Method, device and equipment for controlling cooling capacity of logistics transportation device and medium

Abstract

The invention provides a control method and device for the cooling capacity of a logistics transportation device, equipment and a medium, and relates to the technical field of cold chain transportation. The logistics transportation device comprises a solid elastic clamping device and a heat exchange element. The solid elastic clamping device comprises a driving mechanism and a plurality of refrigerant containers which are arranged in parallel and are used for accommodating solid elastic clamping materials; the driving mechanism loads the solid elastic clamping materials in the refrigerant containers to generate heat, or unloads the solid elastic clamping materials to generate cold; the liquid medium circulation pipeline conveys heat or cold to the heat exchange element through fluid so that the temperature of the transported article storage part can be adjusted. The method comprises the following steps: acquiring the real-time temperature of a transported article storage part; when the real-time temperature exceeds a target temperature range suitable for storage of the transported articles and lasts for a set time period, a refrigerant container combination adjusting instruction is generated according to the real-time temperature; and the refrigerant container connected to the logistics transportation device is adjusted according to the refrigerant container combination adjusting instruction. The energy consumption can be optimized while the cooling capacity output of the solid elastic clamping device is accurately adjusted.

Description

Technical Field

[0001] The present invention relates to the field of cold chain transportation technology, and in particular to a method, device, equipment and medium for controlling the cooling capacity of a logistics transportation device. Background Art

[0002] Traditional cold chain transport systems rely on compressors to provide cooling, resulting in high energy consumption. With the increasing breadth and depth of research into solid-state refrigerants, related technologies have proposed the use of solid-state spring-loaded materials (shape memory alloys) in cold chain transport systems to meet cooling requirements and reduce transportation costs.

[0003] The working principle of the cold chain transport device based on solid-state spring card materials is as follows: the driver periodically applies stress and unloads stress to the solid-state spring card material, causing the solid-state spring card material to release heat to increase temperature and absorb heat to cool down, and releases the heat or cold generated by the solid-state spring card material to the transport item storage part through the medium transmission pipeline to control the ambient temperature of the transported items.

[0004] For logistics boxes that provide cooling and heating based on solid-state spring-loaded materials, there are at least the following technical problems:

[0005] How to precisely adjust the cooling output of the solid-state ejection device to optimize energy consumption while ensuring that the transported items are always within the appropriate temperature range. Summary of the Invention

[0006] Embodiments of the present invention provide a method, device, equipment, and medium for controlling the cooling capacity of a logistics transportation device to solve the problem of how to accurately adjust the cooling output of a solid-state ejection device to optimize energy consumption while ensuring that the transported items are always within an appropriate temperature range.

[0007] In a first aspect, an embodiment of the present invention provides a method for controlling the cooling capacity of a logistics transportation device, comprising:

[0008] The logistics transport device includes: a solid-state ejection device and a heat exchange element; the solid-state ejection device includes a drive mechanism and a plurality of parallel-arranged refrigerant containers containing solid-state ejection materials; each refrigerant container is detachably connected; each refrigerant container includes a liquid medium circulation pipeline; the drive mechanism loads the solid-state ejection materials in each refrigerant container to generate heat, or unloads the solid-state ejection materials to generate cold; the liquid medium circulation pipeline transfers heat or cold to the heat exchange element through fluid to adjust the temperature of the transported item storage portion; the control method includes:

[0009] Get the real-time temperature of the storage area of ​​transported items;

[0010] When the real-time temperature exceeds the target temperature range suitable for storing the transported items and continues for a set period of time, a refrigerant container combination adjustment instruction is generated according to the real-time temperature;

[0011] The refrigerant container connected to the logistics transportation device is adjusted according to the refrigerant container combination adjustment instruction.

[0012] In a possible implementation, generating a refrigerant container combination adjustment instruction according to the real-time temperature includes:

[0013] If the real-time temperature is higher than the upper limit of the target temperature range and the difference exceeds a first threshold, a cooling capacity increase instruction is generated;

[0014] If the real-time temperature is lower than the lower limit of the target temperature range and the difference exceeds a second threshold, a cooling capacity reduction instruction is generated.

[0015] In a possible implementation, before generating the cooling capacity increase instruction, the method further includes:

[0016] Determining a first refrigeration capacity value to be increased based on a temperature difference between the real-time temperature and an upper limit of the target temperature range, and determining the type and number of refrigerant containers that can be connected to the heat exchange element through a liquid medium circulation pipeline based on the first refrigeration capacity value;

[0017] Before generating the cooling capacity reduction instruction, the method further includes:

[0018] A second refrigeration capacity value to be reduced is determined based on a temperature difference between the real-time temperature and an upper limit of the target temperature range, and the type and number of refrigerant containers whose liquid medium circulation pipeline can be disconnected from the heat exchange element are determined based on the second refrigeration capacity value; wherein different types of refrigerant containers have different corresponding cooling outputs per unit time.

[0019] In a possible implementation, the first refrigeration capacity value and the second refrigeration capacity value are determined according to a temperature difference and a preset temperature-cooling capacity mapping table.

[0020] In a possible implementation, the method further includes:

[0021] Obtaining customer order information, wherein the customer order information includes a target temperature and a transportation route;

[0022] Obtain weather forecast information corresponding to the transportation route, and determine an initial refrigerant container combination according to the target temperature and the weather forecast information.

[0023] In one possible implementation, determining an initial refrigerant container combination according to the target temperature and the weather forecast information includes:

[0024] Determine the predicted ambient temperature based on weather forecast information;

[0025] determining a heat load according to the target temperature and the predicted ambient temperature;

[0026] An initial refrigerant container combination is determined according to the heat load; wherein the total cooling capacity output per unit time by the initial refrigerant container is greater than or equal to the heat load.

[0027] In a possible implementation, the method further includes:

[0028] Monitoring abnormal weather forecast information during the transportation of the items corresponding to the customer order;

[0029] When abnormal weather forecast information is monitored, the location of the refrigerant container replacement station preset on the transportation route is obtained, and the transportation route is adjusted according to the location of the refrigerant container replacement station.

[0030] In a second aspect, an embodiment of the present invention provides a device for controlling the cooling capacity of a logistics transportation device, comprising:

[0031] An acquisition module is used to obtain the real-time temperature of the storage unit of the transported items;

[0032] The control module is used to generate a refrigerant container combination adjustment instruction based on the real-time temperature when the real-time temperature exceeds the target temperature range suitable for storing transported items and lasts for a set time period, and adjust the refrigerant container connected to the logistics transport device according to the refrigerant container combination adjustment instruction.

[0033] In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method in the first aspect or any possible implementation of the first aspect is implemented.

[0034] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method in the first aspect or any possible implementation of the first aspect.

[0035] In a fifth aspect, an embodiment of the present invention provides a computer program product, including a computer program, which, when executed by a processor, implements the method in the first aspect or any possible implementation of the first aspect.

[0036] In an embodiment of the present invention, dynamic adaptation of the cooling supply is achieved by continuously acquiring the real-time temperature of the transported goods storage unit and generating a refrigerant container combination adjustment instruction after the over-temperature state reaches a set time. The modular refrigerant container of the solid-state spring-loaded device supports detachable access. The driving mechanism triggers the phase change of the spring-loaded material to produce cooling, and the cooling is transferred to the heat exchange element via the liquid medium circulation pipeline. This solution overcomes the response hysteresis problem of fixed cooling systems in logistics scenarios. When changes in the environmental heat load cause continuous temperature anomalies, the system reorganizes the refrigerant container combination to match actual needs, improves temperature control stability and reduces energy loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a flow chart of a method for controlling the cooling capacity of a logistics transportation device according to an embodiment of the present invention;

[0038] Figure 2 This is a schematic structural diagram of a device for controlling the cooling capacity of a logistics transportation device provided by one embodiment of the present invention;

[0039] Figure 3 FIG. 1 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] This application is applied to the control of a logistics transport device constructed using solid-state card materials. The logistics transport device is a logistics transport vehicle or a logistics transport box. In specific implementations, the logistics transport device can be used to transport items such as fresh food, medical and health products, and chemical materials. Fresh food includes frozen food, refrigerated fresh food, and tropical fruits; medical and health products include biological preparations, living organs and cells, and diagnostic reagents; and chemical materials include precision chemical reagents and chemical gases.

[0041] Before discussing the control solution provided in the embodiment of the present application, the logistics transportation device is first introduced:

[0042] The logistics transportation device includes: a solid-state ejection card device and a heat exchange element; the solid-state ejection card device includes a driving mechanism and multiple refrigerant containers for containing solid-state ejection card materials arranged in parallel; each refrigerant container is detachably connected; each refrigerant container includes a liquid medium circulation pipeline; the driving mechanism loads the solid-state ejection card material in each refrigerant container to generate heat, or unloads the solid-state ejection card material to generate cold; the liquid medium circulation pipeline transports heat or cold to the heat exchange element through fluid to adjust the temperature of the transported item storage part.

[0043] In practice, the logistics transport system integrates multiple refrigerant containers, achieving redundancy to mitigate thermal load fluctuations caused by sudden changes in ambient temperature. If a refrigerant container fails, the independent extrusion structure isolates the failure, preventing it from impacting other containers. Furthermore, while the system is operating, the liquid medium circulation lines in the containers can be opened or closed as needed to regulate the temperature of the transported goods storage area.

[0044] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0045] Figure 1 This is an application scenario diagram of the method for controlling the cooling capacity of a logistics transportation device provided by an embodiment of the present invention. Figure 1 As shown, the following steps are included:

[0046] S101, obtaining the real-time temperature of the transported goods storage unit.

[0047] The execution entities of each embodiment of the present application can be servers, processors, microprocessors and other devices with data processing functions. In the actual implementation process, the specific implementation method of the execution entity can be selected according to actual needs. This embodiment does not impose any special restrictions on this, as long as it is a device with data processing functions.

[0048] When the target logistics transport device is loaded, the distributed temperature sensor array in the transported goods storage unit collects real-time temperature field data. Optionally, the average temperature value of each partition in the transported goods storage unit is used as the real-time temperature of the transported goods storage unit.

[0049] S102 : When the real-time temperature exceeds the target temperature range suitable for storing transported items and continues for a set period of time, a refrigerant container combination adjustment instruction is generated according to the real-time temperature.

[0050] During the specific implementation process, during the transportation of items, as the external temperature fluctuates or a refrigerant container material fails, the total cooling capacity provided by the refrigerant container may not be able to meet the temperature requirements of the storage unit of the transported items.

[0051] The temperature of transport storage units can experience brief fluctuations due to a variety of temporary factors. For example, a vehicle temporarily parked in direct sunlight can cause a temporary rise in the unit's temperature, or when a small amount of items is loaded or unloaded, hot air can enter, causing a sudden temperature change. In these cases, temperature deviations from the target range are often temporary. To prevent unnecessary adjustments to the refrigerant container configuration caused by brief temperature fluctuations, the duration of the real-time temperature deviation from the target range is monitored to improve the stability and economy of cooling capacity control.

[0052] The target temperature is the ideal temperature for storing transported items. This temperature can be obtained from customer order information or by identifying the type of transported items through image recognition and artificial intelligence. If the real-time temperature exceeds the target temperature range and persists for a set period of time, it indicates that the temperature change is not a temporary fluctuation, but rather that the storage unit's temperature regulation capacity is no longer able to cope with the current heating or cooling load changes. This triggers the adjustment of the refrigerant container combination to ensure that the transported items are kept at the appropriate temperature.

[0053] For example: the target temperature range required for fresh fruit is set to 2°C-8°C, and the set time is 5 minutes. The microprocessor compares the stored real-time temperature with the target temperature range in real time. Suppose that during transportation, due to the increase in the external ambient temperature, the real-time temperature of the storage unit gradually rises. When the real-time temperature reaches 9°C, it exceeds the upper limit of the target temperature range of 8°C. The microprocessor continuously monitors the real-time temperature. When the temperature state of 9°C persists for 2 minutes, it determines that the cooling output needs to be adjusted. At this time, the microprocessor generates a cooling capacity increase instruction based on the difference between the current real-time temperature of 9°C and the target temperature upper limit of 8°C, combined with the current operating status of the solid-state ejection device in the logistics transportation device (currently 3 refrigerant containers are connected, and each refrigerant container outputs 500W of cooling per unit time). The instruction contains information that an additional refrigerant container with an output of 500W of cooling per unit time needs to be connected.

[0054] S103: Adjust the refrigerant container connected to the logistics transportation device according to the refrigerant container combination adjustment instruction.

[0055] Adjusting the refrigerant container connected to the logistics transport device according to the refrigerant container combination adjustment instruction includes: controlling the liquid inlet and the liquid outlet of the refrigerant container liquid medium circulation pipeline to be connected or disconnected with the heat exchange element.

[0056] The liquid inlet and outlet of the liquid medium circulation pipeline of the refrigerant container are controlled to be connected with the heat exchange element, so that the liquid medium circulation pipeline of the newly added refrigerant container is connected with the main circulation pipeline, and the newly added cold energy is transported to the heat exchange element through the fluid, thereby increasing the cold energy supply to the storage part of the transported items and gradually reducing the temperature of the storage part to within the target temperature range.

[0057] The liquid medium circulation lines of the control refrigerant containers are disconnected from the main circulation lines. At this time, although these disconnected refrigerant containers may still generate cooling energy, because their circulation lines are no longer connected to the main circulation lines, the cooling energy generated cannot be transferred to the heat exchange element through the fluid, and thus cannot supply cooling energy to the transported goods storage area, so that the temperature of the storage area can gradually return to the target temperature range.

[0058] In this embodiment, dynamic adaptation of the cooling supply is achieved by continuously acquiring the real-time temperature of the transported goods storage unit and generating a refrigerant container combination adjustment instruction after the overtemperature state reaches a set time. The modular refrigerant container of the solid-state spring-loaded device supports detachable access. The drive mechanism triggers the phase change of the spring-loaded material to produce cooling, which is then transferred to the heat exchange element via the liquid medium circulation pipeline. This solution overcomes the response lag problem of fixed cooling systems in logistics scenarios. When changes in the ambient heat load cause persistent temperature anomalies, the system reorganizes the refrigerant container combination to match actual needs, improving temperature control stability and reducing energy loss.

[0059] In a specific embodiment, the specific instruction types of the refrigerant container combination adjustment instructions corresponding to different scenarios are different.

[0060] In one possible implementation, generating a refrigerant container combination adjustment instruction based on the real-time temperature includes:

[0061] If the real-time temperature is higher than the upper limit of the target temperature range and the difference exceeds a first threshold, a cooling capacity increase instruction is generated;

[0062] If the real-time temperature is lower than the lower limit of the target temperature range and the difference exceeds a second threshold, a cooling capacity reduction instruction is generated.

[0063] In practice, the liquid medium circulation pipeline also includes a circulation pump and a solenoid valve. The temperature can be precisely adjusted by adjusting the circulation pump speed and the solenoid valve opening. The first and second thresholds are determined based on the maximum cooling capacity of a single refrigerant container. This defines the adjustment limits of the circulation pump and solenoid valve, allowing precise determination of when cooling capacity adjustment is required by changing the number of refrigerant containers.

[0064] By associating the first and second thresholds with the maximum cooling capacity of a single refrigerant container, this solution seamlessly integrates "fine-tuning" with "increasing and decreasing containers." When temperature deviations are within the adjustable range of the circulating pump and solenoid valve, existing equipment can meet cooling requirements, avoiding equipment loss and energy consumption fluctuations caused by frequent container additions and subtractions. When deviations exceed the adjustable range, cooling capacity is promptly increased or decreased by adjusting the number of containers, ensuring effective temperature control. This setup ensures precise cooling capacity regulation while improving the economic and stable operation of the system.

[0065] For example, the maximum cooling capacity of a single refrigerant container in a logistics transport device is 1000W (i.e., it can output a maximum of 1000W of cooling capacity per unit time). System calibration shows that this maximum cooling capacity corresponds to a temperature regulation capability of 2°C, given the spatial scale of the transported goods storage unit (i.e., when a single refrigerant container is operating at full capacity, it can reduce the storage unit temperature by 2°C from its initial value). Based on this, the first threshold is set to 2°C, which exactly corresponds to the maximum temperature regulation capability of a single refrigerant container.

[0066] Similarly, a single refrigerant container, through the flow regulation of the circulating pump and the control of the solenoid valve opening, can achieve a minimum effective cooling capacity adjustment range of 0-1000W, corresponding to a temperature adjustment range of 0-2°C. When the temperature deviation from the target range is less than 2°C, the circulating pump and solenoid valve can achieve fine-tuning of the cooling capacity by changing the liquid medium circulation flow rate or adjusting the valve opening. However, when the deviation exceeds 2°C, even the circulating pump and solenoid valve in the maximum adjustment state (100% flow, fully open valve) cannot meet the cooling demand, and the cooling capacity must be supplemented by adding more refrigerant containers.

[0067] For the second threshold, its setting logic is consistent with the first threshold. Assuming that a single refrigerant container can reduce the maximum cooling capacity corresponding to a temperature rise of 1.5°C by reducing stress output and reducing circulation flow (that is, when a single container outputs the minimum cooling capacity, the storage temperature can rise by 1.5°C), the second threshold is set to 1.5°C. When the temperature difference below the lower limit of the target range is less than 1.5°C, the circulation pump and solenoid valve can reduce the cooling output by reducing the flow rate, closing the valve, etc.; when the difference exceeds 1.5°C, the above adjustment alone cannot meet the demand, and the total cooling capacity must be reduced by reducing the number of refrigerant containers.

[0068] In this embodiment, differentiated thresholds are set for temperature deviation direction to generate instructions, enhancing control accuracy. When the real-time temperature exceeds the upper limit of the target range and exceeds the first threshold, an instruction to increase cooling capacity is generated to address sudden temperature increases. When the real-time temperature falls below the lower limit and exceeds the second threshold, an instruction to decrease cooling capacity is generated to prevent overcooling.

[0069] Before generating a command to increase or decrease cooling capacity, the required cooling capacity adjustment must be calculated based on the temperature difference, and the specific container adjustment plan must be determined based on the cooling output characteristics of different types of refrigerant containers.

[0070] In a possible implementation, before generating the cooling capacity increase instruction, the method further includes:

[0071] Determining a first refrigeration capacity value to be increased based on a temperature difference between the real-time temperature and an upper limit of a target temperature range, and determining the type and number of refrigerant containers that can be connected to the heat exchange element in the liquid medium circulation pipeline based on the first refrigeration capacity value;

[0072] Before generating a cooling capacity reduction command, it also includes:

[0073] A second refrigeration capacity value to be reduced is determined based on a temperature difference between the real-time temperature and an upper limit of a target temperature range, and the type and number of refrigerant containers whose liquid medium circulation pipeline can be disconnected from the heat exchange element are determined based on the second refrigeration capacity value; wherein different types of refrigerant containers have different corresponding cooling outputs per unit time.

[0074] In different embodiments, the cooling capacity released per unit time by the multiple refrigerant containers connected in parallel in the logistics transportation device is the same or different.

[0075] When multiple refrigerant containers connected in parallel in a logistics transport system deliver the same amount of cooling per unit time, the system's logic for calculating and adjusting the refrigerant container combination is relatively simple, as each container has the same cooling capacity. This allows the system to quickly respond to temperature changes, reducing computational complexity and decision-making time. Furthermore, refrigerant containers with the same cooling output are highly interchangeable, simplifying maintenance. Staff do not need to distinguish between container types. If a refrigerant container fails or needs replacement, any container of the same specification can be directly substituted, improving maintenance efficiency.

[0076] When multiple refrigerant containers connected in parallel in a logistics transport device release different amounts of cold per unit time, the system has greater flexibility and accuracy in regulating the cooling capacity. By configuring containers with different cooling outputs, such as a combination of containers that release 300W, 600W, and 1000W of cooling per unit time, the system can more accurately select the appropriate container combination based on the actual temperature changes and the required cooling capacity. For example, when the temperature deviation is small, only the 300W container with a smaller cooling output can be connected for fine-tuning; when the temperature deviation is large, the 1000W high-cooling capacity container is preferentially connected for rapid cooling. This on-demand allocation method can significantly improve the accuracy of cooling capacity regulation and better maintain the temperature stability of the storage part of the transported items. At the same time, the system can select the container combination with the minimum necessary cooling output according to actual needs to avoid energy waste due to excessive cooling.

[0077] An example is given for illustrating that multiple refrigerant containers connected in parallel in a logistics transport device release different amounts of cooling per unit time. For example, the logistics transport device includes two types of refrigerant containers:

[0078] Type A container: The cooling capacity per unit time is 1000W, and the corresponding temperature regulation capacity is 2°C (the storage temperature can be reduced by 2°C when running at full load);

[0079] Type B container: The cooling capacity per unit time is 500W, and the corresponding temperature regulation capacity is 1°C (the storage temperature can be reduced by 1°C when running at full load).

[0080] When the first cooling capacity value to be increased is determined to be 1000W based on the temperature difference between the real-time temperature and the upper limit of the target temperature range, 1 Type A (1000W) or 2 Type B (1500W) can be connected; when the first cooling capacity value to be increased is determined to be 1500W based on the temperature difference between the real-time temperature and the upper limit of the target temperature range, 1 Type A + 1 Type B (500W) or 3 Type B (500W) can be connected.

[0081] In this embodiment, the temperature difference is converted into a specific cooling capacity requirement and associated with the type and quantity of refrigerant containers. After determining the required cooling capacity based on the temperature difference, container combinations are selected based on the cooling output characteristics of different container types per unit time. This approach not only meets cooling requirements under varying temperature differences but also reduces energy waste through precise matching.

[0082] In a possible implementation, the first refrigeration capacity value and the second refrigeration capacity value are determined according to the temperature difference and a preset temperature-cooling capacity mapping table.

[0083] In the specific implementation process, in order to achieve accurate calculation of the cooling capacity, a temperature-cooling capacity mapping table is pre-constructed, the continuous temperature difference is discretized into multiple intervals, and the corresponding first cooling capacity value and second cooling capacity value are matched for each interval.

[0084] For example, taking fresh fruit transportation as an example, the target temperature range is 2°C-8°C, and the following mapping table is established:

[0085] Temperature difference range (℃) First cooling capacity value (W) Second cooling capacity value (W) 0.5<△T≤1.0 300 -200 1.0<△T≤1.5 500 -300 1.5<△T≤2.0 800 -500 2.0<△T≤2.5 1000 -800 2.5<ΔT≤3.0 1300 -1000

[0086] The temperature difference ΔT is the absolute value of the difference between the real-time temperature and the upper limit (8°C) or lower limit (2°C) of the target temperature range. The first cooling capacity value is the cooling capacity that needs to be increased when the real-time temperature is greater than 8°C. The second cooling capacity value is the cooling capacity that needs to be reduced when the real-time temperature is less than 2°C. A negative value indicates a reduction.

[0087] Assuming the real-time temperature is 10.5°C, the difference from the target upper limit of 8°C is 2.5°C. The corresponding first cooling capacity value is 1300W. At this point, the system is already connected to one Type A container (1000W), requiring an additional 300W of cooling capacity. Based on the characteristics of the refrigerant container type, a Type B container (500W) is selected, increasing the total cooling capacity to 1500W, which can reduce the temperature by approximately 3°C (1500W / 500W × 1°C = 3°C), meeting the cooling requirement.

[0088] In this embodiment, the pre-stored temperature-cooling capacity mapping table realizes the rapid conversion of cooling capacity, ensures the accuracy of cooling capacity adjustment through refined interval division, and reduces the system computing burden and improves the response speed.

[0089] The above embodiment mainly introduces how to control the cooling capacity of the logistics transport device during transportation. In the specific implementation process, in order to reduce the high-frequency container access / exit operations during transportation after departure, the refrigerant container is connected according to a determined combination during the loading stage.

[0090] In a possible implementation, the method further includes:

[0091] Obtaining customer order information, wherein the customer order information includes target temperature and transportation route;

[0092] Obtain weather forecast information corresponding to the transportation route and determine the initial refrigerant container combination based on the target temperature and weather forecast information.

[0093] Before a transport mission begins, the system first extracts core information from the logistics transport equipment management system, including the target temperature of the transported items and the transport route. It then uses the meteorological data interface to obtain weather forecast information for key nodes along the transport route. This includes the predicted ambient temperature (maximum, minimum, and average temperature), weather conditions (sunny / rainy / snowy), and extreme weather warnings (e.g., orange warnings for high temperatures and blue warnings for cold snaps) for each node during the transport period.

[0094] The initial refrigerant container combination is determined based on the maximum difference between the target temperature and the predicted ambient temperature, combined with the heat load. For example, when the cooling capacity needs to be increased in the high-temperature section and reduced in the low-temperature section, the containers are configured according to the extreme scenario and an adjustment margin is reserved.

[0095] In this embodiment, an initial refrigerant combination is preconfigured based on the customer's order target temperature and the weather forecast for the transport route. Core temperature control parameters are derived from the order information, and the ambient heat load trend is predicted based on route weather data. The appropriate container combination is then loaded at the start of transport. This mechanism shifts from a passive response to a proactive one, reducing the need for emergency adjustments during transport and ensuring consistent temperature control throughout the entire process.

[0096] In different embodiments, the manner of determining the initial refrigerant container combination according to the target temperature and weather forecast information is different.

[0097] In one possible implementation, determining an initial refrigerant container combination based on a target temperature and weather forecast information includes:

[0098] Determine the predicted ambient temperature based on weather forecast information;

[0099] Determine the heat load based on the target temperature and the predicted ambient temperature;

[0100] The initial refrigerant container combination is determined based on the heat load; wherein the total cooling capacity output per unit time by the initial refrigerant container is greater than or equal to the heat load.

[0101] In this embodiment, the heat load is calculated based on the difference between the predicted ambient temperature and the target temperature, and this is used to set the lower limit for the total cooling capacity of the initial refrigerant container. By quantifying the expected heat exchange intensity, the initial combined cooling capacity is ensured to cover the theoretical maximum load, such as when transporting frozen goods in high-temperature areas. This rule eliminates the uncertainty of empirical configuration and prevents temperature control failures caused by insufficient cooling capacity during the initial transportation period.

[0102] In other possible implementations, determining the initial refrigerant container combination based on the target temperature and weather forecast information includes:

[0103] Establish a historical transportation database in the logistics and transportation system to store transportation data for different transportation routes and time periods, including the weather forecast at that time, the actual ambient temperature, the target temperature of the transported goods, the refrigerant container combination used, and the temperature control effect during transportation;

[0104] A refrigerant container combination corresponding to the record with the highest temperature control effect score is selected from a historical transportation database based on the target temperature, weather forecast information, and transportation route.

[0105] In a possible implementation, the method further includes:

[0106] Monitor abnormal weather forecast information during the transportation of items corresponding to customer orders;

[0107] When abnormal weather forecast information is monitored, the location of the refrigerant container replacement station preset on the transportation route is obtained, and the transportation route is adjusted according to the location of the refrigerant container replacement station.

[0108] During logistics transportation, abnormal weather may significantly change the environmental heat load and cause sudden pressure on the cold chain system.

[0109] Specifically, in logistics and transportation, abnormal weather forecast information can be categorized as high temperature weather (continuous high temperatures or sudden rises, resulting in a surge in heat load), low temperature weather (continuous low temperatures or sudden drops, which can easily lead to over-cooling), extreme weather (rainstorms, typhoons, etc. accompanied by dramatic changes in temperature and humidity, affecting heat conduction), and rapid temperature changes (high-frequency temperature fluctuations, such as day-night temperature differences in mountainous areas and temperature changes in tunnels). If the initial refrigerant container combination cannot meet the sudden abnormal weather conditions, it is necessary to plan the transportation route in advance to the refrigerant container replacement station to adjust the refrigerant container combination to meet the cooling needs of the transported goods in abnormal weather and ensure the quality of the goods transported.

[0110] In this embodiment, the route is adjusted by monitoring abnormal weather forecasts during transportation and linking them to the location of refrigerant container exchange stations. When an extreme weather warning is detected, a dynamic route is planned to the nearest refrigerant container exchange station for refueling. This design incorporates route optimization into the temperature control system, addressing cooling capacity gaps caused by unforeseen surges in heat load and enhancing cargo safety.

[0111] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0112] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0113] Figure 2 A schematic diagram of the structure of a control device for the cooling capacity of a logistics transportation device provided by an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0114] like Figure 2 As shown, the control device 2 for the cooling capacity of the logistics transportation device includes:

[0115] An acquisition module 201 is used to acquire the real-time temperature of the transported item storage unit;

[0116] The control module 202 is used to generate a refrigerant container combination adjustment instruction based on the real-time temperature when the real-time temperature exceeds the target temperature range suitable for storing transported items and continues for a set period of time, and adjust the refrigerant container connected to the logistics transport device according to the refrigerant container combination adjustment instruction.

[0117] In a possible implementation, the control module 202 is specifically configured to:

[0118] If the real-time temperature is higher than the upper limit of the target temperature range and the difference exceeds a first threshold, a cooling capacity increase instruction is generated;

[0119] If the real-time temperature is lower than the lower limit of the target temperature range and the difference exceeds a second threshold, a cooling capacity reduction instruction is generated.

[0120] In one possible implementation, the control module 202 is further configured to, before generating the cooling capacity increase instruction, determine a first cooling capacity value to be increased based on a temperature difference between the real-time temperature and an upper limit of a target temperature range, and determine the type and number of refrigerant containers that can be connected to the heat exchange element in the liquid medium circulation pipeline based on the first cooling capacity value;

[0121] Before generating a refrigeration capacity reduction instruction, a second refrigeration capacity value to be reduced is determined based on the temperature difference between the real-time temperature and the upper limit of the target temperature range, and the type and number of refrigerant containers whose liquid medium circulation pipeline can be disconnected from the heat exchange element are determined based on the second refrigeration capacity value; wherein different types of refrigerant containers have different corresponding output cooling capacities per unit time.

[0122] In a possible implementation, the first refrigeration capacity value and the second refrigeration capacity value are determined according to the temperature difference and a preset temperature-cooling capacity mapping table.

[0123] In a possible implementation, the acquisition module 201 is further configured to acquire customer order information and weather forecast information corresponding to a transportation route; wherein the customer order information includes a target temperature and a transportation route;

[0124] The control module 202 is further configured to determine an initial refrigerant container combination according to the target temperature and weather forecast information.

[0125] In a possible implementation, the control module 202 is specifically configured to:

[0126] Determine the predicted ambient temperature based on weather forecast information;

[0127] Determine the heat load based on the target temperature and the predicted ambient temperature;

[0128] The initial refrigerant container combination is determined based on the heat load; wherein the total cooling capacity output per unit time by the initial refrigerant container is greater than or equal to the heat load.

[0129] In a possible implementation, the control module 202 is further configured to:

[0130] Monitor abnormal weather forecast information during the transportation of items corresponding to customer orders;

[0131] When abnormal weather forecast information is monitored, the location of the refrigerant container replacement station preset on the transportation route is obtained, and the transportation route is adjusted according to the location of the refrigerant container replacement station.

[0132] In this embodiment, in the embodiment of the present invention, dynamic adaptation of the cooling supply is achieved by continuously acquiring the real-time temperature of the transported goods storage unit and generating a refrigerant container combination adjustment instruction after the over-temperature state reaches a set time. The modular refrigerant container of the solid-state spring-clip device supports detachable access, and the driving mechanism triggers the phase change of the spring-clip material to produce cooling, and the cooling is transferred to the heat exchange element through the liquid medium circulation pipeline. This solution overcomes the response hysteresis problem of fixed cooling systems in logistics scenarios. When changes in environmental heat load cause continuous temperature anomalies, the system reorganizes the refrigerant container combination to match actual needs, improves temperature control stability and reduces energy loss.

[0133] Figure 3 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, the electronic device 3 of this embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, the steps of the above-described method embodiments are implemented. Alternatively, when the processor 30 executes the computer program 32, the functions of the modules / units in the above-described device embodiments are implemented.

[0134] Exemplarily, the computer program 32 may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 32 in the electronic device 3.

[0135] The electronic device 3 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will appreciate that Figure 3 It is only an example of electronic device 3 and does not constitute a limitation of electronic device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, electronic device 3 may also include input and output devices, network access devices, buses, etc.

[0136] The processor 30 may be a central processing unit (CPU), or 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. The general-purpose processor may be a microprocessor or any conventional processor.

[0137] The memory 31 can be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the electronic device 3. Furthermore, the memory 31 can also include both an internal storage unit of the electronic device 3 and an external storage device. The memory 31 is used to store the computer program 32 and other programs and data required by the electronic device 3. The memory 31 can also be used to temporarily store data that has been output or is about to be output.

[0138] For the sake of convenience and brevity, the division of the above functional modules / units is only used as an example. In actual applications, the above functions can be assigned to different functional modules / units as needed. The above modules / units can be implemented in the form of hardware, software, or a combination of hardware and software.

[0139] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods in the above-mentioned method embodiments.

[0140] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the methods in the above-mentioned method embodiments.

[0141] The computer program includes computer program code, which may be in source code form, object code form, executable file, or some intermediate form. Computer-readable media may include any entity or device capable of carrying computer program code, recording media, USB flash drives, mobile hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunications signals, and software distribution media.

[0142] In the above embodiments, the descriptions of each embodiment have their own focus. For parts not described or recorded in detail in one embodiment, please refer to the relevant descriptions of other embodiments. Unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other. The technical features of different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0143] The embodiments described above 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 they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. 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 various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for controlling the cooling capacity of a logistics transport device, characterized in that: The logistics transport device includes: a solid-state ejection device and a heat exchange element; the solid-state ejection device includes a drive mechanism and a plurality of parallel-arranged refrigerant containers containing solid-state ejection materials; each refrigerant container is detachably connected; each refrigerant container includes a liquid medium circulation pipeline; the drive mechanism loads the solid-state ejection materials in each refrigerant container to generate heat, or unloads the solid-state ejection materials to generate cold; the liquid medium circulation pipeline transfers heat or cold to the heat exchange element through fluid to adjust the temperature of the transported item storage portion; the control method includes: Get the real-time temperature of the storage area of ​​transported items; When the real-time temperature exceeds the target temperature range suitable for storing the transported items and continues for a set period of time, a refrigerant container combination adjustment instruction is generated according to the real-time temperature; The refrigerant container connected to the logistics transportation device is adjusted according to the refrigerant container combination adjustment instruction.

2. The method for controlling the cooling capacity of a logistics transportation device according to claim 1, characterized in that: Generating a refrigerant container combination adjustment instruction according to the real-time temperature includes: If the real-time temperature is higher than the upper limit of the target temperature range and the difference exceeds a first threshold, a cooling capacity increase instruction is generated; If the real-time temperature is lower than the lower limit of the target temperature range and the difference exceeds a second threshold, a cooling capacity reduction instruction is generated.

3. The method for controlling the cooling capacity of a logistics transportation device according to claim 2, characterized in that: Before generating the cooling capacity increase instruction, the method further includes: Determining a first refrigeration capacity value to be increased based on a temperature difference between the real-time temperature and an upper limit of the target temperature range, and determining the type and number of refrigerant containers that can be connected to the heat exchange element through a liquid medium circulation pipeline based on the first refrigeration capacity value; Before generating the cooling capacity reduction instruction, the method further includes: A second refrigeration capacity value to be reduced is determined based on a temperature difference between the real-time temperature and an upper limit of the target temperature range, and the type and number of refrigerant containers whose liquid medium circulation pipeline can be disconnected from the heat exchange element are determined based on the second refrigeration capacity value; wherein different types of refrigerant containers have different corresponding cooling outputs per unit time.

4. The method for controlling the cooling capacity of a logistics transportation device according to claim 3, characterized in that: The first refrigeration capacity value and the second refrigeration capacity value are determined according to a temperature difference and a preset temperature-cooling capacity mapping table.

5. The method for controlling the cooling capacity of a logistics transportation device according to claim 1, characterized in that: Also includes: Obtaining customer order information, wherein the customer order information includes a target temperature and a transportation route; Obtain weather forecast information corresponding to the transportation route, and determine an initial refrigerant container combination according to the target temperature and the weather forecast information.

6. The method for controlling the cooling capacity of a logistics transportation device according to claim 5, characterized in that: The determining of an initial refrigerant container combination according to the target temperature and the weather forecast information includes: Determine the predicted ambient temperature based on weather forecast information; determining a heat load according to the target temperature and the predicted ambient temperature; An initial refrigerant container combination is determined according to the heat load; wherein the total cooling capacity output per unit time by the initial refrigerant container is greater than or equal to the heat load.

7. The method for controlling the cooling capacity of a logistics transportation device according to claim 5, characterized in that: Also includes: Monitoring abnormal weather forecast information during the transportation of the items corresponding to the customer order; When abnormal weather forecast information is monitored, the location of the refrigerant container replacement station preset on the transportation route is obtained, and the transportation route is adjusted according to the location of the refrigerant container replacement station.

8. A control device for executing the method for controlling the cooling capacity of a logistics transportation device according to any one of claims 1 to 7, characterized in that: include: An acquisition module is used to obtain the real-time temperature of the storage unit of the transported items; The control module is used to generate a refrigerant container combination adjustment instruction according to the real-time temperature when the real-time temperature exceeds the target temperature range suitable for storing the transported items and lasts for a set time period, and adjust the refrigerant container connected to the logistics transport device according to the refrigerant container combination adjustment instruction.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method for controlling the cooling capacity of a logistics transportation device according to any one of claims 1 to 7 is implemented.

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 method for controlling the cooling capacity of a logistics transportation device according to any one of claims 1 to 7 is implemented.

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