agricultural products by constructing sealed shelves or sealed stacks in the warehouse, completely isolating the high-value-added agricultural products from the external natural environment, and performing pest control operations in the sealed shelves or sealed stacks, thereby preventing cross-infection from external insect sources. As a result, the entire storage period only requires one pest control treatment when the products are put into storage, thereby simplifying the storage operation process;

[0036] 2. The system of the present invention completely isolates high value-added agricultural products from the external environment, which is less affected by external humidity changes, and can effectively inhibit the mold of high value-added agricultural products in a low-oxygen environment;

[0037] 3. The nitrogen generator is connected to each sealed stack or sealed shelf through a pipeline, and high-purity nitrogen is directly filled into the sealed microenvironment of the independent sealed stack to achieve low-oxygen insecticide operation, thereby achieving the effect of green insecticide control;

[0038] 4. According to the characteristics and quantity of different high-value-added agricultural products, the environmental indicators of independent sealed stacks or sealed shelves are adjusted in a differentiated manner, so that the environmental factors in the sealed stacks or sealed shelves always maintain stable and excellent standards;

[0039] 5. Through the design module in the present invention, the design values ​​of environmental factors can be set objectively, making the parameter setting process more standardized and more applicable. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0041] Figure 1 A module connection diagram of the system of the present invention;

[0042] Figure 2 A schematic diagram of performing air tightness testing on a sealed stack or sealed shelf of the present invention;

[0043] Figure 3 is an architecture diagram of the system described in the present invention;

[0044] Figure 4 It is a schematic diagram of the display interface of the terminal module in the system of the present invention. DETAILED DESCRIPTION

[0045] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0046] It should be noted that the present invention is mainly a micro-environment intelligent maintenance system for storing high value-added agricultural products (also referred to as "products") placed in the form of stacks. Therefore, the high value-added agricultural products placed on the closed shelves in the present invention are all bundled stacks.

[0047] This embodiment 1 provides a high value-added agricultural product microenvironment intelligent maintenance system, such as Figure 1 As shown, including:

[0048] An input module is used to input the types and quantities of high value-added agricultural products that need to be placed in sealed shelves or sealed stacks;

[0049] Here, the categories of high value-added agricultural products include the type, variety and origin of high-value agricultural products. According to the type, variety and origin, the maintenance operations required for the high value-added agricultural products during storage, the standard environmental factors during the maintenance operations, and the response time of each maintenance operation can be obtained.

[0050] Here, the environmental factors include temperature, humidity and oxygen concentration. The curing operation includes pest control operation and / or fresh-keeping operation and / or alcoholization operation. The types of high value-added agricultural products in the same sealed shelf or sealed stack are the same.

[0051] That is to say, some high value-added agricultural products need to be first subjected to pest control, then to alcoholization, and then to preservation, while some high value-added agricultural products are directly subjected to preservation after pest control. Therefore, different high value-added agricultural products need to be subjected to different maintenance operations. In the present invention, by setting sealed shelves or sealed stacks, high value-added agricultural products belonging to different species are placed in separate stacks or shelves in a sealed manner. Multiple high value-added agricultural products can be placed in the same warehouse at the same time, and multiple high value-added agricultural products are subjected to maintenance operations respectively, without interfering with each other, and are less affected by external environmental factors. At the same time, the temperature and humidity in the warehouse fluctuate within a very small range, that is, the environment in which the sealed stacks or sealed shelves are located is an environment in which the temperature and humidity are relatively stable, that is, the environmental fluctuation of the warehouse in which the high value-added agricultural products are located is small.

[0052] It should also be noted that the quantity of the high value-added agricultural products is in boxes, and the boxes of the same type of high value-added agricultural products have the same volume.

[0053] A design module for designing output values ​​of environmental factors according to the types and quantities of high value-added agricultural products in sealed shelves or sealed stacks;

[0054] An execution module, used for executing the output of the environmental factor according to the output value of the environmental factor designed by the design module;

[0055] More specifically, the sealed shelf includes a multi-layer open shelf and a sealed cover. When the high value-added agricultural products are placed on the sealed shelf, the sealed cover is heat-sealed so that the sealed cover wraps the open shelf, and a through hole for connecting to the execution module pipeline is opened on the sealed cover. The execution module is connected to the interior of the sealed cover through the pipeline.

[0056] The sealed stack includes an open stack and a sealing cover. When the high value-added agricultural products are placed on the open stack, the sealing cover is heat-sealed so that the sealing cover wraps the open stack and the high value-added agricultural products, and a through hole for connecting to the execution module pipeline is opened on the sealing cover, and the execution module is connected to the interior of the sealing cover through the pipeline.

[0057] Generally speaking, the execution module includes a fresh air unit, a nitrogen generator and a dehumidifier.

[0058] The oxygen concentration in the sealed hood can be controlled by the fresh air unit and the nitrogen generator, the temperature in the sealed hood can be controlled by the fresh air unit, and the humidity in the sealed hood can be controlled by the fresh air unit and the dehumidifier. The specific control method is the existing technology, and you can refer to the operation mode of the central air-conditioning in the office building, that is, the central air-conditioning (executing equipment) is controlled by different areas to achieve different actual set values ​​of environmental factors in different areas.

[0059] More specifically, the execution module is connected to the sealing covers of different sealed shelves or sealed stacks through different pipes (sub-pipes), and each of the pipes is provided with a control switch for controlling the size of environmental factors.

[0060] That is to say, the output end of the execution module is connected to a main pipeline, and the main pipeline is divided into multiple sub-pipes which are respectively connected to the sealing covers of different sealed shelves or sealed stacks. If there are multiple execution modules, then each execution module has a main pipeline, and the main pipeline of each execution module is divided into multiple sub-pipes, and each execution module has a sub-pipeline connected to the sealing cover of each sealed shelf or sealed stack.

[0061] The gas flow rate (flow rate) in the main pipeline of the execution equipment is constant, and then the flow rate on the sub-pipeline is controlled by the switch set on the sub-pipeline. That is, the flow rate of different sub-pipelines on the same main pipeline will be different due to the different openings of the switches set on each sub-pipeline.

[0062] like Figure 2 As shown, after the sealing cover is heat-sealed on the sealed stack or sealed shelf (the different side walls of the plastic sealing cover are hot-melted by a heat sealing machine and then the different side walls are glued together), the sealing inside the sealing cover must be tested to ensure the sealing of the sealed stack or sealed shelf.

[0063] Next, the key module of the present invention: the design module is specifically introduced.

[0064] The design module includes a design model solved by the golden jackal optimization algorithm, the design model includes an optimization object based on the actual set value of the execution module and the actual execution time length of the set value, and an objective function of minimizing the total storage cost in a single sealed shelf or sealed stack under the premise of satisfying storage conditions. The specific process of solving the design model by the golden jackal optimization algorithm is as follows:

[0065] A1. Initialize the population position and the maximum number of iterations, wherein the population includes a plurality of preys, each of which is composed of an actual set value of an execution module and the actual execution time length of the set value;

[0066] A2. Calculate the fitness value of each individual's location, select the prey with the best fitness value as the male golden jackal, and the prey with the second best fitness value as the female golden jackal;

[0067] Here, the optimal fitness value refers to the prey closest to the objective function, that is, the prey with the lowest total storage cost in a single sealed shelf or sealed stack under the premise of meeting the storage conditions (the actual setting value of the execution module and the actual execution time length of the setting value). Here, the storage conditions refer to the storage temperature, humidity and oxygen concentration of high value-added agricultural products. The suboptimal fitness value is the prey that is second closest to the objective function.

[0068] In this embodiment, the prey with the best fitness value and the second best fitness value are the prey with the lowest and second lowest total storage cost in the iteration.

[0069] Since each sealed shelf or sealed stack is independently supplied with temperature, humidity and oxygen concentration, it is sufficient to find the optimal temperature, humidity and oxygen concentration for each independent sealed shelf or sealed stack (the total storage cost is the lowest under the storage conditions).

[0070] A3. In the exploration phase, the positions of the male and female golden jackals are updated. The specific formula is:

[0071] R1(t)=R M (t)-E*|R M (t)-γl*Prey(t)|;

[0072] R2(t)=R FM (t)-E*|R FM (t)-γl*Prey(t)|;

[0073] R M (t), R FM (t) represents the positions of the male and female golden jackals at the t-th iteration, R1(t) and R2(t) represent the updated positions of the male and female golden jackals at the t-th iteration, E is the escape energy of the prey, γ is a random number between 0 and 1, γl represents a random number based on Levy distribution, Prey(t) represents the prey matrix Prey at the t-th iteration;

[0074] A4. When the escape energy E of the prey is less than 1, the development phase is entered, and the positions of the male and female golden jackals are updated. The specific formula is:

[0075] R1(t)=R M (t)-E*|γl*R M (t)-Prey(t)|;

[0076] R2(t)=R FM (t)-E*|γl*R FM (t)-Prey(t)|;

[0077] A5. When the maximum number of iterations t is reached max When , the position of the golden jackal is updated and the updated position of the golden jackal is used as the output, where the update formula of the position of the golden jackal is:

[0078] Among them, R1(t max -1) is (t max -1) iterations, R2(t max -1) is (t max -1) The position of the female golden jackal in iteration .

[0079] In some embodiments, the prey matrix Prey is represented as:

[0080]

[0081] Among them, R k represents the kth prey, R k =[R k1 R k2 … Rkd ], R ke represents the solution of the e-th dimension optimization problem of the k-th prey, k∈[1,p], e∈[1,d], d is the dimension of the optimization problem to be solved, and p is the number of prey in the population;

[0082] The escape energy E of the prey is expressed as:

[0083]

[0084] Among them, E1 represents the decreasing process of prey energy, E0 represents the initial state of prey energy, r is a random number ranging from 0 to 1, c1 is a constant, and t is the current number of iterations;

[0085] The specific expression of the random number γl based on Levy distribution is:

[0086] γl=0.05*LF(y);

[0087] Where LF(y) is the Levy flight function,

[0088] μ and v are random numbers ranging from 0 to 1, β is a constant. In this embodiment, β=1.5, Γ(·) represents the Gamma function, and Γ(y)=(y-1)!

[0089] Since the warehouse environment is a relatively stable temperature and humidity environment, the external environment of the tobacco leaves fluctuates little during the entire storage process. Because the external environment fluctuates little, the impact on the environmental fluctuations inside the sealed cover is also small. Therefore, the control of environmental factors inside the sealed cover can be achieved with relatively single parameters.

[0090] For example, if the sealed stack is always in an environment of 25 degrees Celsius, then to control the environment inside the sealed stack at around 30 degrees Celsius, at this time, the switch opening (opening) on ​​the sub-pipeline between the fresh air unit and the sealed stack can be controlled by a parameter to keep the switch opening in a certain state, so that the environment inside the sealed stack is around 30 degrees Celsius.

[0091] When the gas flow rate is constant, the size of the switch opening can control the gas flow rate. Therefore, by controlling the switch opening, the actual setting value of the execution module in the sub-pipeline can be controlled. In other words, the switch opening on the sub-pipeline where the environmental factor is located is linearly related to the environmental factor in the sub-pipeline.

[0092] Here, the actual set value is the size of the environmental factor passing through the sub-duct. For example, if the environmental factor is temperature (the comprehensive temperature is controlled by the openings of the cold pipe and the hot pipe respectively, refer to the air conditioning operation principle), then the actual set value is the temperature of the air passing through the sub-duct.

[0093] The response time of the maintenance operation refers to the duration of each maintenance operation. For example, the insecticide operation is 2 weeks, the aging operation is 8 months, and the preservation operation is 1 month. Then, the actual execution time lengths of the actual set values ​​of the execution module in these operation stages are 2 weeks, 8 months, and 1 month, respectively. That is to say, in the 2 weeks of the insecticide operation, the actual set values ​​of the air flow and air temperature of the fresh air unit in the sub-pipeline can be A1 and B1, respectively, the actual set value of the exhaust flow of the dehumidifier in the sub-pipeline is C1, and the actual set value of the nitrogen flow of the nitrogen generator in the sub-pipeline is D1. That is to say, the duration of A1, B1, C1, and D1 is 2 weeks, and the same applies to other operations.

[0094] At the same time, due to the different quantities of high value-added agricultural products, the volumes of sealed stacks or sealed shelves will be different. To keep the environmental factors in the sealed stacks or sealed shelves the same, the actual set values ​​set by the execution module on the sub-pipes will be different. For example, the external ambient temperature is 25 degrees Celsius. For a large sealed stack and a small sealed stack, the ambient temperature in the sealed stack must be about 30 degrees Celsius. Then, the hot air flow rate of the sub-pipe of the large sealed stack must be greater than the hot air flow rate of the sub-pipe of the small sealed stack. Therefore, the actual set value of the sub-pipe can be obtained through the design model.

[0095] A monitoring module, used to monitor actual values ​​of environmental factors in sealed shelves or sealed stacks to obtain environmental monitoring data;

[0096] An alarm module is used to generate an alarm when the environmental monitoring data exceeds a set threshold;

[0097] The terminal module is used to receive the environmental monitoring data and the alarm data, and analyze and display the environmental monitoring data and the alarm data.

[0098] like Figure 3 As shown, it is the overall framework diagram of the system in the present invention. The input module and the design module are integrated in the PLC automatic control system, and the terminal module can be a user platform and a server platform. The input module can be operated through the terminal module. The monitoring module and the execution module are both arranged in the warehouse area.

[0099] The display screen for data display on the user platform is as follows Figure 4 shown.

[0100] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A high value-added agricultural product microenvironment intelligent maintenance system, characterized in that: include: An input module is used to input the types and quantities of high value-added agricultural products that need to be placed in sealed shelves or sealed stacks; A design module for designing output values ​​of environmental factors according to the types and quantities of high value-added agricultural products in sealed shelves or sealed stacks; An execution module, used for executing the output of the environmental factor according to the output value of the environmental factor designed by the design module; A monitoring module, used to monitor actual values ​​of environmental factors in sealed shelves or sealed stacks to obtain environmental monitoring data; An alarm module is used to generate an alarm when the environmental monitoring data exceeds a set threshold; The terminal module is used to receive the environmental monitoring data and the alarm data, and analyze and display the environmental monitoring data and the alarm data.

2. The high value-added agricultural product microenvironment intelligent maintenance system according to claim 1 is characterized in that: The design module includes a design model solved by the golden jackal optimization algorithm, the design model includes an optimization object based on the actual set value of the execution module and the actual execution time length of the set value, and an objective function of minimizing the total storage cost in a single sealed shelf or sealed stack under the premise of satisfying storage conditions. The specific process of solving the design model by the golden jackal optimization algorithm is as follows: A1. Initialize the population position and the maximum number of iterations, wherein the population includes a plurality of preys, each of which is composed of an actual set value of an execution module and the actual execution time length of the set value; A2. Calculate the fitness value of each individual's location, select the prey with the best fitness value as the male golden jackal, and the prey with the second best fitness value as the female golden jackal; A3. In the exploration phase, the positions of the male and female golden jackals are updated. The specific formula is: R1(t)=R M (t)-E*|R M (t)-γl*Prey(t)|; R2(t)=R FM (t)-E*|R FM (t)-γl*Prey(t)|; R M (t), R FM (t) represents the positions of the male and female golden jackals at the tth iteration, R1(t) and R2(t) represent the updated positions of the male and female golden jackals at the tth iteration, E is the escape energy of the prey, γ is a random number between 0 and 1, and γ l represents a random number based on Levy distribution, Prey(t) represents the prey matrix Prey of the t-th iteration; A4. When the escape energy E of the prey is less than 1, the development phase is entered, and the positions of the male and female golden jackals are updated. The specific formula is: R1(t)=R M (t)-E*|γl*R M (t)-Prey(t)|; R2(t)=R FM (t)-E*|γl*R FM (t)-Prey(t)|; A5. When the maximum number of iterations t is reached max When , the position of the golden jackal is updated and the updated position of the golden jackal is used as the output, where the update formula of the position of the golden jackal is: Among them, R1(t max -1) is (t max -1) iterations, R2(t max -1) is (t max -1) The position of the female golden jackal in iteration .

3. A high value-added agricultural product microenvironment intelligent maintenance system according to claim 2, characterized in that: The prey matrix Prey is expressed as: Among them, R k represents the kth prey, R k =[R k1 R k2 … R kd ], R ke represents the solution of the e-th dimension optimization problem of the k-th prey, k∈[1,p], e∈[1,d], d is the dimension of the optimization problem to be solved, and p is the number of prey in the population; The escape energy E of the prey is expressed as: Among them, E1 represents the decreasing process of prey energy, E0 represents the initial state of prey energy, r is a random number ranging from 0 to 1, c1 is a constant, and t is the current number of iterations; The specific expression of the random number γl based on Levy distribution is: γl=0.05*LF(y); Wherein, LF(y) is the Levy flight function, LF(y) = 0.01×(μ×σ) / (v(1 / β)), μ and v are random numbers ranging from 0 to 1, β is a constant, Γ(·) represents the Gamma function, Γ(y) = (y-1)! .

4. The high value-added agricultural product microenvironment intelligent maintenance system according to claim 1, characterized in that: The quantity of the high value-added agricultural products is in boxes, and the boxes of the same type of high value-added agricultural products have the same volume. The sealed shelves include multi-layer open shelves and sealed covers. When the high value-added agricultural products are placed on the sealed shelves, the sealed covers are heat-sealed so that the sealed covers wrap the open shelves, and a through hole for connecting to the pipe network of the execution module is opened on the sealed cover, and the execution module is connected to the interior of the sealed cover through the pipe network.

5. The high value-added agricultural product microenvironment intelligent maintenance system according to claim 1, characterized in that: The sealed stack includes an open stack and a sealing cover. After the high value-added agricultural products are placed on the open stack, the sealing cover is heat-sealed so that the sealing cover wraps the open stack and the high value-added agricultural products, and a through hole for connecting to the execution module pipeline is opened on the sealing cover, and the execution module is connected to the interior of the sealing cover through the pipeline.

6. A high value-added agricultural product microenvironment intelligent maintenance system according to claim 4 or 5, characterized in that: The environmental factors include temperature, humidity and oxygen concentration.

7. A high value-added agricultural product microenvironment intelligent maintenance system according to claim 6, characterized in that: The execution module includes a fresh air unit, a nitrogen generator and a dehumidifier.

8. The high value-added agricultural product microenvironment intelligent maintenance system according to claim 6, characterized in that: The execution module is connected to the sealing covers of different sealed shelves or sealed stacks through different pipelines, and each pipeline is provided with a control switch for controlling the size of environmental factors.

9. The high value-added agricultural product microenvironment intelligent maintenance system according to claim 2, characterized in that: The maintenance operation includes pest control operation and / or fresh-keeping operation and / or aging operation.

10. The high value-added agricultural product microenvironment intelligent maintenance system according to claim 1, characterized in that: The types of high value-added agricultural products in the same sealed shelf or sealed stack are the same.

Images