Control method for multiple refrigerated containers and refrigerated container system

Abstract

The invention discloses a control method for multiple refrigerated containers, the multiple refrigerated containers are connected with an intelligent mother cabin through independent power supply interfaces, the intelligent mother cabin is provided with a power supply module for supplying power to the multiple refrigerated containers in a centralized mode, and the control method is executed by the intelligent mother cabin and comprises the steps that the power supply module is controlled to independently supply power to each refrigerated container in real time; receiving real-time operation data of each refrigerating box; based on a preset strategy and the real-time operation data, a corresponding refrigeration control instruction is generated for each refrigerating box; and each refrigeration control instruction is sent to the corresponding refrigeration box so that the refrigeration box can conduct refrigeration according to the refrigeration control instruction.

Description

Technical Field

[0001] This application belongs to the field of control technology for refrigeration equipment, and particularly relates to a control method and refrigeration system for multiple refrigeration boxes. Background Technology

[0002] With the development of cold chain logistics and outdoor applications, it is often necessary to use multiple portable refrigerated boxes simultaneously. Currently, the solutions on the market that meet this need mainly use multiple independent portable refrigerated boxes, each with its own battery and control system. This increases the total system weight, and the cost increases with the number of boxes. In addition, because each box operates independently, centralized monitoring and coordinated control are impossible, resulting in complex operation and a poor user experience. Therefore, existing technologies suffer from poor system integration and low energy efficiency, urgently requiring an integrated solution. Summary of the Invention

[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a control method and a refrigerator system for multiple refrigerators.

[0004] In a first aspect, this application provides a control method for multiple refrigerated containers, wherein the multiple refrigerated containers are connected to an intelligent cabin via independent power supply interfaces, the intelligent cabin is equipped with a power module that centrally supplies power to the multiple refrigerated containers, and the control method is executed by the intelligent cabin, including: The power module is controlled to provide power to each of the refrigerators independently in real time. Receive real-time operating data for each of the aforementioned refrigerators; Based on the preset strategy and the real-time operating data, a corresponding refrigeration control command is generated for each of the refrigerator boxes. Each of the aforementioned refrigeration control commands is sent to the corresponding refrigerator, so that the refrigerator performs refrigeration according to the refrigeration control command.

[0005] In some implementations, generating corresponding refrigeration control commands for each refrigerator based on a preset strategy and the real-time operating data includes: Based on the type of items stored in each refrigerator and the real-time temperature data, the refrigeration control parameters of each refrigerator are calculated to generate the refrigeration control command.

[0006] In some implementations, generating corresponding refrigeration control commands for each refrigerator based on a preset strategy and the real-time operating data includes: Receive administrator commands input in real time; Based on the administrator's instructions and the real-time operating data, a corresponding refrigeration control instruction is generated for each of the refrigerators.

[0007] In some implementations, generating corresponding refrigeration control commands for each refrigerator based on a preset strategy and the real-time operating data includes: Obtain the cooling priority of each refrigerator, either preset or specified by the administrator; Based on the cooling priority and the real-time operating data, power is allocated to each of the refrigerators, and corresponding cooling control commands are generated.

[0008] In some embodiments, the control method further includes: Monitor the power supply interface; When a newly connected refrigerator is detected, a pre-power-on and self-test are performed on the newly connected refrigerator, and power is provided.

[0009] In some embodiments, the control method further includes: When a power outage or abnormality is detected, the power supply interface corresponding to the power outage or abnormality is immediately shut down to cut off the power supply to the power supply interface.

[0010] In some embodiments, the control method further includes: Monitor the environmental status of the intelligent mothership; The step of generating corresponding refrigeration control commands for each refrigerator based on the preset strategy and the real-time operating data includes: Based on the preset strategy, the real-time operating data, and the environmental status, a corresponding refrigeration control command is generated for each refrigerator.

[0011] In some embodiments, the control method further includes: Monitor the power status of the power module in real time; The step of generating corresponding refrigeration control commands for each refrigerator based on the preset strategy and the real-time operating data includes: When the remaining power of the power module is lower than the first threshold, the refrigeration control command of at least one refrigerator is adjusted to reduce the refrigeration power consumption of the at least one refrigerator. When the remaining power of the power module is lower than the second threshold, the power supply to at least one refrigerator is cut off, where the second threshold is lower than the first threshold.

[0012] Secondly, this application also provides a refrigerator system, comprising: The intelligent mother cabin includes a central processing unit, a power module and multiple power supply interfaces, and the power supply circuit of each power supply interface is independently controlled by the central processing unit. At least one refrigerated container, each of the refrigerated containers being physically and electrically connected to any of the power supply interfaces of the intelligent mother cabin via a docking interface, wherein both the power supply interface and the docking interface include a mechanical connection part and an electrical connection part; The refrigerator includes a slave control unit and a refrigeration module placed inside the refrigerator. The slave control unit is electrically connected to the refrigeration module and is used to drive the refrigeration module. The central processing unit is configured to control the power module to provide power to each refrigerator independently in real time; receive real-time operating data of each refrigerator; generate corresponding refrigeration control commands for each refrigerator based on a preset strategy and the real-time operating data; and send each refrigeration control command to the corresponding refrigerator so that the refrigerator performs refrigeration according to the refrigeration control command.

[0013] In some embodiments, the intelligent cabin also includes a human-machine interface connected to the central processor, used to display real-time operating data and preset strategies for each of the refrigerated containers, and to receive administrator commands set by the administrator.

[0014] The control method and system for multiple refrigerated containers in this application integrate the core power supply and control system into an intelligent cabin, allowing the refrigerated containers to retain only essential refrigeration and sensing functions. This effectively solves the problems of bulky equipment and high costs associated with traditional multi-independent refrigerated container systems. Simultaneously, the intelligent cabin can centrally monitor the real-time operating status of each refrigerated container and generate independent control commands for each container based on preset strategies, achieving precise refrigeration. This significantly improves the management chaos in multi-device collaborative operation and realizes centralized energy and management. Thus, users only need to configure one intelligent cabin to flexibly expand to multiple refrigerated containers, greatly reducing the total system cost, weight, and operational complexity.

[0015] Additional aspects and advantages of embodiments of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of embodiments of this application. Attached Figure Description

[0016] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application; Figure 2 This is a structural schematic diagram of a refrigerator system according to certain embodiments of this application; Figure 3 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application; Figure 4 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application; Figure 5 This is a structural schematic diagram of a refrigerator system according to certain embodiments of this application; Figure 6 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application; Figure 7 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application; Figure 8 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application; Figure 9 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application; Figure 10 This is a flowchart illustrating a control method for multiple refrigerators according to certain embodiments of this application.

[0017] Explanation of key component symbols: Refrigerated box system 10; Intelligent cabin 11, refrigerated box 12, power module 111, central processing unit 112, power supply interface 113, human-machine interface 114. Detailed Implementation

[0018] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0019] Please see Figure 1 and Figure 2 This application provides a control method for multiple refrigerated containers. The multiple refrigerated containers are connected to a smart cabin via independent power supply interfaces. The smart cabin is equipped with a power module that centrally supplies power to the multiple refrigerated containers. The control method is executed by the smart cabin and includes: 01: The control power module provides power to each refrigerator independently in real time; 02: Receive real-time operating data for each refrigerator; 03: Based on preset strategies and real-time operating data, generate corresponding refrigeration control commands for each refrigerator; 04: Send each refrigeration control command to the corresponding refrigerator, so that the refrigerator can refrigerate according to the refrigeration control command.

[0020] Please see Figure 2The control method of this application is applied to a refrigerated container system 10. The refrigerated container system 10 includes an intelligent motherboard 11 and at least one refrigerated container 12. The intelligent motherboard 11 includes a central processing unit 112, a power module 111, and multiple power supply interfaces 113. The power supply circuit of each power supply interface 113 is independently controlled by the central processing unit 112. Each refrigerated container 12 is physically and electrically connected to any power supply interface 113 of the intelligent motherboard 11 through a docking interface. Both the power supply interface 113 and the docking interface include mechanical connection parts and electrical connection parts. The refrigerated container 12 includes a slave control unit and a refrigeration module placed inside the container. The slave control unit is electrically connected to the refrigeration module and is used to drive the refrigeration module. The central processing unit 112 is configured to control the power module 111 to provide power to each refrigerator 12 independently in real time; receive real-time operating data of each refrigerator 12; generate corresponding refrigeration control commands for each refrigerator 12 based on preset strategies and real-time operating data; and send each refrigeration control command to the corresponding refrigerator 12 so that the refrigerator 12 can perform refrigeration according to the refrigeration control command.

[0021] Specifically, multiple refrigerated containers 12 are connected to the intelligent cabin 11 via independent power supply interfaces 113. The intelligent cabin 11 is equipped with a power module 111 that centrally supplies power to the multiple refrigerated containers 12. The intelligent cabin 11 controls the power module 111 to provide power to each refrigerated container 12 independently in real time. Each refrigerated container 12 includes a refrigeration system, a container body, an insulation layer, a slave control unit, and a docking interface. The refrigeration module can be a DC compressor and its associated evaporator, condenser, and cooling fan. The slave control unit is responsible for driving the compressor and fan of its container and reading temperature sensor data inside the container. Simultaneously, the slave control unit can communicate with the central processing unit 112 of the intelligent cabin 11 to receive refrigeration control commands and report the current internal temperature and operating status. The docking interface refers to a connector that matches the cabin interface, used to achieve physical and electrical connection. When the docking interface is successfully connected to the power supply interface 113, the refrigerated container 12 can obtain power from the intelligent cabin 11 in real time and establish communication.

[0022] The power module 111 is a core energy subsystem within the intelligent mothership 11 designed for centralized power supply, and includes, but is not limited to, a large-capacity battery. In some embodiments, external power sources such as mains power, on-board charging, or solar power can provide external power to the battery.

[0023] The independent power supply interface 113 refers to a dedicated interface unit integrated on the outer shell of the intelligent cabin 11, used for physical connection and electrical coupling of multiple refrigerators 12. Each interface is independently controllable, meaning that the power output of each interface can be individually switched, adjusted, or monitored by the central processing unit 112 of the intelligent cabin 11. For example, when the central processing unit 112 determines that it is necessary to temporarily stop supplying power to a refrigerator 12 connected to a certain interface, it can individually turn off the switch of the corresponding channel in the management circuit, while the power supply to other interfaces remains unaffected. The power supply interface 113 typically includes a mechanical connection part and an electrical connection part. The mechanical connection part can use strong magnetic attraction, automatic locking, or quick-release latches to ensure that the refrigerators 12 are securely connected. The electrical connection part can use a multi-pin connector, integrating high-current power pins and bidirectional data communication pins. In this way, the central processing unit 112 can independently provide power to each refrigerator 12 in real time through the independent power supply interface 113.

[0024] Meanwhile, the intelligent cabin 11 receives real-time operating data from each refrigerator 12. This process can be completed through the bidirectional data communication link integrated in each power supply interface 113, forming a continuous data reporting channel. Real-time operating data can be generated by the slave control unit of the refrigerator 12. For example, the slave control unit collects key status information of its refrigerator 12 and actively or reactively reports it to the central processing unit 112 of the intelligent cabin 11 through the communication link. Real-time operating data includes, but is not limited to, the type of goods stored in the refrigerator 12, the temperature data of the refrigerator 12 (such as the current temperature value and recent trend), equipment status data (such as the current operating mode of the compressor, the status of the fan and fault alarm codes), and the container identification information, which can be set according to the actual application scenario.

[0025] Furthermore, upon receiving real-time operational data, the intelligent cabin 11 generates corresponding refrigeration control commands for each refrigerator 12 based on preset strategies and the real-time operational data, and sends each refrigeration control command to the corresponding refrigerator 12, enabling the refrigerator 12 to perform refrigeration according to the refrigeration control commands. The preset strategy can be the control logic and rule set stored within the intelligent cabin 11, or it can be a strategy generated from administrator commands input by the user in real time. The central processing unit 112 fuses and analyzes the preset strategy and real-time operational data, and then performs strategy calculations for each connected refrigerator 12, that is, outputs its independent refrigeration control commands to different refrigerators 12. These commands may include specific action commands, such as "start the compressor" or "adjust the fan," as well as necessary parameters, such as power level and operating time. The central processing unit 112 sends each command to the slave control unit of the target refrigerator 12 through a corresponding independent communication link.

[0026] In one embodiment, the preset strategy is to stabilize the internal temperature of each refrigerator 12 near its respective preset target value. The central processing unit 112 receives data from the refrigerator 121: the set temperature is 2°C, and the current temperature is 6°C. Based on the preset strategy algorithm, it determines that the current temperature difference is large and rapid cooling is required. Therefore, it sends a "maximum power cooling" cooling control command to the refrigerator 121. Upon receiving this command, the slave control unit of the refrigerator 121 controls its compressor to run at full speed. When subsequent real-time operating data shows that the temperature of the refrigerator 121 has dropped to 2.5°C, the central processing unit 112 determines that the temperature difference has narrowed, switches to maintenance mode, generates and issues a new command, sending a "low power maintenance" command to the refrigerator 121 to avoid overcooling and save energy. It is understood that the preset strategy can be pre-programmed according to the actual application scenario.

[0027] Thus, this embodiment integrates the core power supply and control system into the intelligent cabin 11, allowing the refrigerated container 12 to retain only the necessary refrigeration and sensing functions. This effectively solves the problems of bulky equipment and high cost caused by traditional multi-independent refrigerated container systems 10. Simultaneously, the intelligent cabin 11 can centrally monitor the real-time operating status of each refrigerated container 12, generating independent control commands for each container based on preset strategies to achieve precise refrigeration. This significantly improves the management chaos in multi-device collaborative operation and achieves centralized energy and management. Therefore, users only need to configure one intelligent cabin 11 to flexibly expand to multiple refrigerated containers 12, greatly reducing the total system cost, weight, and maintenance complexity.

[0028] Please see Figure 3 In some implementations, based on preset strategies and real-time operating data, generating corresponding refrigeration control commands for each refrigerator includes: 031: Based on the type of items stored in each refrigerator and the real-time temperature data, calculate the refrigeration control parameters for each refrigerator to generate refrigeration control commands.

[0029] Correspondingly, the central processing unit 112 in the intelligent cabin 11 calculates the refrigeration control parameters of each refrigerated box 12 based on the type of items stored in each refrigerated box 12 and the real-time temperature data, so as to generate refrigeration control commands.

[0030] In some implementations, the type of items stored in the refrigerator 12 can be data set by the smart cabin 11 or data from the refrigerator 12 itself; that is, the type of items can be obtained from either the smart cabin 11 or the refrigerator 12. In one example, the user can select or customize the item type for each connected refrigerator 12 through the human-machine interface of the smart cabin 11. For example, the user can select "vaccines / biological agents," "blood / tissue samples," "fresh food," "frozen reagents," etc., from a preset list, or create a custom type. Additionally, real-time temperature data includes the current actual measured value inside the refrigerator, continuously collected and reported by the temperature sensor built into the refrigerator 12, as well as other temperature information such as the target temperature value and the maximum allowable temperature fluctuation range. It is understood that in some implementations, temperature information such as the target temperature value and the maximum allowable temperature fluctuation range, which are related to the type of stored items or the refrigerator 12, can also be bound to the type of stored items as the same set of data, while the real-time temperature data only includes real-time measured values ​​and some dynamic temperature information such as temperature change trends.

[0031] Specifically, based on the type of items stored in each refrigerator 12 and real-time temperature data, refrigeration control parameters for each refrigerator 12 are calculated to generate refrigeration control commands. These calculated refrigeration control parameters refer to the specific quantitative commands calculated by the central processing unit 112 of the intelligent cabin 11, used to directly drive the operation of the refrigeration module of the refrigerator 12. These parameters are used to ultimately generate the refrigeration control commands. The refrigeration control parameters include, but are not limited to, compressor duty cycle, compressor start-stop cycle, and target fan speed level.

[0032] In one example, the type of item stored in the refrigerator 12 is set to "vaccines," with a target temperature of 5°C and a temperature fluctuation range of 5±3°C, where minimal fluctuation is desirable. Simultaneously, the received real-time temperature is 8.5°C. Based on the type of stored item and the real-time temperature data, the calculated temperature difference is +3.5°C, exceeding the upper limit of the target range. Considering the sensitivity of the "vaccine" type to temperature fluctuations, it is determined that rapid and stable cooling is required. The central processing unit 112 calculates and generates the following cooling control parameters: high duty cycle 85% compressor start + high fan speed. Further cooling control instructions are generated: start the compressor with an 85% duty cycle, coupled with high fan speed. This allows the refrigerator 12 to quickly improve cooling efficiency while avoiding temperature fluctuations within the refrigerator due to drastic power changes.

[0033] This embodiment introduces the type of items stored in the refrigerator 12 and real-time temperature data. The intelligent cabin 11 can automatically adopt differentiated control strategies based on the physiological or chemical characteristics of different items, which can, to a certain extent, ensure the quality of refrigerated items and improve the user experience.

[0034] Please see Figure 4 and Figure 5 In some implementations, based on preset strategies and real-time operating data, generating corresponding refrigeration control commands for each refrigerator includes: 032: Receive administrator commands input in real time; 033: Generate corresponding refrigeration control commands for each refrigerator based on administrator instructions and real-time operating data.

[0035] Correspondingly, please refer to Figure 5 The intelligent cabin 11 also includes a human-machine interface 114 connected to the central processing unit 112, used to display real-time operating data and preset strategies for each refrigerator 12, and to receive administrator commands set by the administrator. The central processing unit 112 generates corresponding refrigeration control commands for each refrigerator 12 based on the administrator commands and real-time operating data.

[0036] In some embodiments, the intelligent cabin 11 may also include a human-machine interface 114 connected to the central processing unit 112. The human-machine interface 114 can provide corresponding menus for administrators or users to input administrator commands, such as the allocation of power resources, the storage of items in the refrigerators 12, and the power supply time for each refrigerator 12, allowing administrators to actively control the power supply of each refrigerator 12. In addition, the human-machine interface 114 may also include an output unit for displaying information to the administrator, such as displaying the real-time temperature curves, power consumption, and operating modes of all connected refrigerators 12.

[0037] It is important to note that administrator commands can modify the storage type of one or more refrigerator compartments 12, or adjust the cooling power of the refrigerator compartment 12. The central processing unit 112 recalculates and determines the new cooling control command by acquiring the modified data. Alternatively, administrator commands can also be manual cooling control commands, such as issuing direct operation commands to a specified refrigerator compartment 12, such as forcing maximum power cooling, pausing cooling, or immediately starting defrosting, to replace the calculations generated by the central processing unit 112.

[0038] Specifically, the administrator can view the overall status and related data through the human-machine interface 114, and can input specific administrator commands based on experience or temporary needs. The central processing unit 112 receives and parses these commands in real time. Understandably, the central processing unit 112 can also use valid administrator commands as the highest priority input or constraint, and integrate them with the original preset strategies and real-time operating data. Then, it recalculates and generates refrigeration control commands for one or more refrigerators 12.

[0039] In this way, administrators can adjust the overall or individual refrigerator boxes 12 according to the actual situation, and handle emergencies that the automated system could not foresee in certain scenarios, thus enhancing the robustness and reliability of the system. This also avoids over-reliance on fully automated system strategies to some extent, making it more practical for outdoor scenarios where unexpected situations may frequently occur. At the same time, the human-machine interface 114 integrates all the key information and management functions of the refrigerator boxes 12 into a single terminal, eliminating the need for administrators to switch between various independent devices, reducing the management complexity of multi-device collaborative work, and effectively improving user experience and operational efficiency.

[0040] Please see Figure 6 In some implementations, based on preset strategies and real-time operating data, generating corresponding refrigeration control commands for each refrigerator includes: 034: Obtain the cooling priority of each refrigerator unit, either preset or specified by the administrator; 035: Distribute power to each refrigerator based on refrigeration priority and real-time operating data, and generate corresponding refrigeration control commands.

[0041] Correspondingly, please refer to Figure 2 The intelligent cabin 11 obtains the cooling priority of each refrigerator 12 as preset or specified by the administrator, and allocates power to each refrigerator 12 according to the cooling priority and real-time operating data, and generates corresponding cooling control commands.

[0042] In some implementations, cooling priorities can be preset in the intelligent mothership 11. For example, when the item type of a certain refrigerator 12 is set to "vaccine" or "live sample," the system can automatically set it to the highest priority. Alternatively, cooling priorities can also be manually set by the administrator. The administrator can set the priority level of any refrigerator 12 through the human-machine interface 114. For example, the administrator can temporarily set a refrigerator 12 containing critical experimental materials to the highest priority and a refrigerator 12 containing ordinary supplies to a lower priority, based on the urgency of the task or the value of the items.

[0043] Specifically, the central processing unit 112 of the intelligent cabin 11 acquires and analyzes the cooling priorities of all currently connected refrigerated containers 12, and receives real-time operating data from all refrigerated containers 12. When power resources are insufficient to simultaneously meet the optimal operating needs of all refrigerated containers 12, the central processing unit 112 can prioritize the power supply to high-priority refrigerated containers 12, while limiting or cutting off the power supply to low-priority refrigerated containers 12, and generate cooling control commands for each refrigerated container 12 accordingly.

[0044] Thus, by prioritizing cooling, this embodiment enables the system to maximize the power supply to the high-priority refrigerator 12 even with limited resources, thereby improving the system's reliability and value.

[0045] Please see Figure 7 In some implementations, the control method further includes: 05: Monitor the power supply interface; 06: When a new refrigerator is detected, perform a pre-power-on and self-test on the new refrigerator and provide power.

[0046] Correspondingly, please refer to Figure 2 The intelligent cabin 11 also monitors the power supply interface 113. When a newly connected refrigerator 12 is detected, it performs pre-power-on and self-test on the newly connected refrigerator 12 and provides power.

[0047] In some implementations, the intelligent mothership 11 may monitor the power supply interface 113 by having its central processing unit 112 continuously and actively poll or listen to the connection status of each physical power supply interface 113. Those skilled in the art will understand that monitoring can be performed in various ways, including but not limited to detecting level changes or specific handshake signals on the interface communication pins, or determining whether a load is connected by monitoring the standby current changes of each independent power supply control circuit.

[0048] Specifically, the central processing unit 112 continuously runs a monitoring program in the background. When a user physically connects the docking interface of a refrigerator 12 to an idle power supply interface 113 of the intelligent cabin 11, the monitoring circuit immediately detects this and reports it to the central processing unit 112. Further, after establishing communication with the refrigerator 12, the central processing unit 112 performs pre-power-on and self-test, and provides power. In some implementations, the slave control unit of the refrigerator 12 can be instructed to perform a quick local self-test, such as checking whether the temperature sensor readings are within a reasonable range, whether the compressor circuit has no short circuits, etc., and report the self-test results. Simultaneously, the central processing unit 112 makes a judgment based on the handshake and self-test results. If the device is compatible and the self-test passes, the control power management circuit switches the refrigerator 12 to full-power power supply mode, putting it into standby or immediately starting controlled cooling. If the verification fails, the pre-power-on state is maintained or the power supply is cut off, and an alarm message is displayed on the human-machine interface 114 to guide the administrator in handling the situation.

[0049] In this way, users do not need to perform complex manual testing; they only need to complete the physical connection, and the system can automatically complete the entire process of identification, inspection, and going online. This simplifies the operation of temporarily adding refrigeration units in scenarios such as in the field or during transportation, making the adjustment of system scale more flexible and convenient. In addition, by performing pre-power-on and self-test, the risk of power module 111 being impacted due to the connection of faulty equipment, thereby affecting the operation of other refrigeration boxes 12, is effectively avoided, significantly improving the safety and reliability of the system.

[0050] Please see Figure 8 In some implementations, the control method further includes: 07: When a power outage or abnormality is detected, immediately shut down the power supply interface corresponding to the power outage or abnormality to cut off the power supply to the interface.

[0051] Correspondingly, please refer to Figure 2 When a power outage or abnormality is detected, the intelligent mother cabin 11 immediately shuts down the power supply interface 113 corresponding to the power outage or abnormality to cut off the power supply to the power supply interface 113.

[0052] In some implementations, a power outage or abnormality at the power supply interface 113 could be a link abnormality, such as intermittent or complete power disconnection due to loose connectors or damaged cables, or a load-side abnormality, such as a short circuit, overload, or severe leakage inside the refrigerator 12. It could also be an output abnormality of the smart cabin 11, such as overvoltage or undervoltage output caused by a fault in the power management circuit itself.

[0053] Specifically, when a power outage or anomaly is detected, the intelligent cabin 11 immediately sends a control signal to forcibly cut off the power output to the abnormal interface. In one example, the central processing unit 112 can have a built-in safety management algorithm that compares the real-time data with preset safety thresholds. When the data of a certain power supply interface 113 continuously or momentarily exceeds the threshold, it can be determined that a power abnormality has occurred on that line. The corresponding power supply interface 113 is immediately shut down to cut off the power supply to the interface 113. It can be understood that after the interface is cut off, the central processing unit 112 can mark the status of the refrigerator 12 in the system as "power failure" and issue an alarm through the human-machine interface 114 to inform the administrator which interface has experienced what kind of abnormality. At the same time, the system can also automatically adjust the resource allocation strategy to ensure the operation of the other normal refrigerators 12.

[0054] Thus, when an electrical fault occurs in a single refrigerator compartment 12, the system can immediately disconnect the abnormal interface without causing a power outage and paralysis of the entire system, improving the safety and reliability of the multi-compartment system. Furthermore, quickly disconnecting abnormal power can directly prevent secondary disasters such as component overheating and burnout, battery over-discharge, or even fires caused by overcurrent or short circuits. This significantly enhances reliability for equipment operating for extended periods in unattended or complex outdoor environments.

[0055] Please see Figure 9 In some implementations, the control method further includes: 08: Monitor the environmental status of the intelligent mothership cabin; Based on preset strategies and real-time operating data, corresponding refrigeration control commands are generated for each refrigerator, including: 036: Based on preset strategies, real-time operating data, and environmental conditions, generate corresponding refrigeration control commands for each refrigerator.

[0056] Correspondingly, please refer to Figure 2 The intelligent cabin 11 also monitors the environmental status of the intelligent cabin 11, and generates corresponding refrigeration control commands for each refrigerated container 12 based on preset strategies and real-time operating data and environmental status.

[0057] Specifically, the intelligent cabin 11 can also monitor its environmental status. This environmental status refers to the real-time parameters of the external physical environment in which the intelligent cabin 11 is located. These parameters may affect the cooling load, heat dissipation efficiency, and overall system energy consumption of the refrigerated container 12. The monitored environmental data includes, but is not limited to, ambient temperature, ambient humidity, light radiation intensity, altitude, and atmospheric pressure. The intelligent cabin 11 can continuously or periodically collect real-time environmental status data through its integrated environmental sensors.

[0058] Furthermore, the central processing unit 112 can integrate the collected environmental status data with the real-time operating data from each refrigerator 12, use preset strategies to assess the impact of the current environment on all refrigerators 12, and make a comprehensive evaluation and judgment based on the real-time operating data of the refrigerators 12. It can also predict the trend of changes in the future. For example, under a high-temperature environment strategy, the system will predict that the temperature of all cabinets will rise more rapidly, thereby increasing the basic cooling power of each refrigerator 12 or shortening the interval between cycles in advance to resist external heat intrusion and maintain temperature stability. Conversely, in a cool environment, an energy-saving strategy can be implemented.

[0059] Understandably, outdoor applications are subject to numerous unpredictable factors, such as temperature fluctuations and direct sunlight, which can impact refrigeration equipment. Therefore, by proactively sensing the external environment and adjusting strategies in advance, the system significantly improves performance stability and the reliability of item preservation in harsh or changing environments, such as outdoors and in vehicles. Furthermore, by sensing ambient temperature, the system can more accurately predict the cooling load, enabling it to implement more economical operating modes at the most energy-efficient times and allocate sufficient resources in advance when needed. Compared to adjusting solely based on internal temperature feedback, this results in higher energy efficiency and longer overall battery life, effectively enhancing the user experience and better meeting the application needs of outdoor and mobile scenarios.

[0060] Please see Figure 10 In some implementations, the control method further includes: 09: Real-time monitoring of the power status of the power module; Based on preset strategies and real-time operating data, corresponding refrigeration control commands are generated for each refrigerator, including: 037: When the remaining power of the power module is lower than the first threshold, adjust the cooling control command of at least one refrigerator to reduce the cooling power consumption of at least one refrigerator. 038: When the remaining power of the power module is lower than the second threshold, cut off the power to at least one refrigerator. The second threshold is lower than the first threshold.

[0061] Correspondingly, please refer to Figure 2 The intelligent cabin 11 also monitors the power status of the power module 111 in real time. When the remaining power of the power module 111 is lower than the first threshold, the central processing unit 112 adjusts the cooling control command of at least one refrigerator 12 to reduce the cooling power consumption of at least one refrigerator 12. When the remaining power of the power module is lower than the second threshold, the power supply of at least one refrigerator 12 is cut off. The second threshold is lower than the first threshold.

[0062] Specifically, the power status of the power module 111 includes, but is not limited to, battery health status, output voltage, and current. When the remaining power of the power module 111 is detected to be lower than a first threshold, the cooling control command of at least one refrigerator 12 is adjusted to reduce the cooling power consumption of at least one refrigerator 12. The first threshold is a preset remaining power threshold in the central processing unit 112, used to trigger energy-saving and protection strategies. For example, if the first threshold is set to 30%, when the power is lower than this value, it indicates that energy is in a state of strain, and the system needs to implement energy-saving measures, that is, adjust the cooling control command of at least one refrigerator 12.

[0063] In one example, the central processing unit 112 can uniformly reduce the cooling power of all connected and active refrigerator compartments 12 to ensure that all refrigerator compartments 12 can maintain operation at a certain power level, that is, to systematically reduce energy consumption while basically maintaining the functions of all compartments. In another example, the central processing unit 112 can also recalculate control commands for medium and low priority compartments 12 according to their preset priorities. For example, the operating duty cycle of the compressor can be generally reduced, or its downtime can be extended, thereby reducing its cooling power consumption. The control commands for high priority compartments may only be fine-tuned or remain unchanged.

[0064] Furthermore, when the remaining power of the power module is lower than a second threshold, the power supply to at least one refrigerator 12 is cut off. The second threshold is lower than the first threshold. Similar to the first threshold, the second threshold is another remaining power threshold preset in the central processing unit 112, used to trigger a higher level of energy-saving and protection strategies. The second threshold ensures the safety of the highest priority load, allowing core functions a final operating time and preparing for an orderly shutdown. The intelligent cabin 11 can directly cut off the power supply to one or more lowest priority refrigerators 12 via the power management circuit. Simultaneously, for the remaining refrigerators 12, especially the high-priority refrigerators 12, their operating mode is adjusted to an extreme energy-saving state. It is understood that the second threshold can also be set to any threshold lower than the first threshold that meets the current application scenario. Based on this embodiment, more thresholds can also be set to protect multiple refrigerators 12, achieving a more precise protection strategy.

[0065] Thus, through multi-level energy-saving and protection measures, the system can more intelligently allocate power resources according to the power level, prioritizing the highest priority refrigerated container 12. In addition, it also avoids disorderly system crashes to a certain extent, improving the reliability and management standardization of system behavior in energy-constrained scenarios.

[0066] In summary, the control method and refrigerated container system 10 of the multiple refrigerated containers 12 described in this application effectively solve the problems of bulky equipment and high cost caused by traditional multi-independent refrigerated container systems 10 by integrating the core power supply and control system into the intelligent cabin 11, allowing the refrigerated containers 12 to retain only the necessary refrigeration and sensing functions. Simultaneously, the intelligent cabin 11 can centrally monitor the real-time operating status of each refrigerated container 12 and generate independent control commands for each container based on preset strategies, achieving precise refrigeration and significantly improving the management chaos in multi-device collaborative operation, thus realizing centralized energy and management. In this way, users only need to configure one intelligent cabin 11 to flexibly expand multiple refrigerated containers 12, greatly reducing the total system cost, weight, and maintenance complexity.

[0067] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0068] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this application pertain.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus or device (such as a computer-based system, a processor-included system or other system that can fetch and execute instructions from, an instruction execution system, apparatus or device).

[0070] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0071] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments. Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc.

[0072] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A method of controlling a plurality of refrigerated containers, characterized by, A plurality of said refrigeration boxes are connected to the intelligent mother cabin through independent power supply interfaces, and the intelligent mother cabin is provided with a power module for centralized power supply of the plurality of said refrigeration boxes, and the control method is executed by the intelligent mother cabin, comprising: controlling the power module to independently provide power supply for each said refrigeration box in real time; receiving real-time operation data of each said refrigeration box; based on the preset strategy and the real-time operation data, generating corresponding refrigeration control instructions for each said refrigeration box; sending each said refrigeration control instruction to the corresponding said refrigeration box respectively, so that the refrigeration box performs refrigeration according to the refrigeration control instruction.

2. The control method according to claim 1, characterized by, The said based on the preset strategy and the real-time operation data, generating corresponding refrigeration control instructions for each said refrigeration box includes: According to the type of the stored goods in each said refrigeration box and the real-time temperature data, the refrigeration control parameters of each said refrigeration box are calculated to generate the refrigeration control instructions.

3. The control method according to claim 1, characterized by, The said based on the preset strategy and the real-time operation data, generating corresponding refrigeration control instructions for each said refrigeration box includes: receiving the administrator instruction input by the administrator in real time; According to the administrator instruction and the real-time operation data, generating corresponding refrigeration control instructions for each said refrigeration box.

4. The control method according to claim 1, characterized by, The said based on the preset strategy and the real-time operation data, generating corresponding refrigeration control instructions for each said refrigeration box includes: obtaining the refrigeration priority of each said refrigeration box preset or specified by the administrator; According to the refrigeration priority and the real-time operation data, power distribution is performed for each said refrigeration box, and the corresponding said refrigeration control instruction is generated.

5. The control method according to claim 1, characterized by, The control method further comprises: monitoring the power supply interface; when a newly connected refrigeration box is monitored, pre-power-on and self-checking are performed on the newly connected refrigeration box, and power supply is provided.

6. The control method according to claim 5, characterized by The control method further comprises: When it is monitored that the power supply is cut off or abnormal, the power supply interface corresponding to the power supply cut off or abnormal is immediately closed to cut off the power supply of the power supply interface.

7. The control method according to any one of claims 1 to 6, characterized by, The control method further comprises: monitoring the environmental state of the intelligent mother cabin; The said based on the preset strategy and the real-time operation data, generating corresponding refrigeration control instructions for each said refrigeration box includes: based on the preset strategy, the real-time operation data and the environmental state, generating corresponding refrigeration control instructions for each said refrigeration box.

8. The control method according to any one of claims 1 to 6, characterized by, The control method further comprises: real-time monitoring of the power supply state of the power module; The said based on the preset strategy and the real-time operation data, generating corresponding refrigeration control instructions for each said refrigeration box includes: When the remaining power of the power module is lower than a first threshold, the refrigeration control instruction of at least one refrigeration box is adjusted to reduce the refrigeration power consumption of the at least one refrigeration box; When the remaining power of the power module is lower than a second threshold, the power supply of at least one refrigeration box is cut off, and the second threshold is lower than the first threshold.

9. A refrigerated box system characterized by, It comprises: an intelligent mother cabin, the intelligent mother cabin comprises a central processor, a power module and a plurality of power supply interfaces, and the power supply loop of each said power supply interface is independently controlled by the central processor; At least one refrigeration box, each of the refrigeration boxes is physically and electrically connected with any of the power supply interfaces of the intelligent mother cabin through a docking interface, wherein the power supply interface and the docking interface each include a mechanical connection part and an electrical connection part; The refrigeration box includes a slave control unit and a refrigeration module placed in the box, the slave control unit is electrically connected with the refrigeration module, and is used for driving the refrigeration module; The central processor is configured to perform the control method according to any one of claims 1 to 8.

10. The cold box system of claim 9, wherein, The intelligent mother cabin further includes a human-computer interaction interface connected with the central processor, used for displaying real-time running data, preset strategies of each refrigeration box and receiving administrator instructions set by an administrator.

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