Container intelligent regulation and control method based on circulation system

Abstract

The invention provides a container intelligent regulation and control method based on a circulation system, and relates to the technical field of data processing, and the method comprises the steps: carrying out the real-time environment data collection of a container through configuring a plurality of environment data collection nodes for the container, and obtaining a plurality of real-time environment arrays; and the real-time environment array is transmitted to the environment circulation control cloud for environment control analysis, multiple circulation control strategies are generated, and the multiple environment data acquisition nodes control the multiple environment circulation control nodes to perform global environment regulation and control on the container based on the multiple circulation control strategies. The technical problems that in the prior art, intelligent environment regulation and control in a container are extensive, local environment fine regulation cannot be conducted, and the fresh keeping performance of transported objects in the transportation process is affected are solved. The technical effects that the physical environment of the container in the container is adjusted based on the circulating system, the environment adjusting precision in the container is improved, and the adaptability of environment adjusting and the container transportation object preservation requirement is improved are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an intelligent control method for containers based on a circulation system. Background Art

[0002] The existing container environmental control system often adopts a unified temperature and humidity control strategy, lacking the ability to fine-tune the characteristics of different areas or different goods.

[0003] For example, a traditional refrigerated container may maintain the entire space at a fixed temperature, and cannot provide independent cooling for certain fruits that require lower temperatures to keep fresh. Similarly, for humidity control, if the container cannot be adjusted regionally, fruits that require higher humidity may interact with other goods that require a dry environment, resulting in failure to achieve the ideal preservation effect. In addition, uneven distribution of air circulation may also result in insufficient ventilation of goods in certain areas, affecting their freshness.

[0004] In summary, the existing technology has the problem that the intelligent control of the environment inside the container is relatively extensive and cannot perform fine adjustment of the local environment, resulting in a technical problem that affects the preservation performance of the transported objects during the transportation process. Summary of the invention

[0005] The present application provides a container intelligent control method based on a circulation system, which is used to solve the technical problem that the intelligent control of the environment inside the container in the prior art is relatively extensive and cannot perform fine adjustment of the local environment, resulting in affecting the preservation performance of the transported objects during the transportation process.

[0006] In view of the above problems, the present application provides a container intelligent control method based on a circulation system.

[0007] The present application provides a container intelligent control method based on a circulation system, the method comprising: interactively obtaining the box design information of the container to be controlled, and adapting the environment collection architecture based on the box design information to obtain an environment information collection array, wherein the environment information collection array comprises a plurality of environment data collection nodes, and each environment data collection node is integrated with a thermistor, a surface tension humidity sensor, and a gas sensor; executing circulation system configuration based on the environment information collection array to obtain an environment circulation control array, wherein the environment circulation control array comprises a plurality of environment circulation control nodes, and each environment circulation control node is integrated with a temperature regulating pore, a humidity regulating pore, and an air regulating pore; pre-building an environment circulation control cloud, wherein the environment circulation control cloud comprises a parallel temperature control analysis branch, a humidity control analysis branch, and an air optimization branch. Analysis branch; pre-constructing a circulation system control architecture, wherein the circulation system control architecture is generated by connecting the multiple environmental data acquisition nodes with the multiple environmental circulation control nodes based on a wired communication interface, and then connecting the multiple environmental data acquisition nodes with the environmental circulation control cloud based on a wireless communication interface; in the circulation system control architecture, the multiple environmental data acquisition nodes perform real-time environmental data acquisition on the container to be controlled, obtain multiple real-time environmental arrays, and transmit the real-time environmental arrays to the environmental circulation control cloud for environmental control analysis, generate multiple circulation control strategies, and transmit them back to the multiple environmental data acquisition nodes; the multiple environmental data acquisition nodes control the multiple environmental circulation control nodes to perform local environmental regulation based on the multiple circulation control strategies, and complete the global environmental regulation of the container to be controlled.

[0008] The technical solution provided in this application has at least the following technical effects or advantages:

[0009] The method provided in the embodiment of the present application obtains the box design information of the container to be controlled through interaction, and adapts the environment collection architecture based on the box design information to obtain the environment information collection array, wherein the environment information collection array includes multiple environment data collection nodes, and each environment data collection node is integrated with a thermistor, a surface tension humidity sensor and a gas sensor; based on the environment information collection array, a circulation system configuration is executed to obtain an environment circulation control array, wherein the environment circulation control array includes multiple environment circulation control nodes, and each environment circulation control node is integrated with a temperature regulating pore, a humidity regulating pore and an air regulating pore; a pre-constructed environment circulation control cloud, wherein the environment circulation control cloud includes a parallel temperature control analysis branch, a humidity control analysis branch and an air optimization analysis branch; a pre-constructed circulation The loop system control architecture is generated by connecting the multiple environmental data acquisition nodes with the multiple environmental circulation control nodes based on a wired communication interface, and then connecting the multiple environmental data acquisition nodes with the environmental circulation control cloud based on a wireless communication interface; in the loop system control architecture, the multiple environmental data acquisition nodes collect real-time environmental data of the container to be controlled, obtain multiple real-time environmental arrays, and transmit the real-time environmental arrays to the environmental circulation control cloud for environmental control analysis, generate multiple circulation control strategies, and transmit them back to the multiple environmental data acquisition nodes; the multiple environmental data acquisition nodes control the multiple environmental circulation control nodes to perform local environmental regulation based on the multiple circulation control strategies, and complete the global environmental regulation of the container to be controlled. The technical effect of realizing the physical environment regulation of the container inside the box based on the circulation system, improving the environmental regulation accuracy inside the container and the adaptability of the environmental regulation to the storage requirements of the container transportation object is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic diagram of the process flow of the container intelligent control method based on the circulation system provided in this application;

[0011] Figure 2 A schematic diagram of the process of obtaining an environmental circulation control array in the container intelligent control method based on the circulation system provided in this application. DETAILED DESCRIPTION

[0012] This application provides a container intelligent control method based on a circulation system, which is used to solve the technical problem that the intelligent control of the environment in the container is relatively extensive in the prior art, and the local environment cannot be finely adjusted, which affects the preservation performance of the transported objects during the transportation process. The technical effect of realizing the physical environment adjustment of the container based on the circulation system, improving the accuracy of the environment adjustment in the container and the adaptability of the environment adjustment to the preservation requirements of the container transported objects is achieved.

[0013] Below, the technical solutions in the present invention will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments described herein. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. It should also be noted that, for the convenience of description, only the parts related to the present invention are shown in the accompanying drawings, rather than all of them.

[0014] like Figure 1 As shown, the present application provides a container intelligent control method based on a circulation system, the method comprising:

[0015] A100: Interactively obtain the box design information of the container to be controlled, and adapt the environment collection architecture based on the box design information to obtain the environment information collection array, wherein the environment information collection array includes multiple environment data collection nodes, and each environment data collection node is integrated with a thermistor, a surface tension humidity sensor and a gas sensor.

[0016] In one embodiment, Figure 2 As shown, the box design information of the container to be controlled is interactively obtained, and the environment collection architecture is adapted based on the box design information to obtain the environment information collection array, wherein the environment information collection array includes multiple environment data collection nodes, and each environment data collection node is integrated with a thermistor, a surface tension humidity sensor and a gas sensor. The method step A100 provided in the present application also includes:

[0017] A110: Interactively obtain the box design information of the container to be controlled, wherein the box design information includes box X-axis parameters, box Y-axis parameters and box Z-axis parameters.

[0018] A120: Perform axial combination enumeration on the box design information to obtain first combination design information, second combination design information and third combination design information.

[0019] A130: Synchronize the first combination design information, the second combination design information and the third combination design information to a pre-built acquisition architecture solution library to perform environmental acquisition architecture adaptation analysis to obtain a first candidate acquisition array, a second candidate acquisition array and a third candidate acquisition array.

[0020] A140: Introducing an array fitness function to evaluate the first candidate acquisition array, the second candidate acquisition array and the third candidate acquisition array, and screening to obtain the environmental information acquisition array based on the evaluation results.

[0021] In one embodiment, the first combined design information, the second combined design information, and the third combined design information are synchronized to a pre-built acquisition architecture solution library to perform environmental acquisition architecture adaptation analysis to obtain a first candidate acquisition array, a second candidate acquisition array, and a third candidate acquisition array. Step A130 of the method provided in the present application also includes:

[0022] A131: Interactively obtain multiple sample box design information, multiple sample environment collection architectures, multiple sample architecture layout costs, multiple sample architecture service lives, and multiple sample architecture operation and maintenance costs.

[0023] A132: Based on the knowledge graph, the multiple sample cabinet design information, multiple sample environment collection architectures, multiple sample architecture deployment costs, multiple sample architecture service lives and multiple sample architecture operation and maintenance costs are stored in association, and the storage results are synchronized to the collection architecture solution library, wherein the collection architecture solution library is pre-configured with a cabinet design comparison engine.

[0024] A133: Synchronize the first combination design information to the acquisition architecture solution library, and calculate the deviation between the first combination design information and the multiple sample cabinet design information in the acquisition architecture solution library through the cabinet design comparison engine to obtain multiple cabinet design deviations.

[0025] A134: Serialize the multiple cabinet design deviations to extract extreme values, and obtain the first candidate acquisition array by mapping and calling the multiple sample environment acquisition architectures based on the extraction results, wherein the first candidate acquisition array has a first cost identifier including the sample architecture layout cost, the sample architecture service life, and the sample architecture operation and maintenance cost.

[0026] A135: Similarly, the second combination design information and the third combination design information are synchronized to the acquisition architecture solution library to perform environmental acquisition architecture adaptation analysis to obtain the second candidate acquisition array and the third candidate acquisition array.

[0027] In one embodiment, the method steps provided by the present application further include:

[0028] A132-1: Pre-constructed design deviation function, the design deviation function is as follows:

[0029]

[0030] Where D is the design deviation of the box, l 1 、w 1 、h 1 are the sample box length, sample box width and sample box height in the sample box design information, respectively. 2 、w 2 、h2 They are respectively the combined box length, combined box width and combined box height in the combined design information.

[0031] A132-2: Construct and generate the cabinet design comparison engine based on the design deviation function.

[0032] In one embodiment, an array fitness function is introduced to evaluate the first candidate acquisition array, the second candidate acquisition array, and the third candidate acquisition array, and the environmental information acquisition array is obtained by screening based on the evaluation results. Step A140 of the method provided in the present application also includes:

[0033] A141: The array fitness function is as follows:

[0034]

[0035] Among them, P is the array fitness coefficient, L d is the remaining useful life of the environment collection architecture, L o is the remaining service life of the container, C m The operation and maintenance cost of the environment collection architecture, C mat The material cost of the environment collection architecture, C lab Labor costs of collecting architecture for the environment.

[0036] A141: Interactively obtain the remaining service life of the container to be controlled.

[0037] A142: Synchronize the remaining useful life and the first cost identifier to the array fitness function, and calculate to obtain a first array fitness coefficient.

[0038] A143: Similarly, the second array fitness coefficient and the third array fitness coefficient are obtained.

[0039] A144: Serialize the first array fitness coefficient, the second array fitness coefficient and the third array fitness coefficient to extract extreme values, and map and call the first candidate acquisition array, the second candidate acquisition array and the third candidate acquisition array based on the extraction results to obtain the environmental information acquisition array.

[0040] Specifically, in this embodiment, the container to be controlled is a storage space for transporting fresh products such as fruits, and has reserved space for arranging equipment for regulating ambient temperature, humidity, and air components.

[0041] This embodiment interacts with the manufacturer to directly obtain the box design information of the container to be controlled, and the box design information includes the box X-axis parameters (box length), the box Y-axis parameters (box width) and the box Z-axis parameters (box height).

[0042] The box design information is axially combined and enumerated to obtain first combination design information, second combination design information and third combination design information with length, width and height variations.

[0043] In the exemplary first combination of design information, the box height is the box width of the original box design information, the box width is the box height of the original box design information, and the box height is the box length of the original box design information.

[0044] Interactively obtain multiple sample box design information, multiple sample environment collection architectures, multiple sample architecture layout costs, multiple sample architecture service lives, and multiple sample architecture operation and maintenance costs. The sample environment collection architecture is the layout design of the environment collection sensor in the container. The sample box design information includes the box length, width, and height of the sample container.

[0045] The cabinet design information is taken as the first attribute, the environmental collection architecture is taken as the second attribute, the architecture deployment cost, the architecture service life and the architecture operation and maintenance cost are taken as the second attribute identifier, and the multiple sample cabinet design information, multiple sample environmental collection architectures, multiple sample architecture deployment costs, multiple sample architecture service lives and multiple sample architecture operation and maintenance costs are stored in association with each other based on the knowledge graph, and the storage results are synchronized to the collection architecture solution library.

[0046] At the same time, in this embodiment, a cabinet design comparison engine is pre-configured in the acquisition architecture solution library, and the construction method of the cabinet design comparison engine is as follows.

[0047] A design deviation function is pre-built, which is as follows: Where D is the design deviation of the box, l 1 、w 1 、h 1 are the sample box length, sample box width and sample box height in the sample box design information, respectively. 2 、w 2 、h 2 They are respectively the combined box length, the combined box width and the combined box height in the combined design information, and the box design comparison engine is generated based on the design deviation function.

[0048] The first combination design information is synchronized to the acquisition architecture solution library, and the deviation between the first combination design information and the plurality of sample cabinet design information is calculated in the acquisition architecture solution library by the cabinet design comparison engine to obtain a plurality of cabinet design deviations.

[0049] The multiple cabinet design deviations are serialized to extract extreme values ​​(minimum values), and based on the extraction results, the first candidate acquisition array is obtained by mapping and calling the multiple sample environment acquisition architectures, wherein the first candidate acquisition array has a first cost identifier including the sample architecture layout cost, the sample architecture service life, and the sample architecture operation and maintenance cost.

[0050] Similarly, the second combined design information and the third combined design information are synchronized to the acquisition architecture solution library to perform environmental acquisition architecture adaptation analysis to obtain the second candidate acquisition array and the third candidate acquisition array.

[0051] The array fitness function is pre-built and is as follows: Among them, P is the array fitness coefficient, L d is the remaining useful life of the environment collection architecture, L o is the remaining service life of the container, C m The operation and maintenance cost of the environment collection architecture, C mat The material cost of the environment collection architecture, C lab Labor costs of collecting architecture for the environment.

[0052] Interactively obtain the remaining service life of the container to be controlled; synchronize the remaining service life with the sample architecture deployment cost, the sample architecture service life and the sample architecture operation and maintenance cost in the first cost identifier to the array fitness function, and calculate to obtain a first array fitness coefficient, wherein the first array fitness coefficient represents the adaptability of the first alternative acquisition array to the container to be controlled.

[0053] Similarly, the second array fitness coefficient and the third array fitness coefficient are obtained; the first array fitness coefficient, the second array fitness coefficient and the third array fitness coefficient are serialized to extract extreme values ​​(maximum values), and based on the extraction results, the first alternative acquisition array, the second alternative acquisition array and the third alternative acquisition array are mapped and called to obtain the environmental information acquisition array.

[0054] This embodiment obtains multiple virtual containers by reorganizing the length, width and height of the container body, and performs sensor deployment scheme adaptation analysis based on the virtual containers, thereby achieving the technical effect of expanding the search range of the sensor deployment scheme and improving the adaptability of the environmental information acquisition array finally obtained and the container to be controlled, and indirectly achieving the technical effect of improving the preservation performance of fresh fruit transportation based on the container to be controlled.

[0055] A200: Based on the environmental information acquisition array, the circulation system configuration is executed to obtain an environmental circulation control array, wherein the environmental circulation control array includes multiple environmental circulation control nodes, and each environmental circulation control node is integrated with temperature regulating pores, humidity regulating pores and air regulating pores.

[0056] Specifically, in this embodiment, the layout position deviation between the environmental circulation control node and the environmental data collection node does not exceed 5 cm. After the layout of the environmental information collection array is completed in this embodiment, the circulation system configuration is performed based on the environmental information collection array to obtain the environmental circulation control array. The environmental circulation control array includes multiple environmental circulation control nodes, and each environmental circulation control node is integrated with temperature regulating pores, humidity regulating pores and air regulating pores. Based on the pores, low-temperature air, water vapor, carbon dioxide and nitrogen dioxide are circulated and introduced into the container.

[0057] A300: Pre-built environmental cycle control cloud, wherein the environmental cycle control cloud includes parallel temperature control analysis branch, humidity control analysis branch and air optimization analysis branch.

[0058] In one embodiment, an environmental cycle control cloud is pre-built, wherein the environmental cycle control cloud includes a temperature control analysis branch, a humidity control analysis branch, and an air optimization analysis branch connected in parallel, and the method step A300 provided in the present application also includes:

[0059] A310: Interactively obtain multiple groups of sample control data, wherein each group of sample control data includes sample original data, sample control parameters and sample target data, each sample original data includes sample original temperature, sample original humidity and sample original air composition, each sample target data includes sample target temperature, sample target humidity and sample target air composition, and each sample control parameter includes sample temperature adjustment value, sample humidity adjustment value and sample air composition adjustment value.

[0060] A320: Split the multiple groups of sample control data to obtain multiple groups of sample temperature control data, wherein each group of sample temperature control data includes the sample original data, the sample temperature adjustment value and the sample target data.

[0061] A330: Use the multiple groups of sample temperature control data to perform training of the temperature control analysis branch until the analysis accuracy of the temperature control analysis branch meets the preset requirements.

[0062] A340: Similarly, split the multiple groups of sample control data and train the humidity control analysis branch and the air optimization analysis branch based on the split results to complete the construction of the environmental cycle control cloud.

[0063] Specifically, in this embodiment, multiple groups of sample control data are interactively obtained, wherein each group of sample control data includes sample original data, sample control parameters and sample target data, each sample original data includes sample original temperature, sample original humidity and sample original air composition, each sample target data includes sample target temperature, sample target humidity and sample target air composition, and each sample control parameter includes sample temperature adjustment value, sample humidity adjustment value and sample air composition adjustment value.

[0064] The multiple groups of sample control data are split to obtain multiple groups of sample temperature control data, wherein each group of sample temperature control data includes the sample original data, the sample temperature adjustment value and the sample target data.

[0065] The input data of the temperature control analysis branch are original temperature, original humidity and original air composition, as well as target temperature, target humidity and target air composition, and the output data is the temperature adjustment value. It should be understood that the target is the physical state that is expected to be achieved.

[0066] The temperature control analysis branch is constructed based on a back propagation neural network, and the temperature control analysis branch is trained using a conventional training method of an existing back propagation neural network until the output accuracy of the temperature control analysis branch meets a predetermined accuracy requirement.

[0067] By analogy, the same method is used to split the multiple groups of sample control data, obtain training data that conforms to the humidity control analysis branch and the air optimization analysis branch, and train the humidity control analysis branch and the air optimization analysis branch based on the obtained training data to complete the construction of the environmental cycle control cloud.

[0068] This embodiment constructs a multi-branch intelligent control analysis model to achieve the technical effect of quickly analyzing and determining the container environment adjustment based on the circulation system after the subsequent collection of container environment parameters, so that the container environment meets the requirements of fresh food transportation and preservation.

[0069] A400: Pre-constructing a circulation system control architecture, wherein the circulation system control architecture is generated by connecting the multiple environmental data acquisition nodes with the multiple environmental circulation control nodes based on a wired communication interface, and then connecting the multiple environmental data acquisition nodes with the environmental circulation control cloud based on a wireless communication interface.

[0070] In one embodiment, in the circulation system control architecture, the multiple environmental data acquisition nodes collect real-time environmental data of the container to be controlled, obtain multiple real-time environmental arrays, and transmit the real-time environmental arrays to the environmental circulation control cloud for environmental control analysis, generate multiple circulation control strategies, and transmit them back to the multiple environmental data acquisition nodes. The method step A400 provided in the present application also includes:

[0071] A410: A monitoring cycle is preset, and the first environmental data acquisition node starts the pre-integrated thermistor, surface tension humidity sensor and gas sensor to collect local environmental data at intervals of the monitoring cycle to obtain a first real-time environmental array, wherein the first real-time environmental array includes a first real-time temperature, a first real-time humidity and a first real-time gas component.

[0072] A420: Interactively obtain the target temperature constraint, target humidity constraint and target component constraint of the container to be controlled.

[0073] A430: Synchronize the first real-time temperature, the first real-time humidity and the first real-time gas group, the target temperature constraint, the target humidity constraint and the target component constraint to the temperature control analysis branch, the humidity control analysis branch and the air optimization analysis branch of the environmental cycle control cloud to perform regulation analysis and obtain a first cycle control strategy, wherein the first cycle control strategy includes a first temperature adjustment value, a first humidity adjustment value and a first air component adjustment value.

[0074] A440: Similarly, based on the environmental cycle control cloud, the multiple real-time environmental arrays are analyzed to obtain the multiple cycle control strategies.

[0075] Specifically, in this embodiment, a monitoring cycle is preset, and the first environmental data acquisition node starts the pre-integrated thermistor, surface tension humidity sensor and gas sensor to collect local environmental data at intervals of the monitoring cycle to obtain a first real-time environmental array, wherein the first real-time environmental array includes a first real-time temperature, a first real-time humidity and a first real-time gas component, and the first environmental data acquisition node is any one of the multiple environmental data acquisition nodes.

[0076] The target temperature constraint, the target humidity constraint and the target component constraint of the container to be controlled are obtained interactively. The target temperature constraint, the target humidity constraint and the target component constraint are the physical states that the container to be controlled expects to maintain inside the container.

[0077] The first real-time temperature, the first real-time humidity and the first real-time gas group, the target temperature constraint, the target humidity constraint and the target component constraint are synchronized to the temperature control analysis branch, the humidity control analysis branch and the air optimization analysis branch of the environmental cycle control cloud to perform regulation analysis and obtain a first cycle control strategy, wherein the first cycle control strategy includes a first temperature adjustment value, a first humidity adjustment value and a first air component adjustment value. Exemplarily, the first air component adjustment value is to reduce the environmental carbon dioxide content to 5%.

[0078] By analogy, the multiple real-time environment arrays are analyzed based on the environment cycle control cloud to obtain the multiple cycle control strategies. This embodiment achieves the technical effect of improving the precision and accuracy of the environment adjustment in the container.

[0079] A500: In the circulation system control architecture, the multiple environmental data collection nodes collect real-time environmental data of the container to be controlled, obtain multiple real-time environmental arrays, and transmit the real-time environmental arrays to the environmental circulation control cloud for environmental control analysis, generate multiple circulation control strategies, and transmit them back to the multiple environmental data collection nodes;

[0080] In one embodiment, the multiple environmental data acquisition nodes control the multiple environmental cycle control nodes to perform local environmental regulation based on the multiple cycle control strategies to complete the global environmental regulation of the container to be controlled. After that, the method step A500 provided by the present application also includes:

[0081] A510: Preset an environment control verification node, and use the multiple environment data collection nodes to perform verification environment data collection at the environment control verification node to obtain multiple verification environment arrays.

[0082] A520: Use the target temperature constraint, target humidity constraint and target component constraint to traverse and compare the multiple verification environment arrays to locate the fault control node and generate an operation and maintenance work order.

[0083] Specifically, in this embodiment, an environmental control verification node is preset, and the environmental control verification node is the duration of executing the multiple cyclic control strategies. Theoretically, when the execution duration of the multiple cyclic control strategies reaches the environmental control verification node, the environmental physical state in the container to be controlled meets the target temperature constraint, target humidity constraint and target component constraint.

[0084] Therefore, in this embodiment, the multiple environmental data collection nodes are used to perform verification environment data collection at the environmental control verification node to obtain multiple verification environment arrays. The target temperature constraint, target humidity constraint and target component constraint are used to traverse and compare the multiple verification environment arrays to locate the fault control node and generate an operation and maintenance work order. The operation and maintenance work order is for pores in the environmental circulation control array that have poor humidity regulation, temperature regulation or air component regulation.

[0085] The environmental control verification performed in this embodiment achieves the technical effect of ensuring that the environmental circulation control array is in a normal operating state and that the container to be controlled is in an environmentally controllable state.

[0086] A600: The multiple environmental data acquisition nodes control the multiple environmental cycle control nodes to perform local environmental regulation based on the multiple cycle control strategies, thereby completing global environmental regulation of the container to be controlled.

[0087] Specifically, in this embodiment, the multiple environmental data acquisition nodes control the multiple environmental circulation control nodes to perform local environmental adjustments based on the multiple circulation control strategies, and complete the global environmental regulation of the container to be controlled, thereby achieving the technical effect of realizing container physical environment regulation based on the circulation system, improving the accuracy of environmental regulation inside the container and the adaptability of environmental regulation to the preservation requirements of container transport objects.

[0088] Any of the methods or steps described above may be stored as computer instructions or programs in various types of computer memories, and the computer instructions or programs may be recognized by various types of computer processors to implement any of the methods or steps described above.

[0089] Based on the above specific embodiments of the present invention, any improvements and modifications made to the present invention by those skilled in the art without departing from the principles of the present invention shall fall within the patent protection scope of the present invention.

Claims

1. A container intelligent control method based on a circulation system, characterized in that: The method comprises: Interactively obtain the box design information of the container to be controlled, and adapt the environment collection architecture based on the box design information to obtain the environment information collection array, wherein the environment information collection array includes multiple environment data collection nodes, and each environment data collection node is integrated with a thermistor, a surface tension humidity sensor, and a gas sensor; Executing a circulation system configuration based on the environmental information acquisition array to obtain an environmental circulation control array, wherein the environmental circulation control array includes a plurality of environmental circulation control nodes, and each environmental circulation control node is integrated with a temperature regulating pore, a humidity regulating pore, and an air regulating pore; Pre-constructing an environmental cycle control cloud, wherein the environmental cycle control cloud includes a temperature control analysis branch, a humidity control analysis branch, and an air optimization analysis branch connected in parallel; Pre-constructing a circulation system control architecture, wherein the circulation system control architecture is generated by connecting the multiple environmental data acquisition nodes with the multiple environmental circulation control nodes based on a wired communication interface, and then connecting the multiple environmental data acquisition nodes with the environmental circulation control cloud based on a wireless communication interface; In the circulation system control architecture, the multiple environmental data acquisition nodes collect real-time environmental data of the container to be controlled, obtain multiple real-time environmental arrays, and transmit the real-time environmental arrays to the environmental circulation control cloud for environmental control analysis, generate multiple circulation control strategies, and transmit them back to the multiple environmental data acquisition nodes; The multiple environmental data acquisition nodes control the multiple environmental cycle control nodes to perform local environmental regulation based on the multiple cycle control strategies, thereby completing global environmental regulation of the container to be controlled.

2. The container intelligent control method based on the circulation system according to claim 1 is characterized in that: Interactively obtain the box design information of the container to be controlled, and adapt the environment collection architecture based on the box design information to obtain the environment information collection array, wherein the environment information collection array includes a plurality of environment data collection nodes, and each environment data collection node is integrated with a thermistor, a surface tension humidity sensor and a gas sensor, and the method further includes: Interactively obtaining the box design information of the container to be controlled, wherein the box design information includes box X-axis parameters, box Y-axis parameters, and box Z-axis parameters; Performing axial combination enumeration on the box design information to obtain first combination design information, second combination design information and third combination design information; Synchronize the first combination design information, the second combination design information, and the third combination design information to a pre-built acquisition architecture solution library to perform environmental acquisition architecture adaptation analysis to obtain a first candidate acquisition array, a second candidate acquisition array, and a third candidate acquisition array; An array fitness function is introduced to evaluate the first candidate acquisition array, the second candidate acquisition array and the third candidate acquisition array, and the environmental information acquisition array is screened and obtained based on the evaluation result.

3. The container intelligent control method based on the circulation system according to claim 2 is characterized in that: The first combination design information, the second combination design information and the third combination design information are synchronized to a pre-built acquisition architecture solution library to perform environmental acquisition architecture adaptation analysis to obtain a first candidate acquisition array, a second candidate acquisition array and a third candidate acquisition array. The method further includes: Interactively obtain multiple sample box design information, multiple sample environment collection architectures, multiple sample architecture deployment costs, multiple sample architecture service lives, and multiple sample architecture operation and maintenance costs; Based on the knowledge graph, the plurality of sample box design information, the plurality of sample environment collection architectures, the plurality of sample architecture deployment costs, the plurality of sample architecture service lives and the plurality of sample architecture operation and maintenance costs are stored in association, and the storage results are synchronized to the collection architecture solution library, wherein the collection architecture solution library is pre-configured with a box design comparison engine; Synchronizing the first combined design information to the acquisition architecture solution library, and calculating the deviation between the first combined design information and the plurality of sample cabinet design information via the cabinet design comparison engine in the acquisition architecture solution library to obtain a plurality of cabinet design deviations; The plurality of cabinet design deviations are serialized to extract extreme values, and based on the extraction results, the first candidate acquisition array is mapped and called in the plurality of sample environment acquisition architectures, wherein the first candidate acquisition array has a first cost identifier including a sample architecture layout cost, a sample architecture service life, and a sample architecture operation and maintenance cost; Similarly, the second combined design information and the third combined design information are synchronized to the acquisition architecture solution library to perform environmental acquisition architecture adaptation analysis to obtain the second candidate acquisition array and the third candidate acquisition array.

4. The container intelligent control method based on the circulation system according to claim 3 is characterized in that: The method further comprises: A design deviation function is pre-built, which is as follows: Wherein, D is the design deviation of the box, l1, w1, h1 are the sample box length, sample box width and sample box height in the sample box design information, l2, w2, h2 are the combined box length, combined box width and combined box height in the combined design information, respectively; The cabinet design comparison engine is generated based on the design deviation function.

5. The container intelligent control method based on the circulation system according to claim 3 is characterized in that: Introducing an array fitness function to evaluate the first candidate acquisition array, the second candidate acquisition array, and the third candidate acquisition array, and screening to obtain the environmental information acquisition array based on the evaluation results, the method further comprising: The array fitness function is as follows: Among them, P is the array fitness coefficient, L d is the remaining useful life of the environment collection architecture, L o is the remaining service life of the container, C m The operation and maintenance cost of the environment collection architecture, C mat The material cost of the environment collection architecture, C lab The labor cost of collecting architecture for the environment; Interactively obtaining the remaining service life of the container to be controlled; Synchronizing the remaining service life and the first cost identifier to the array fitness function, and calculating to obtain a first array fitness coefficient; And so on, the second array fitness coefficient and the third array fitness coefficient are obtained; The first array fitness coefficient, the second array fitness coefficient and the third array fitness coefficient are serialized to extract extreme values, and based on the extraction results, the first candidate acquisition array, the second candidate acquisition array and the third candidate acquisition array are mapped and called to obtain the environmental information acquisition array.

6. The container intelligent control method based on the circulation system according to claim 1 is characterized in that: Pre-constructing an environmental cycle control cloud, wherein the environmental cycle control cloud includes a temperature control analysis branch, a humidity control analysis branch, and an air optimization analysis branch connected in parallel, and the method further includes: Interactively obtain multiple groups of sample control data, wherein each group of sample control data includes sample original data, sample control parameters and sample target data, each sample original data includes sample original temperature, sample original humidity and sample original air component, each sample target data includes sample target temperature, sample target humidity and sample target air component, and each sample control parameter includes sample temperature adjustment value, sample humidity adjustment value and sample air component adjustment value; Splitting the multiple groups of sample control data to obtain multiple groups of sample temperature control data, wherein each group of sample temperature control data includes the sample original data, the sample temperature adjustment value and the sample target data; Using the multiple groups of sample temperature control data to perform training of the temperature control analysis branch until the analysis accuracy of the temperature control analysis branch meets the preset requirements; By analogy, the multiple groups of sample control data are split and the humidity control analysis branch and the air optimization analysis branch are trained based on the split results to complete the construction of the environmental cycle control cloud.

7. The container intelligent control method based on the circulation system according to claim 1 is characterized in that: In the circulation system control architecture, the multiple environmental data acquisition nodes collect real-time environmental data of the container to be controlled to obtain multiple real-time environmental arrays, and transmit the real-time environmental arrays to the environmental circulation control cloud for environmental control analysis, generate multiple circulation control strategies, and transmit them back to the multiple environmental data acquisition nodes. The method also includes: A monitoring cycle is preset, and the first environment data collection node starts the pre-integrated thermistor, surface tension humidity sensor and gas sensor at intervals of the monitoring cycle to collect local environment data, and obtains a first real-time environment array, wherein the first real-time environment array includes a first real-time temperature, a first real-time humidity and a first real-time gas component; Interactively obtain the target temperature constraint, target humidity constraint and target component constraint of the container to be controlled; The first real-time temperature, the first real-time humidity and the first real-time gas group, the target temperature constraint, the target humidity constraint and the target component constraint are synchronized to the temperature control analysis branch, the humidity control analysis branch and the air optimization analysis branch of the environmental cycle control cloud to perform regulation analysis to obtain a first cycle control strategy, wherein the first cycle control strategy includes a first temperature adjustment value, a first humidity adjustment value and a first air component adjustment value; By analogy, the multiple real-time environment arrays are analyzed based on the environment cycle control cloud to obtain the multiple cycle control strategies.

8. The container intelligent control method based on the circulation system according to claim 7 is characterized in that: The multiple environmental data acquisition nodes control the multiple environmental cycle control nodes to perform local environmental regulation based on the multiple cycle control strategies to complete global environmental regulation of the container to be controlled. After that, the method further includes: Preset an environment control verification node, and use the multiple environment data collection nodes to perform verification environment data collection at the environment control verification node to obtain multiple verification environment arrays; The target temperature constraint, the target humidity constraint and the target component constraint are used to traverse and compare the multiple verification environment arrays to locate the fault control node and generate an operation and maintenance work order.

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