Intelligent control method, device and equipment for fresh product transportation and storage medium

Abstract

The invention provides an intelligent control method for fresh product transportation and a related device, and the method comprises the steps: determining the storage period of a stored product in a transfer box through obtaining the transportation destination of the stored product, obtaining the product information through an image recognition technology, recognizing the type and state of the product, and matching a corresponding initial storage scheme, according to the scheme, the initial environment parameter set value and range of the product are obtained. And dynamically adjusting the initial scheme in combination with the product state and the storage period, generating a new storage scheme, and ensuring that the product is kept in the optimal state in the transportation process. All the function modules work cooperatively, environment parameters in the transfer box are adjusted accurately, and the requirements of a new storage scheme are met. Precise control and intelligent management of the fresh product transportation environment are achieved, the fresh-keeping period of fresh products is effectively prolonged, loss caused by environmental factors is remarkably reduced, meanwhile, the quality of air in the box is guaranteed, and the adverse effect of harmful gas on the quality of the fresh products is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of fresh products, and in particular relates to an intelligent control method, device, equipment and storage medium for fresh product transportation. Background Art

[0002] With the continuous development of the fresh product market, the demand for the transportation of fragile fresh products such as flowers and vegetables is growing. During the transportation process, it is crucial to maintain the freshness and quality of these products, as it is directly related to the loss rate and market value of the products. Environmental factors such as temperature, oxygen concentration, humidity and light conditions of the products have a significant impact on their preservation status. For example, too high temperature may cause flowers to wilt and vegetables to rot, inappropriate oxygen concentration may accelerate the respiration of products, and improper humidity may cause products to lose water or become damp and moldy. Appropriate light conditions also play a key role in the photosynthesis and physiological activities of certain products.

[0003] Although there are some technical means for the transportation of fresh products, there are still many shortcomings. Most existing transportation equipment lacks the ability to accurately and intelligently control key environmental factors such as oxygen concentration, humidity, and light. Many transit boxes are unable to automatically adjust the environmental parameters in the box according to the type of fresh products being transported and the remaining transportation time. As a result, during transportation, fresh products may deteriorate due to accelerated respiration caused by excessive oxygen content, or wither and rot due to inappropriate humidity. At the same time, the maintenance of air quality in the box during transportation is not perfect, and there is a lack of effective fresh air ventilation and air purification mechanisms, which causes harmful gases to accumulate in the box, further affecting the quality of fresh products. In addition, existing technologies make it difficult to monitor and handle abnormal situations in the transportation process in a timely and accurate manner. For example, it is impossible to automatically identify the initial signs of deterioration of fresh products, nor can it quickly take effective response measures according to emergencies such as temperature fluctuations and gas leaks. As a result, the loss rate of fresh products in the transportation process remains high, which seriously restricts the development of the fresh product transportation industry and increases the operating costs of enterprises and the purchasing costs of consumers. There is an urgent need for a more intelligent, efficient and comprehensive fresh product transportation control method to solve these problems in order to ensure the quality and value of fresh products in the transportation process. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide an intelligent control method, device, equipment and storage medium for fresh product transportation, so as to fill the gaps in the existing fresh product transportation technology in terms of precise environmental regulation and intelligent management, and overcome the limitations of traditional transportation methods.

[0005] In order to achieve the above object, the technical solution provided by the present invention is as follows: The present invention provides an intelligent control method for fresh product transportation, comprising the following steps: Obtain the transportation destination of the stored product, and determine the storage period of the stored product in the transfer box according to the transportation destination; the transfer box has at least image recognition function, lighting adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air replacement function, which is used to change the environment inside the box through various functions to achieve fresh storage of the stored product during the transfer transportation process; The image information of the stored products in the transfer box is obtained through the image recognition function, and the product type and product status are identified based on the image information; Matching the initial storage plan according to the product type; the initial storage plan includes the parameter type set and value range required to control the change of the environment in the transfer box when implementing fresh storage of the stored products; Adjust the initial storage plan according to the product status and storage period to obtain a new storage plan; the new storage plan includes the parameter types and values ​​required to maintain the stored product in the best state during the storage period; According to the parameter type and value, the environmental parameters in the transfer box are adjusted through the light adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air exchange function to meet the storage requirements of the new storage solution.

[0006] Preferably, the parameter type set includes gas type parameters, and the gas type parameters include: carbon dioxide concentration, carbon monoxide concentration, oxygen concentration, nitrogen concentration, volatile organic compound concentration and air pressure; The values ​​of gas type parameters are adjusted through the gas conditioning function and the fresh air exchange function.

[0007] Preferably, the parameter type set also includes: temperature and humidity parameters, and the values ​​of the temperature and humidity parameters are adjusted by the temperature and humidity adjustment function.

[0008] Preferably, the parameter type set further includes: lighting parameters, and the values ​​of the lighting parameters are adjusted by a lighting adjustment function.

[0009] Preferably, the initial storage plan is adjusted according to the product status and storage period to obtain a new storage plan, including: Determine whether the product state is the expected storage state of the stored product; If so, then during the storage period, the specific parameter type and value in the parameter type set are determined according to the storage requirements preset for the expected storage state; If not, then during the storage period, the specific parameter types and values ​​in the parameter type set are determined according to the preset storage requirements for delaying the deterioration of the product status.

[0010] As preferably, it also includes: During the storage period, the product status is detected according to the preset detection cycle, and the storage plan is updated according to the changes in the product status.

[0011] As preferably, it also includes: When the environmental parameters exceed the corresponding preset value range, an abnormal alarm is issued for manual intervention.

[0012] The second aspect of the present invention further provides an intelligent control device for fresh product transportation, comprising: The storage period estimation module is used to obtain the transportation destination of the stored product and determine the storage period of the stored product in the transfer box according to the transportation destination; the transfer box has at least image recognition function, light adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air replacement function, which is used to change the environment in the box through various functions to achieve fresh storage of the stored product during the transfer transportation process; The recognition module is used to obtain the image information of the stored products in the transfer box through the image recognition function, and recognize the product type and product status according to the image information; An initial storage plan determination module is used to match the initial storage plan according to the product type; the initial storage plan includes a parameter type set and a value range required to control the change of the environment inside the transfer box when the stored product is stored in a fresh-keeping manner; A storage plan adjustment module is used to adjust the initial storage plan according to the product status and storage period to obtain a new storage plan; the new storage plan includes parameter types and values ​​required to maintain the stored product in the best state during the storage period; The parameter control module is used to adjust the environmental parameters in the transfer box according to the parameter type and value through the light adjustment function, temperature and humidity adjustment function, air adjustment function and fresh air exchange function to meet the storage requirements of the new storage solution.

[0013] Accordingly, the present invention also provides a computer device, the device comprising a processor and a memory: The memory is used to store the computer program and send the instructions of the computer program to the processor; The processor executes the intelligent control method for fresh product transportation according to the instructions of the computer program.

[0014] Correspondingly, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the intelligent control method for fresh product transportation as in the first aspect is implemented.

[0015] In summary, the present invention provides an intelligent control method for fresh product transportation, which first determines the storage period of the stored product in the transfer box by obtaining the transportation destination of the stored product. The transfer box is equipped with multifunctional modules such as image recognition, light adjustment, temperature and humidity adjustment, air conditioning and fresh air exchange, which can intelligently adjust the environment in the box according to the type and state of the fresh products to achieve the best preservation effect. Specifically, image recognition technology is used to obtain product information, identify its type and state, and then match the corresponding initial storage plan, which contains a series of set values ​​and ranges of key environmental parameters (such as oxygen concentration, humidity, light, etc.). Further, combined with the product state and storage period, the initial plan is dynamically adjusted to generate a new storage plan to ensure that the product maintains the best state throughout the transportation process. Finally, through the collaborative work of various functional modules, the environmental parameters in the transfer box are accurately adjusted to meet the requirements of the new storage plan. The present invention realizes the precise control and intelligent management of the fresh product transportation environment, effectively extends the shelf life of fresh products, significantly reduces the loss caused by environmental factors, and at the same time ensures the air quality in the box and reduces the adverse effects of harmful gases on the quality of fresh products. This not only improves the quality assurance level and economic benefits of fresh product transportation, but also reduces the operating costs of enterprises and the purchasing costs of consumers, providing strong technical support and driving force for the development of the fresh product transportation industry.

[0016] The present invention also provides an intelligent control device, equipment and storage medium for fresh product transportation. When implemented, the intelligent control device, equipment and storage medium have similar technical effects to the above-mentioned intelligent control method, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is a flow chart of an intelligent control method for fresh product transportation according to the present invention; Figure 2 It is a block diagram of the composition of an intelligent control device for fresh product transportation of the present invention; Figure 3 The present invention is a block diagram of a computer device. DETAILED DESCRIPTION

[0019] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1 This embodiment provides an intelligent control method for fresh product transportation, comprising the following steps: S1: Obtain the transportation destination of the stored product, and determine the storage period of the stored product in the transfer box according to the transportation destination; the transfer box has at least image recognition function, lighting adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air exchange function, which is used to change the environment inside the box through various functions to achieve fresh storage of the stored product during the transfer transportation process.

[0021] It should be noted that a transit box is a container or device used to temporarily store and protect goods during transportation. It is usually used in logistics and supply chain management as an intermediate storage link in the transportation process from the place of shipment to the destination. The shelf life is the length of time that fresh products need to be stored in a transit box, starting from the time they enter the transit box until they reach the destination.

[0022] In this step, the information of the transport destination can be obtained through the Internet of Things technology, and the storage period of the fresh products in the transfer box can be calculated by combining the transport route, transport method and the characteristics of the fresh products. The determination of the storage period directly affects the adjustment strategy and frequency of the environmental parameters in the transfer box. For example, for fresh products with a longer storage period, more stringent and long-lasting preservation measures may be required, such as continuous low temperature and low oxygen; while for fresh products with a shorter storage period, the preservation measures can be relatively flexible.

[0023] S2: Obtain image information of the stored products in the transfer box through an image recognition function, and identify the product type and product status based on the image information.

[0024] It should be noted that the image recognition function uses image acquisition devices such as cameras to obtain image information of products stored in the transfer box, and then identifies the type and status of the products through image processing and analysis technology.

[0025] This step uses the image recognition function to obtain the image information of the products stored in the transfer box in real time, and uses the image processing algorithm to extract and analyze the features of the image, so as to accurately identify the type and status of the product (the current health status and quality of the product, such as whether the leaves are yellowing, whether the petals are withered, whether the fruit is plump, etc.). Through this step, basic data can be provided for the subsequent determination of the storage plan. For example, if the product is identified as a green plant with yellow leaves, it means that more light and water may be needed, or there are other adverse factors that need to be resolved; if the product is identified as a fresh flower with plump petals, it means that the current state is good, but a suitable preservation environment still needs to be maintained.

[0026] S3: Matching an initial storage plan according to the product type; the initial storage plan includes a set of parameter types and a value range required to control changes in the environment inside the transfer box when implementing fresh-keeping storage for the stored products.

[0027] It should be noted that this step matches the corresponding initial storage plan from the preset storage plan database according to the product type identified in step S2. The initial storage plan is formulated based on the general preservation needs and characteristics of various fresh products, and includes key environmental parameters and their set values ​​and ranges that need to be controlled during the preservation and storage process. For example, for fresh flowers, the initial storage plan includes a lower temperature range, a suitable humidity range, an appropriate amount of oxygen and carbon dioxide concentration, etc.; for green plants, it includes appropriate light intensity and duration, a higher humidity range, etc.

[0028] S4: Adjust the initial storage plan according to the product status and storage period to obtain a new storage plan; the new storage plan includes the parameter types and values ​​required to maintain the stored product in the best state during the storage period.

[0029] It should be noted that this step dynamically adjusts the initial storage plan in combination with the product status and storage period identified previously. Depending on the status of the product, fine-tune or optimize parameters such as temperature, humidity, and oxygen concentration to meet the current needs of the product. For example, if the product is in poor condition, such as yellowing leaves, it may be necessary to increase humidity and light intensity to promote its recovery; if the storage period is long, it may be necessary to more strictly control temperature and oxygen concentration to slow down the respiration and metabolism of the product and extend the shelf life. At the same time, according to the length of the storage period, adjust the control strategy and frequency of the parameters to ensure that the product is in a suitable preservation environment throughout the transportation process.

[0030] S5: According to the parameter type and value, the environmental parameters in the transfer box are adjusted through the light adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air exchange function to meet the storage requirements of the new storage solution.

[0031] It should be noted that this step determines the type and value of environmental parameters that need to be adjusted based on the new storage solution obtained in step S4, and then the various functional modules of the transfer box work together to accurately adjust the environmental parameters in the box. For example, if the humidity needs to be increased, the humidifier is used to spray or evaporate water into the box; if the oxygen concentration needs to be reduced, the gas conditioning function is used to reduce the supply of oxygen or increase the concentration of other gases; if fresh air is needed, fresh air is introduced through the fresh air ventilation system to exhaust the exhaust gas in the box. Through the comprehensive adjustment of these functions, it is ensured that the environmental parameters in the transfer box always meet the requirements of the new storage solution, providing the best preservation environment for fresh products.

[0032] This embodiment provides an intelligent control method for fresh product transportation. The method integrates the Internet of Things, image recognition, data analysis and other technologies to achieve comprehensive monitoring and precise control of the environment in the transfer box during the transportation of fresh products. First, according to the transportation destination information, the preservation period of the fresh product in the transfer box is calculated to provide a time basis for the formulation of the subsequent storage plan. Then, the image information of the products stored in the transfer box is obtained in real time by using image recognition technology, the type and state of the product are accurately identified, and the corresponding initial storage plan is matched from the preset storage plan database according to the product type. Then, the initial storage plan is dynamically adjusted in combination with the product state and the preservation period to obtain a new storage plan to meet the personalized preservation needs of the product. Finally, through the functional modules such as light adjustment, temperature and humidity adjustment, air conditioning and fresh air exchange, the environmental parameters in the transfer box are accurately adjusted according to the new storage plan to ensure that the fresh products are maintained in the best state during the entire transportation process. The method can realize the customization of personalized preservation plans for different fresh products, real-time monitoring and rapid response, and comprehensive environmental control, effectively extend the shelf life of fresh products, reduce the loss rate, improve the transportation quality and economic benefits, and provide strong technical support for the development of the fresh product transportation industry.

[0033] In one embodiment, the parameter type set includes gas type parameters, and the gas type parameters include: carbon dioxide concentration, carbon monoxide concentration, oxygen concentration, nitrogen concentration, volatile organic compound concentration and air pressure; the values ​​of the gas type parameters are adjusted by the air conditioning function and the fresh air exchange function.

[0034] In this embodiment, the parameter type set covers gas type parameters, specifically including carbon dioxide concentration, carbon monoxide concentration, oxygen concentration, nitrogen concentration, volatile organic compound concentration and air pressure. These gas type parameters are crucial to the preservation of fresh products. For example, oxygen concentration affects the respiration of fresh products, carbon dioxide concentration is related to photosynthesis, and volatile organic compound concentration is related to air quality. Through the gas conditioning function, these parameters can be monitored using a gas detection module, and the supply and discharge of gas can be accurately controlled through a gas regulating system (such as a gas generator, inflation and exhaust module, etc.) so that the gas concentration reaches the set value, thereby creating a suitable gas environment. At the same time, the fresh air exchange function exchanges the air in the box with the outside air through the fresh air ventilation system, introduces fresh air, and discharges waste gas and pollutants in the box, further adjusting the gas concentration and air pressure to ensure that fresh products are in the best gas environment during transportation, extending their shelf life and improving quality. In one embodiment, the parameter type set also includes: temperature and humidity parameters, and the values ​​of the temperature and humidity parameters are adjusted by the temperature and humidity adjustment function.

[0035] In this embodiment, temperature and humidity parameters are added to the parameter type set, and temperature and humidity also play a key role in the preservation of fresh products. Temperature affects the metabolic rate and respiration of fresh products. Too high a temperature will accelerate the metabolism of fresh products, causing them to age and deteriorate quickly; while humidity is related to the moisture retention of fresh products. Too low a humidity will cause fresh products to lose water, affecting their appearance and taste, while too high a humidity will easily breed bacteria and mold. Through the temperature and humidity adjustment function, the temperature and humidity in the box can be monitored in real time using a temperature and humidity sensor, and accurately adjusted through a refrigeration or heating element (such as a compressor refrigeration, an electric heater, etc.) and a humidification or dehumidification device (such as a humidifier, a dehumidifier, etc.). For example, for fruits that need to be kept fresh at low temperatures, the temperature is reduced to a suitable range through a refrigeration element, and the appropriate humidity is maintained through a dehumidifier to prevent condensation droplets from appearing on the surface of the fruit, thereby providing a stable and suitable temperature and humidity environment for the fresh products, effectively extending their shelf life and reducing losses.

[0036] In one embodiment, the parameter type set further includes: an illumination parameter, and the value of the illumination parameter is adjusted by an illumination adjustment function.

[0037] In this embodiment, the parameter type includes the illumination parameter. Illumination is of great significance to the growth and preservation of certain fresh products (such as green plants, vegetables, etc.). Appropriate illumination can promote photosynthesis, synthesize organic matter, and maintain the vitality and nutritional value of fresh products. Through the illumination adjustment function, a light source with adjustable brightness and color temperature (such as LED lights, etc.) can be used to automatically adjust the brightness and color temperature of the light source according to the photosynthesis requirements of the fresh products and the current ambient illumination conditions, and provide appropriate illumination intensity and spectral distribution. For example, for green plants, when the light is insufficient, the brightness of the light source is increased to simulate natural lighting conditions and promote its photosynthesis; at the same time, a reasonable illumination duration can be set according to the growth law and preservation requirements of the fresh products. By controlling the switching time of the light source, it is ensured that the fresh products obtain sufficient light during transportation, maintain their good growth state and quality, and extend the shelf life.

[0038] In one embodiment, the initial storage plan is adjusted according to the product status and the storage period to obtain a new storage plan, including: Determine whether the product state is the expected storage state of the stored product; If so, then during the storage period, the specific parameter type and value in the parameter type set are determined according to the storage requirements preset for the expected storage state; If not, then during the storage period, the specific parameter types and values ​​in the parameter type set are determined according to the preset storage requirements for delaying the deterioration of the product status.

[0039] In this embodiment, the storage scheme is dynamically adjusted according to the product status and storage period. First, the status information of the fresh product is obtained in real time through technical means such as image recognition and sensor monitoring to determine whether it is in the expected storage state. If the product status is the expected storage state, it means that the current fresh-keeping environment is more suitable. At this time, according to the preset storage requirements, the current parameter settings are maintained, such as maintaining appropriate temperature, humidity, gas concentration, etc., to ensure that the fresh product can continue to maintain a good state throughout the storage period. If the product status is not the expected storage state, such as yellowing of leaves, softening of fruits and other undesirable phenomena, it means that there are problems with the current fresh-keeping environment. It is necessary to adjust the specific parameter types and values ​​in the parameter type set in time according to the preset storage requirements to delay the deterioration of the product status. For example, for yellowed green plants, the light intensity and humidity can be increased to promote their recovery to a healthy state; for softened fruits, the temperature can be lowered to slow down their metabolism and respiration to prevent further softening and decay. This dynamic adjustment mechanism can effectively deal with various conditions that may occur in the transportation of fresh products, take targeted measures in time, maximize the shelf life of fresh products, and improve transportation quality and success rate.

[0040] In one embodiment, the method further includes detecting the product status according to a preset detection cycle during the storage period, and updating the storage scheme according to changes in the product status.

[0041] In this embodiment, a mechanism for regularly detecting and updating the storage scheme is introduced. During the storage period of fresh products, the status of fresh products is regularly detected according to the preset detection period (such as every 8 hours) using sensor networks and image recognition technologies to obtain the latest health status and quality information. Then, based on the detection results, the effectiveness and suitability of the current storage scheme are evaluated. If the status of the fresh product is found to have changed, such as slight water loss, color change, etc., it means that the current preservation environment may need to be further optimized. At this time, according to the change in the status of the fresh product, combined with its preservation needs and transportation time, the storage scheme is updated, and the specific parameter types and values ​​in the parameter type set are adjusted. For example, if slight water loss is detected on the surface of the fruit, the humidity can be appropriately increased, and the humidifier can be used to spray into the box to maintain the moisture on the surface of the fruit; if the growth rate of the green plant is found to have slowed down, the light duration can be extended to promote its photosynthesis. This regular detection and update mechanism can ensure that the storage scheme always matches the actual status of the fresh product, timely discover and solve potential problems, improve the adaptability and effectiveness of preservation measures, reduce the loss rate, and ensure the quality and freshness of the fresh product throughout the transportation process.

[0042] In one embodiment, when the environmental parameter exceeds the corresponding preset value range, an abnormal alarm is issued to facilitate manual intervention.

[0043] In this embodiment, by setting an abnormal alarm mechanism for environmental parameters, additional protection is provided for the safety and reliability of fresh product transportation. During transportation, environmental parameters (such as temperature, humidity, gas concentration, etc.) in the transfer box may be affected by various factors and may fluctuate abnormally. For example, a failure in the refrigeration system may cause a sharp rise in temperature, and a failure in the air filtration system may cause the concentration of volatile organic compounds to exceed the standard. When these environmental parameters are monitored to exceed the corresponding preset value range, the system will automatically send an abnormal alarm signal to remind the staff to intervene manually. After receiving the alarm signal, the staff can quickly take corresponding measures, such as checking the refrigeration system, replacing the filter element, adjusting the gas regulation system, etc., to promptly eliminate faults and hidden dangers and prevent environmental parameter abnormalities from causing damage to fresh products. This abnormal alarm mechanism not only improves the safety of the transportation process, but also reduces the risk of fresh product loss and transportation accidents caused by abnormal environmental parameters, ensures the smooth transportation of fresh products, and provides strong protection for the operation of enterprises and the purchase of consumers.

[0044] Based on the above embodiments, in a possible implementation of the present invention, the implementation process of the intelligent control method is as follows: First, the transportation destination information of the product is obtained through the Internet of Things module, and the shelf life of the product is estimated accordingly. Then, the transfer box is controlled to automatically start the camera and light source, perform image recognition on the stored product to determine the type of product and its current state, and obtain the storage plan corresponding to its product type. For example, if the product is identified as a green plant and the leaves are yellow, it indicates that it may need to photosynthesize. At this time, a new storage plan will be formed according to the product state and the shelf life, including turning on the light, raising the humidity in the box to the second concentration, adjusting the carbon dioxide concentration to a specific value, and setting a suitable temperature; if the product is a banana, it needs to be stored away from light, the light will be turned off and the air flow will be reduced; for flowers, within a certain storage time, the system will maintain the oxygen concentration and control the fresh air device at a specific gear. In addition, the transfer box is controlled to automatically perform status detection regularly, such as once every 8 hours, and the subsequent control strategy is adjusted according to the detection results. If abnormal information is detected, such as VOC exceeding the standard, the system will automatically perform fresh air exchange operation; when the abnormal information reaches a certain threshold, the system will send information to the staff for manual intervention to ensure product safety and quality.

[0045] Based on the same inventive concept, the embodiment of the present application also provides an intelligent control device for fresh product transportation for realizing the intelligent control method for fresh product transportation mentioned above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiment of the intelligent control device for fresh product transportation provided below can refer to the limitations of the intelligent control method for fresh product transportation mentioned above, and will not be repeated here.

[0046] See also Figure 2 This embodiment provides an intelligent control device for fresh product transportation, including: The storage period estimation module is used to obtain the transportation destination of the stored product and determine the storage period of the stored product in the transfer box according to the transportation destination; the transfer box has at least image recognition function, light adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air replacement function, which is used to change the environment in the box through various functions to achieve fresh storage of the stored product during the transfer transportation process; The recognition module is used to obtain the image information of the stored products in the transfer box through the image recognition function, and recognize the product type and product status according to the image information; An initial storage plan determination module is used to match the initial storage plan according to the product type; the initial storage plan includes a parameter type set and a value range required to control the change of the environment inside the transfer box when the stored product is stored in a fresh-keeping manner; A storage plan adjustment module is used to adjust the initial storage plan according to the product status and storage period to obtain a new storage plan; the new storage plan includes parameter types and values ​​required to maintain the stored product in the best state during the storage period; The parameter control module is used to adjust the environmental parameters in the transfer box according to the parameter type and value through the light adjustment function, temperature and humidity adjustment function, air adjustment function and fresh air exchange function to meet the storage requirements of the new storage solution.

[0047] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0048] Reference Figure 3 An embodiment of the present invention further provides a computer device, comprising: a memory and a processor and a computer program stored in the memory. When the computer program is executed on the processor, an intelligent control method for fresh product transportation as described in any one of the above methods is implemented.

[0049] The computer device may be a desktop computer, a notebook, a PDA, a cloud server or other computing device. The computer device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 3 It is only an example of a computer device and does not constitute a limitation of the computer device. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0050] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0051] In some embodiments, the memory may be an internal storage unit of the computer device, such as a hard disk or memory of the computer device. In other embodiments, the memory may also be an external storage device of the computer device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device. Further, the memory may include both an internal storage unit and an external storage device of the computer device. The memory is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory may also be used to temporarily store data that has been output or is to be output.

[0052] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, an intelligent control method for fresh product transportation as described in any one of the above methods is implemented.

[0053] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0054] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0055] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0056] In the embodiments disclosed in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0057] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control method for fresh product transportation, characterized in that: The steps include: Obtaining the transportation destination of the stored product, and determining the storage period of the stored product in the transfer box according to the transportation destination; the transfer box has at least image recognition function, lighting adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air replacement function, and is used to change the environment in the box through various functions to achieve fresh storage of the stored product during the transfer transportation process; Acquire image information of the stored product in the transfer box through the image recognition function, and identify the product type and product status according to the image information; Matching an initial storage plan according to the product type; the initial storage plan includes a set of parameter types and a value range required to control the change of the environment inside the transfer box when implementing fresh-keeping storage for the stored product; Adjust the initial storage plan according to the product status and the storage period to obtain a new storage plan; the new storage plan includes parameter types and values ​​required to maintain the stored product in an optimal state during the storage period; According to the parameter type and value, the environmental parameters in the transfer box are adjusted through the lighting adjustment function, the temperature and humidity adjustment function, the air conditioning function and the fresh air exchange function to meet the storage requirements of the new storage solution.

2. The intelligent control method for fresh product transportation according to claim 1, characterized in that: The parameter type set includes gas type parameters, and the gas type parameters include: carbon dioxide concentration, carbon monoxide concentration, oxygen concentration, nitrogen concentration, volatile organic compound concentration and air pressure; The value of the gas type parameter is adjusted by the gas conditioning function and the fresh air replacement function.

3. The intelligent control method for fresh product transportation according to claim 2, characterized in that: The parameter type set also includes: temperature and humidity parameters, the values ​​of which are adjusted by the temperature and humidity adjustment function.

4. The intelligent control method for fresh product transportation according to claim 3, characterized in that: The parameter type set also includes: an illumination parameter, the value of which is adjusted by the illumination adjustment function.

5. The intelligent control method for fresh product transportation according to claim 1, characterized in that: The initial storage plan is adjusted according to the product status and the storage period to obtain a new storage plan, including: Determining whether the product state is the expected storage state of the storage product; If so, determining the specific parameter type and value in the parameter type set according to the storage requirement preset in the expected storage state within the storage period; If not, then within the storage period, the specific parameter types and values ​​in the parameter type set are determined according to the preset storage requirement for delaying the deterioration of the product status.

6. The intelligent control method for fresh product transportation according to claim 1, characterized in that: Also includes: During the storage period, the product status is detected according to a preset detection period, and the storage scheme is updated according to changes in the product status.

7. The intelligent control method for fresh product transportation according to claim 1, characterized in that: Also includes: When the environmental parameter exceeds the corresponding preset value range, an abnormal alarm is issued for manual intervention.

8. An intelligent control device for fresh product transportation, characterized in that: include: A storage period estimation module, used to obtain a transportation destination of the stored product and determine the storage period of the stored product in the transfer box according to the transportation destination; The transfer box has at least image recognition function, light adjustment function, temperature and humidity adjustment function, air conditioning function and fresh air exchange function, and is used to change the environment inside the box through various functions to achieve fresh storage of the stored products during the transfer transportation process; an identification module, used to obtain image information of the stored product in the transfer box through the image recognition function, and identify the product type and product status according to the image information; An initial storage plan determination module, used to match an initial storage plan according to the product type; the initial storage plan includes a parameter type set and a value range required to control the change of the internal environment of the transfer box when implementing fresh-keeping storage for the stored product; A storage scheme adjustment module, used to adjust the initial storage scheme according to the product status and the storage period to obtain a new storage scheme; the new storage scheme includes parameter types and values ​​required to maintain the storage product in an optimal state during the storage period; The parameter control module is used to adjust the environmental parameters in the transfer box according to the parameter type and value through the lighting adjustment function, the temperature and humidity adjustment function, the air conditioning function and the fresh air exchange function to meet the storage requirements of the new storage solution.

9. A computer device, characterized in that: The device comprises a processor and a memory: The memory is used to store a computer program and send instructions of the computer program to the processor; The processor executes the intelligent control method for fresh product transportation according to any one of claims 1 to 7 according to the instructions of the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the intelligent control method for fresh product transportation according to any one of claims 1 to 7 is implemented.

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