A medical cold chain transfer cabinet precision temperature control and shock protection method and system

Abstract

This invention provides a method and system for precise temperature control and vibration damping protection of medical cold chain transport cabinets. It collects multi-dimensional operating parameters, environmental parameters, and transported item attribute parameters of the transport cabinet, aligns them with timestamps, and pushes them to a multi-physics field coupled digital twin virtual model to achieve real-time mapping of temperature, vibration, and airflow fields. Based on historical safety data and item attributes, it generates adaptive zoned temperature control strategies and active magnetorheological vibration damping strategies, establishing a collaborative linkage mechanism between the temperature control and vibration damping systems. It calculates an integrated risk index of the transport status relative to historical safety benchmarks in real time. When the index exceeds a threshold or key parameters continuously exceed limits, it generates graded early warning signals and adjusts the control strategy accordingly. This solution achieves precise temperature control and active vibration damping collaborative protection, effectively reducing the quality risks of medical item transport.

Description

Technical Field

[0001] This invention relates to the field of medical cold chain transportation technology, and in particular to a method and system for precise temperature control and shock absorption protection of medical cold chain transfer cabinets. Background Technology

[0002] Medical cold chain transportation is a key link in ensuring the quality and safety of temperature-sensitive medical supplies such as vaccines, blood products, and biological samples. These supplies have extremely strict requirements for temperature stability and vibration intensity during transportation. Temperature fluctuations exceeding the allowable range or severe vibrations may cause medical supplies to fail or even lead to serious medical safety accidents.

[0003] Currently, medical cold chain transport cabinets mainly suffer from the following three problems: First, temperature control systems mostly use fixed threshold switching control, resulting in slow response times and an inability to adapt to temperature fluctuations caused by door opening, changes in ambient temperature, etc. Furthermore, they typically employ a general temperature control mode, which fails to meet the differentiated temperature control needs of various medical supplies, easily leading to uneven localized temperatures. Second, shock absorption systems are mostly passive springs or rubber dampers, unable to adjust their effectiveness according to road conditions and the fragility of the items. They lack sufficient ability to suppress severe vibrations under complex road conditions, and the shock absorption system is independent of the temperature control system, lacking a coordinated linkage mechanism. Severe vibrations may cause refrigeration pipe leaks, compressor damage, and other malfunctions, leading to temperature control failure. Third, existing monitoring systems mostly only record temperature and location information, failing to comprehensively assess the overall risks during transport, resulting in delayed early warnings and a lack of targeted response measures. Therefore, how to achieve precise temperature control and active shock absorption in synergistic protection during medical cold chain transport, and comprehensively reduce the quality risks of medical supply transport, has become a pressing problem for the industry. Summary of the Invention

[0004] Based on this, the present invention provides a method and system for precise temperature control and shock absorption protection of a medical cold chain transfer cabinet that can achieve precise temperature control and active shock absorption protection.

[0005] In a first aspect, the present invention provides a method for precise temperature control and shock absorption protection of a medical cold chain transfer cabinet, comprising the following steps: Collect multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items for the medical cold chain transport cabinet; All parameters are timestamped and then pushed to the multi-physics coupled digital twin virtual model corresponding to the transfer cabinet to realize the real-time mapping and visualization of the temperature field, vibration field and airflow field inside the transfer cabinet in the virtual space. Based on the historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the current transported goods, an adaptive zoned temperature control strategy and an active magnetorheological vibration reduction strategy are generated, and a collaborative linkage mechanism between the temperature control system and the vibration reduction system is established. Real-time monitoring of multi-dimensional operating parameters of the transfer cabinet and corresponding safety upper and lower limits; calculation of the integrated risk index of the current transfer status relative to the historical safety benchmark. When the integrated risk index exceeds the preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period, a graded early warning signal is generated and the adaptive zone temperature control strategy and active magnetorheological damping strategy are adjusted in conjunction.

[0006] In some embodiments, collecting multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items for the medical cold chain transport cabinet specifically includes: Internal temperature and humidity parameters are collected by temperature and humidity sensors placed in each section of the transfer cabinet. Vibration parameters are collected by vibration acceleration sensors placed at the bottom, side walls, and refrigeration pipes of the cabinet. The door opening / closing status and opening duration parameters are collected using a door magnetic sensor; The GPS module and road condition sensors collect geographical location and road bump level parameters. By reading the RFID tags on the transported goods using an RFID reader, the cold chain level, vulnerability level, and production batch identification parameters of the goods can be obtained.

[0007] In some embodiments, timestamp alignment of all parameters specifically includes: Retrieve the structured data packets with local timestamps corresponding to all parameters; The local timestamps in all structured data packets are aligned using a precision clock synchronization protocol to obtain all parameters after timestamp alignment.

[0008] In some embodiments, all timestamp-aligned parameters are pushed to the multiphysics coupled digital twin virtual model corresponding to the transfer cabinet to achieve real-time mapping and visualization of the internal temperature field, vibration field, and airflow field of the transfer cabinet in the virtual space. Specifically, this includes: All timestamp-aligned parameters are sent to the data access layer of the multiphysics coupled digital twin virtual model via industrial communication protocols; Based on the type and location identifier of the parameters, update the state attributes of the corresponding virtual entities in the digital twin virtual model, including the temperature and humidity attributes of each zone, the vibration attributes of each part of the cabinet, and the operation attributes of the refrigeration system. The multiphysics simulation engine that drives the digital twin virtual model solves the distribution of temperature field, vibration field and airflow field in real time, and renders and displays the three-dimensional virtual mapping and multiphysics distribution cloud map of the transfer cabinet.

[0009] In some embodiments, generating an adaptive zoned temperature control strategy based on historical safe operation data associated with a digital twin virtual model and cold chain attribute parameters of the currently transported goods specifically includes: Based on the cold chain level of the transported goods, set the initial target temperature and allowable temperature fluctuation range for different sections of the transport container; Based on the airflow field simulation results of the digital twin virtual model, the fan speed and air delivery angle of each zone are optimized to achieve uniform temperature distribution in each zone. When the cabinet door is detected to be open, the system predicts the opening duration and temperature rise rate based on historical door opening data, and adjusts the operating power and fan speed of the refrigeration unit in advance to generate a predictive temperature control compensation strategy for door opening disturbance.

[0010] In some embodiments, generating an active magnetorheological damping strategy based on historical safe operation data associated with a digital twin virtual model and the vulnerability level parameters of the currently transported goods specifically includes: Based on the fragility level of the transported items, set the maximum permissible vibration acceleration threshold and the cumulative vibration damage threshold for the cabinet. Based on the road bump level collected by road condition sensors and historical damping data, the target damping coefficient required for the magnetorheological damper is calculated in real time. The corresponding control current is output to the magnetorheological damper to adjust the damping and achieve adaptive damping for different road conditions.

[0011] In some embodiments, establishing a coordinated linkage mechanism between the temperature control system and the vibration reduction system specifically includes: The vibration stress state of the refrigeration pipeline is monitored in real time. When the vibration stress exceeds the preset stress threshold, the damping coefficient of the magnetorheological damper is increased to reduce the vibration amplitude of the refrigeration pipeline. When a severe vibration is detected that may cause a decrease in the performance of the refrigeration system, the operating power of the refrigeration unit is increased in advance to compensate for possible temperature fluctuations. When the temperature control system malfunctions and causes rapid temperature changes, the vibration damping strategy should be adjusted to avoid the combined effect of temperature changes and severe vibrations exacerbating the quality risks of medical supplies.

[0012] In some embodiments, calculating the integrated risk index of the current transit status relative to a historical safety benchmark specifically includes: Calculate the temperature deviation index, vibration cumulative damage index, and door opening risk index respectively; Based on the degree of influence of each index on the quality of medical supplies, corresponding weighting coefficients are set. The integrated risk index of the current transportation status is calculated by weighted summation. The integrated risk index comprehensively reflects the combined impact of temperature fluctuations, severe vibrations, and door opening disturbances on the quality of medical supplies.

[0013] In some embodiments, when the integrated risk index exceeds a preset risk threshold or any key parameter exceeds the corresponding upper or lower safety limit within a continuous sampling period, generating a graded early warning signal and adjusting the adaptive zoned temperature control strategy and the active magnetorheological damping strategy in conjunction specifically includes: Based on the magnitude of the integrated risk index, the early warning is divided into Level 1, Level 2, and Level 3. When different levels of alerts are triggered, a graded alert signal is generated, which includes the alert level, abnormal parameters, abnormal location, and item batch identifier. The graded early warning signals are sent to the designated early warning receivers and digital twin virtual models, and the temperature control and vibration reduction strategies are adjusted in conjunction with the early warning level to reduce the risk of transportation.

[0014] In some embodiments, the key parameters include the temperature value of each zone, the vibration acceleration value of the cabinet, the vibration stress value of the refrigeration pipes, and the door opening time.

[0015] Secondly, the present invention provides a precise temperature control and shock absorption protection system for a medical cold chain transfer cabinet, comprising: The data acquisition module is used to collect multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items from the medical cold chain transport cabinet. The processing module is used to align all parameters with timestamps, and then push all the timestamp-aligned parameters to the multi-physics coupled digital twin virtual model corresponding to the transfer cabinet, so as to realize the real-time mapping and visualization of the temperature field, vibration field and airflow field inside the transfer cabinet in the virtual space. The processing module is also used to generate an adaptive zoned temperature control strategy and an active magnetorheological damping strategy based on the historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the current transported goods, and to establish a collaborative linkage mechanism between the temperature control system and the damping system. The processing module is also used to monitor the multi-dimensional operating parameters of the transfer cabinet and the corresponding safety upper and lower limits in real time, and to calculate the integrated risk index of the current transfer status relative to the historical safety benchmark. The execution module is used to generate a graded early warning signal and adjust the adaptive zone temperature control strategy and the active magnetorheological damping strategy in conjunction when the integrated risk index exceeds the preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period.

[0016] Compared with the prior art, the present invention has the following advantages: The present invention provides a method and system for precise temperature control and vibration reduction protection of a medical cold chain transport cabinet. First, it collects multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items from the medical cold chain transport cabinet. All parameters are then timestamped and aligned. The timestamped parameters are then pushed to the corresponding multi-physics field coupled digital twin virtual model of the transport cabinet. This enables real-time mapping and visualization of the internal temperature field, vibration field, and airflow field of the transport cabinet in virtual space. This step achieves standardized acquisition of multi-source heterogeneous data, high-precision time synchronization, and real-time push to the multi-physics field digital twin model, thereby establishing a precise and real-time digital image of the physical transport cabinet. This provides a comprehensive and accurate data foundation and simulation support for subsequent precise control and risk assessment. Second, based on the historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the current transported items, an adaptive zoned temperature control strategy and active magnetorheological... The vibration reduction strategy dynamically adjusts control parameters based on the properties of the items and environmental changes, meeting the differentiated protection needs of various medical items and effectively improving temperature control accuracy and vibration reduction effect, overcoming the drawbacks of traditional fixed threshold control and passive vibration reduction. Then, a collaborative linkage mechanism between the temperature control system and the vibration reduction system is established, solving the problem of traditional independent systems and avoiding chain reactions caused by single system failures, thus improving the overall reliability of the transport system. Finally, an integrated risk index is calculated relative to historical safety benchmarks for the current transport status. When the integrated risk index exceeds a preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period, a graded early warning signal is generated, and the adaptive zoned temperature control strategy and active magnetorheological vibration reduction strategy are adjusted accordingly. This step comprehensively assesses the overall risks during transport, enabling early warning and targeted handling, effectively reducing the quality risks of medical items. In summary, the solution of this invention can achieve precise temperature control and active vibration reduction collaborative protection during medical cold chain transport, comprehensively ensuring the quality and safety of medical item transport. Attached Figure Description

[0017] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is an exemplary flowchart of a precise temperature control and shock absorption protection method for medical cold chain transfer cabinets according to some embodiments of the present invention; Figure 2 This is a schematic diagram illustrating an application scenario of a precise temperature control and shock absorption protection system for a medical cold chain transport cabinet, as shown in some embodiments of the present invention. Figure 3 This is a schematic diagram of the process for calculating the integrated risk index according to some embodiments of the present invention; Figure 4This is a structural schematic diagram of a precise temperature control and shock absorption protection system for a medical cold chain transfer cabinet, as shown in some embodiments of the present invention. Figure 5 This is a schematic diagram of the structure of a computer device for implementing a precise temperature control and shock absorption protection method for medical cold chain transfer cabinets, as shown in some embodiments of the present invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0019] The present invention will be further described in detail below with reference to the accompanying drawings.

[0020] refer to Figure 1 The figure is an exemplary flowchart of a precise temperature control and shock absorption protection method for a medical cold chain transport cabinet according to some embodiments of the present invention. The precise temperature control and shock absorption protection method for a medical cold chain transport cabinet mainly includes the following steps: In step 101, multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items are collected from the medical cold chain transport cabinet.

[0021] In practical implementation, the collection of multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items for the medical cold chain transport cabinet can be achieved in the following way: First, multiple high-precision platinum resistance temperature sensors and capacitive humidity sensors are arranged in the refrigerated, frozen, and ambient temperature zones of the medical cold chain transport cabinet, respectively. The sensors in each zone are evenly distributed in a grid pattern to obtain temperature and humidity data at different locations within the zone; triaxial vibration acceleration sensors are installed at the four corners of the bottom of the transport cabinet, the middle of the side wall, and the key connection points of the refrigeration compressor and refrigeration pipes to collect vibration data of the entire cabinet and key components; a door magnetic sensor is installed on each door of the transport cabinet to detect the opening and closing status of the door. The system records the door opening time; a GPS module and a MEMS road condition sensor are installed on the top of the transfer cabinet. The GPS module is used to obtain the real-time geographical location information of the transfer vehicle, and the MEMS road condition sensor is used to detect the bumpiness of the road surface and output the road bumpiness level; an UHF RFID reader is installed at the entrance of the transfer cabinet to read the RFID tags affixed to the transfer items and obtain attribute information such as the item's name, cold chain level, fragility level, production batch identifier, and expiration date; finally, all collected parameters are encapsulated into structured data packets with the original collection location identifier and local timestamp, awaiting subsequent transmission and processing. Other methods can also be used in other embodiments, which are not limited here.

[0022] It should be noted that the cold chain grade in this invention refers to the grade classified according to the sensitivity of medical items to temperature, which usually includes 2℃-8℃ refrigeration grade, -20℃ freezing grade, -80℃ cryogenic grade, etc.; the fragility grade refers to the grade classified according to the tolerance of medical items to vibration, which usually includes Level 1 fragility, Level 2 fragility, Level 3 fragility, etc. The higher the grade, the more sensitive the item is to vibration.

[0023] In some embodiments, reference Figure 2 As shown in the figure, this diagram illustrates an application scenario of the precise temperature control and shock absorption protection system for medical cold chain transport cabinets, as illustrated in some embodiments of the present invention. The diagram includes three main components: a transport cabinet terminal, a cloud server, and a monitoring terminal. The transport cabinet terminal is responsible for collecting various parameters and executing temperature control and shock absorption commands. It sends the collected parameters to the cloud server via a 5G communication network. The precise temperature control and shock absorption protection system for medical cold chain transport cabinets runs on the cloud server. The cloud server sends the processing results and control commands back to the transport cabinet terminal and pushes monitoring data and early warning information to the monitoring terminal.

[0024] In step 102, all parameters are timestamped and then all timestamped parameters are pushed to the multi-physics coupled digital twin virtual model corresponding to the transfer cabinet to realize the real-time mapping and visualization of the temperature field, vibration field and airflow field inside the transfer cabinet in the virtual space.

[0025] In some embodiments, timestamp alignment of all parameters can be achieved by the following steps: Retrieve the structured data packets with local timestamps corresponding to all parameters; The local timestamps in all structured data packets are aligned using a precision clock synchronization protocol to obtain all parameters after timestamp alignment.

[0026] In specific implementation, obtaining the structured data packets with local timestamps corresponding to all parameters can be achieved in the following way: deploy a data aggregation service, which continuously receives structured data packets from various sensors, RFID readers, GPS modules, and road condition sensors through a local bus interface; wherein each structured data packet contains a location identifier of the data source, a local timestamp generated by the local clock of the data acquisition terminal, and specific parameter values; the data aggregation service temporarily caches and queues the structured data packets from different acquisition terminals and different time points, waiting for unified time base processing. Other methods can also be used in other embodiments, which are not limited here.

[0027] In specific implementation, the local timestamps in all structured data packets are aligned based on a precision clock synchronization protocol. The resulting timestamp-aligned parameters can be achieved as follows: the data aggregation service's transfer cabinet controller and all acquisition devices are connected to a local network synchronized based on the IEEE 1588 precision clock protocol, thus possessing a unified high-precision clock source. The data aggregation service converts the local timestamp of each cached structured data packet into an absolute timestamp based on the unified high-precision clock source. Then, the data aggregation service sets a fixed time alignment period, using this period as a time window, and aggregates all structured data packets that have undergone timestamp conversion arriving at all acquisition terminals within this window. For cases where a single acquisition terminal may have multiple data packets within the window, the data packet with the timestamp closest to the window's center is selected as the representative. For acquisition terminals with missing data within the window, valid data from the previous time window is used for interpolation filling. Finally, a set containing the latest parameters of all acquisition terminals at the same alignment time point is generated. This set represents all timestamp-aligned parameters. Other methods can also be used in other embodiments, and are not limited here.

[0028] In some embodiments, pushing all timestamp-aligned parameters to the multiphysics coupled digital twin virtual model corresponding to the transfer cabinet to achieve real-time mapping and visualization of the internal temperature field, vibration field, and airflow field of the transfer cabinet in virtual space can be achieved through the following steps: All timestamp-aligned parameters are sent to the data access layer of the multiphysics coupled digital twin virtual model via industrial communication protocols; Based on the type and location identifier of the parameters, update the state attributes of the corresponding virtual entities in the digital twin virtual model, including the temperature and humidity attributes of each zone, the vibration attributes of each part of the cabinet, and the operation attributes of the refrigeration system. The multiphysics simulation engine that drives the digital twin virtual model solves the distribution of temperature field, vibration field and airflow field in real time, and renders and displays the three-dimensional virtual mapping and multiphysics distribution cloud map of the transfer cabinet.

[0029] It should be noted that the multiphysics coupled digital twin virtual model in this invention refers to a high-fidelity model constructed in virtual space that corresponds one-to-one with the elements of the physical transfer cabinet and maintains real-time data connection. It integrates computational fluid dynamics, structural dynamics and heat transfer simulation algorithms, and can simultaneously solve the distribution of temperature field, vibration field and airflow field inside the transfer cabinet, realizing multiphysics coupled simulation and real-time visualization.

[0030] In specific implementation, sending all timestamp-aligned parameters to the data access layer of the multi-physics coupled digital twin virtual model via industrial communication protocols can be achieved in the following way: The data aggregation service encapsulates all timestamp-aligned parameters into a new data packet according to a predefined data format, serving as a synchronization data frame. This synchronization data frame includes not only the aligned timestamp and various parameter values, but also a frame sequence number to ensure transmission order. Subsequently, the data aggregation service publishes the synchronization data frame to a specific topic on the cloud server via the MQTT protocol. The data access layer of the multi-physics coupled digital twin virtual model, as a subscriber to this topic, listens to the network and receives the synchronization data frame in real time, completing the data transmission from the physical transfer cabinet to the virtual model. Simultaneously, the synchronization data frame is written in parallel to the industrial time-series database associated with the digital twin virtual model, achieving persistent storage of historical data. Other methods can also be used in other embodiments, which are not limited here.

[0031] In specific implementation, updating the state attributes of the corresponding virtual entities in the digital twin virtual model according to the parameter type and location identifier can be achieved in the following way: After receiving the synchronization data frame, the data access layer of the digital twin virtual model parses the synchronization data frame and extracts the alignment timestamp, as well as each location identifier and its corresponding parameter value; the simulation kernel of the digital twin virtual model locates the corresponding virtual entity in the virtual scene according to the location identifier; the simulation kernel assigns the parsed parameter values ​​to the predefined state attribute variables in the virtual entity. For example, the temperature value of the refrigeration compartment is assigned to the current temperature attribute of the virtual refrigeration compartment entity, the vibration acceleration value of the bottom of the cabinet is assigned to the current vibration acceleration attribute of the virtual bottom of the cabinet entity, and the operating power of the refrigeration compressor is assigned to the current power attribute of the virtual compressor entity. This update process is event-driven, ensuring that the state attributes of all relevant virtual entities can be refreshed in real time each time a new synchronization data frame is received. Other methods can also be used in other embodiments, which are not limited here.

[0032] In specific implementation, the multiphysics simulation engine driving the digital twin virtual model can solve the distribution of temperature field, vibration field, and airflow field in real time, and render and display the three-dimensional virtual mapping and multiphysics distribution cloud map of the transfer cabinet. This can be achieved in the following way: the multiphysics simulation engine of the digital twin virtual model continuously monitors the state attributes of each virtual entity; when the state attributes are updated, the simulation engine uses the updated state attributes as boundary conditions, and calls the heat transfer module to solve the temperature field distribution, the computational fluid dynamics module to solve the airflow field distribution, and the structural dynamics module to solve the vibration field distribution, and realizes the coupling calculation between the three physical fields; subsequently, the visualization engine drives the rendering and display of the overall appearance and internal structure of the transfer cabinet in the three-dimensional virtual scene based on the multiphysics simulation results, and intuitively displays the temperature distribution, airflow direction and speed, and vibration amplitude of each part of the cabinet through cloud maps of different colors; at the same time, the real-time values ​​and historical change curves of key parameters are dynamically refreshed and displayed on the monitoring panel of the virtual scene, thereby realizing a comprehensive and intuitive visualization of the physical transfer cabinet's operating status. Other methods can also be used in other embodiments, which are not limited here.

[0033] It should be noted that the above steps can achieve standardized acquisition of multi-source heterogeneous data, high-precision time synchronization, and real-time push to multi-physics digital twin models, thereby establishing a precise and real-time digital image of the physical transfer cabinet, providing a comprehensive and accurate data foundation and simulation support for subsequent precise control and risk assessment.

[0034] In step 103, based on the historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the current transported goods, an adaptive zoned temperature control strategy and an active magnetorheological damping strategy are generated, and a collaborative linkage mechanism between the temperature control system and the damping system is established.

[0035] In some embodiments, generating an adaptive zoned temperature control strategy based on historical safe operation data associated with a digital twin virtual model and cold chain attribute parameters of the currently transported goods specifically includes: Based on the cold chain level of the transported goods, set the initial target temperature and allowable temperature fluctuation range for different sections of the transport container; Based on the airflow field simulation results of the digital twin virtual model, the fan speed and air delivery angle of each zone are optimized to achieve uniform temperature distribution in each zone. When the cabinet door is detected to be open, the system predicts the opening duration and temperature rise rate based on historical door opening data, and adjusts the operating power and fan speed of the refrigeration unit in advance to generate a predictive temperature control compensation strategy for door opening disturbance.

[0036] In practice, setting initial target temperatures and permissible temperature fluctuation ranges for different zones of the transfer cabinet based on the cold chain level of the transferred goods can be achieved in the following way: First, extract the cold chain level of all items in each zone from the attribute information of the transferred goods read by the RFID reader; then, set an initial target temperature for each zone according to the preset correspondence between cold chain level and temperature. For example, for a zone storing refrigerated goods at 2℃-8℃, set the initial target temperature to 5℃; for a zone storing frozen goods at -20℃, set the initial target temperature to -20℃; at the same time, set the corresponding permissible temperature fluctuation range according to the temperature sensitivity of the goods. The higher the temperature sensitivity, the smaller the permissible temperature fluctuation range. Other methods can also be used in other embodiments, which are not limited here.

[0037] In specific implementation, based on the airflow field simulation results of the digital twin virtual model, the optimization of the fan speed and air delivery angle of each zone can be achieved in the following way: The multiphysics simulation engine of the digital twin virtual model simulates and calculates the airflow field distribution and temperature field distribution inside each zone according to the current operating power of the chiller unit, fan speed, and air delivery angle; then, with the temperature uniformity of each zone as the optimization objective, a genetic algorithm is used to optimize and solve the fan speed and air delivery angle of each zone to obtain the optimal combination of fan speed and air delivery angle; finally, the optimized control parameters are sent to the temperature control execution unit of the transfer cabinet to adjust the fan speed and air delivery angle of each zone, thereby achieving a uniform temperature distribution in the zones and effectively avoiding the problem of excessively high or low local temperatures. Other methods can also be used in other embodiments, which are not limited here.

[0038] In specific implementation, when the cabinet door is detected to be open, the predictive temperature control compensation strategy for door opening disturbance can be generated based on historical door opening data to predict the opening duration and temperature rise rate. This can be achieved in the following way: When the door magnetic sensor detects that the cabinet door is open, the historical door opening data of the transfer cabinet under similar ambient temperatures and similar door opening scenarios is immediately extracted from the historical database associated with the digital twin virtual model. Then, the historical door opening data is analyzed using a long short-term memory network algorithm to predict the opening duration and temperature rise rate within the partition. Next, based on the predicted temperature rise rate, the required increase in cooling power and fan speed is calculated. Finally, while the cabinet door is opening, the operating power and fan speed of the refrigeration unit are increased in advance to generate the predictive temperature control compensation strategy for door opening disturbance, thereby effectively suppressing the temperature rise caused by door opening. Other methods can also be used in other embodiments, which are not limited here.

[0039] In some embodiments, generating an active magnetorheological damping strategy based on historical safe operation data associated with a digital twin virtual model and the vulnerability level parameters of the currently transported goods specifically includes: Based on the fragility level of the transported items, set the maximum permissible vibration acceleration threshold and the cumulative vibration damage threshold for the cabinet. Based on the road bump level collected by road condition sensors and historical damping data, the target damping coefficient required for the magnetorheological damper is calculated in real time. The corresponding control current is output to the magnetorheological damper to adjust the damping and achieve adaptive damping for different road conditions.

[0040] In specific implementation, the maximum allowable vibration acceleration threshold and vibration cumulative damage threshold of the cabinet can be set according to the vulnerability level of the transported items. This can be achieved in the following way: First, extract the vulnerability level of all items in each partition from the attribute information of the transported items read from the RFID reader; then, according to the preset correspondence between vulnerability level and vibration threshold, set the overall maximum vibration acceleration threshold and vibration cumulative damage threshold for the transport cabinet. The higher the vulnerability level of the item, the lower the corresponding vibration threshold. Other methods can also be used in other embodiments, which are not limited here.

[0041] In specific implementation, the target damping coefficient required by the magnetorheological damper can be calculated in real time based on the road bump level collected by road condition sensors and historical vibration reduction data. This can be achieved in the following way: the road condition sensor detects the bump level of the road surface in real time and outputs the road bump level, which is divided into four levels: Level 1 (smooth), Level 2 (slight bump), Level 3 (moderate bump), and Level 4 (severe bump). Then, the historical vibration reduction data of the transfer cabinet under different road bump levels is extracted from the historical database associated with the digital twin virtual model, including the cabinet vibration acceleration value corresponding to different damping coefficients. Next, a fuzzy control algorithm is used to calculate the target damping coefficient required by the magnetorheological damper in real time according to the current road bump level and the set maximum vibration acceleration threshold. The higher the road bump level, the larger the target damping coefficient. Other methods can also be used in other embodiments, which are not limited here.

[0042] In specific implementation, the corresponding control current is output to the magnetorheological damper to adjust the damping and achieve adaptive damping for different road conditions. This can be achieved in the following way: based on the correspondence between the damping coefficient of the magnetorheological damper and the control current, the calculated target damping coefficient is converted into the corresponding control current value; then, the control current value is sent to the drive controller of the magnetorheological damper, and the drive controller outputs the corresponding current to the excitation coil of the magnetorheological damper to change the viscosity of the magnetorheological fluid, thereby adjusting the damping coefficient of the damper and achieving adaptive damping for different road conditions, effectively reducing the vibration amplitude of the cabinet. Other methods can also be used in other embodiments, which are not limited here.

[0043] In some embodiments, establishing a coordinated linkage mechanism between the temperature control system and the vibration reduction system specifically includes: The vibration stress state of the refrigeration pipeline is monitored in real time. When the vibration stress exceeds the preset stress threshold, the damping coefficient of the magnetorheological damper is increased to reduce the vibration amplitude of the refrigeration pipeline. When a severe vibration is detected that may cause a decrease in the performance of the refrigeration system, the operating power of the refrigeration unit is increased in advance to compensate for possible temperature fluctuations. When the temperature control system malfunctions and causes rapid temperature changes, the vibration damping strategy should be adjusted to avoid the combined effect of temperature changes and severe vibrations exacerbating the quality risks of medical supplies.

[0044] In practice, the vibration stress state of the refrigeration pipeline is monitored in real time. When the vibration stress exceeds a preset stress threshold, the damping coefficient of the magnetorheological damper is increased to reduce the vibration amplitude of the refrigeration pipeline. This can be achieved by: collecting vibration data of the refrigeration pipeline in real time through vibration acceleration sensors installed at key connection points of the refrigeration pipeline; then, calculating the vibration stress of the refrigeration pipeline based on the collected vibration data; and immediately sending a command to the drive controller of the magnetorheological damper when the vibration stress exceeds the preset stress threshold to increase the damping coefficient of the magnetorheological damper, thereby reducing the overall vibration amplitude of the cabinet, reducing the vibration stress of the refrigeration pipeline, and preventing leakage due to fatigue damage of the refrigeration pipeline. Other methods can also be used in other embodiments, which are not limited here.

[0045] In specific implementation, when a severe vibration is detected that may cause a decrease in the performance of the refrigeration system, the operating power of the refrigeration unit can be increased in advance to compensate for possible temperature fluctuations. This can be achieved in the following way: when the vibration acceleration of the cabinet exceeds the preset severe vibration threshold, it is determined that the severe vibration may cause a decrease in the working efficiency of the refrigeration compressor, which in turn causes the internal temperature of the transfer cabinet to rise. At this time, an instruction is immediately sent to the temperature control execution unit to increase the operating power of the refrigeration unit in advance, increase the cooling capacity, and compensate for the temperature fluctuations that may be caused by the decrease in the performance of the refrigeration system, thereby maintaining the stability of the internal temperature of the transfer cabinet. Other methods can also be used in other embodiments, which are not limited here.

[0046] In specific implementation, when the temperature control system malfunctions and causes rapid temperature changes, adjusting the vibration damping strategy to avoid the combined effect of temperature changes and severe vibration exacerbating the quality risk of medical supplies can be achieved in the following way: when an abnormal situation of rapid rise or fall in the internal temperature of the transfer cabinet is detected, an instruction is immediately sent to the vibration damping execution unit to adjust the damping coefficient of the magnetorheological damper and control the vibration amplitude of the cabinet to the lowest level; at the same time, the recommended driving speed of the transfer vehicle is reduced to avoid the combined effect of severe vibration and rapid temperature changes, thereby minimizing the impact on the quality of medical supplies. Other methods can also be used in other embodiments, which are not limited here.

[0047] It should be noted that the above steps can dynamically adjust the control parameters according to the properties of the items and changes in the environment, meet the differentiated protection needs of different medical items, effectively improve the temperature control accuracy and shock absorption effect, and establish a collaborative linkage mechanism between the temperature control system and the shock absorption system, solving the problem of the traditional system being independent of each other, avoiding the chain reaction caused by the failure of a single system, and improving the overall reliability of the transport system.

[0048] In step 104, the multi-dimensional operating parameters of the transfer cabinet and the corresponding safety upper and lower limits are monitored in real time, and the integrated risk index of the current transfer status relative to the historical safety benchmark is calculated.

[0049] In some embodiments, real-time monitoring of the multi-dimensional operating parameters of the transfer cabinet and its corresponding safety upper and lower limits can be achieved by the following steps: Real-time acquisition of multi-dimensional operational parameters generated by the operation of the transfer cabinet, aligned with timestamps; Query and retrieve the upper and lower safety limits for each key parameter that matches the attributes of the currently being shipped item.

[0050] In practice, the real-time acquisition of multi-dimensional operating parameters generated by the operation of the transfer cabinet and aligned with timestamps can be achieved in the following way: acquire the operating parameters of all acquisition terminals at the latest aligned time point, including the temperature value, humidity value, vibration acceleration value of the cabinet, vibration stress value of the refrigeration pipeline, door opening time, etc. These parameters have a unified time reference, and other methods can also be used in other embodiments, which are not limited here.

[0051] In practice, querying and obtaining the upper and lower safety limits corresponding to each key parameter that matches the attributes of the currently transported item can be achieved in the following way: based on the cold chain level and vulnerability level of the currently transported item, query and obtain the corresponding upper and lower safety limits of the key parameters from the system configuration library; wherein, the upper and lower safety limits of the temperature parameter are determined according to the cold chain level of the item, the upper and lower safety limits of the vibration acceleration parameter and vibration stress parameter are determined according to the vulnerability level of the item, and the upper and lower safety limits of the door opening time are determined according to the temperature sensitivity of the item. Other methods can also be used in other embodiments, which are not limited here.

[0052] In some embodiments, reference Figure 3 As shown in the figure, this is a schematic flowchart of the calculation of the integrated risk index in some embodiments of the present invention. In this embodiment, the calculation of the integrated risk index of the current transit status relative to the historical safety benchmark can be achieved by the following steps: In step 1031, the temperature deviation index, vibration cumulative damage index, and door opening risk index are calculated respectively. In step 1032, based on the degree of influence of each index on the quality of medical supplies, corresponding weighting coefficients are set; In step 1033, a weighted summation method is used to calculate the integrated risk index of the current transport status. The integrated risk index comprehensively reflects the combined impact of temperature fluctuations, severe vibrations, and door opening disturbances on the quality of medical supplies.

[0053] In specific implementation, the temperature deviation index, vibration cumulative damage index, and door opening risk index can be calculated in the following ways: the temperature deviation index is calculated by dividing the absolute value of the difference between the current temperature value and the target temperature value by the allowable temperature fluctuation range; the vibration cumulative damage index is calculated by dividing the current vibration cumulative damage value by the vibration cumulative damage threshold; and the door opening risk index is calculated by dividing the current door opening duration by the safe upper limit of door opening duration. Other methods can also be used in other embodiments, which are not limited here.

[0054] In practical implementation, the corresponding weighting coefficients can be set based on the degree of influence of each index on the quality of medical supplies. This can be achieved in the following way: according to the type and attributes of the medical supplies, the weighting coefficients of the temperature deviation index, vibration cumulative damage index, and door opening risk index are determined by expert scoring, and the sum of the weighting coefficients is 1. For example, for vaccine-type supplies that are highly sensitive to temperature, the weighting coefficient of the temperature deviation index is set to 0.6, the weighting coefficient of the vibration cumulative damage index is set to 0.3, and the weighting coefficient of the door opening risk index is set to 0.1; for biological sample-type supplies that are highly sensitive to vibration, the weighting coefficient of the temperature deviation index is set to 0.3, the weighting coefficient of the vibration cumulative damage index is set to 0.6, and the weighting coefficient of the door opening risk index is set to 0.1. Other methods can also be used in other embodiments, which are not limited here.

[0055] In specific implementation, the integrated risk index of the current transfer state is calculated by weighted summation. The integrated risk index is calculated by multiplying the calculated temperature deviation index, vibration cumulative damage index and door opening risk index by their respective weighting coefficients, and then adding the three products together to obtain the integrated risk index of the current transfer state. The value range of the integrated risk index is from 0 to positive infinity. The larger the value, the higher the transfer risk. Other methods can also be used in other embodiments, which are not limited here.

[0056] It should be noted that the above steps can comprehensively assess the overall risks during the transfer process, overcome the limitations of traditional single-parameter monitoring, and promptly identify potential quality risks, providing a scientific basis for early warning and targeted handling.

[0057] In step 105, when the integrated risk index exceeds the preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period, a graded early warning signal is generated and the adaptive zone temperature control strategy and active magnetorheological damping strategy are adjusted in conjunction.

[0058] In some embodiments, when the integrated risk index exceeds a preset risk threshold or any key parameter exceeds the corresponding upper or lower safety limit within a continuous sampling period, generating a graded early warning signal and adjusting the adaptive zoned temperature control strategy and the active magnetorheological damping strategy in conjunction can be achieved through the following steps: Based on the magnitude of the integrated risk index, the early warning is divided into Level 1, Level 2, and Level 3. When different levels of alerts are triggered, a graded alert signal is generated, which includes the alert level, abnormal parameters, abnormal location, and item batch identifier. The graded early warning signals are sent to the designated early warning receivers and digital twin virtual models, and the temperature control and vibration reduction strategies are adjusted in conjunction with the early warning level to reduce the risk of transportation.

[0059] In specific implementation, the warnings are divided into Level 1, Level 2, and Level 3 warnings based on the magnitude of the integrated risk index. This can be achieved in the following way: three risk thresholds are preset, namely the Level 1 risk threshold, the Level 2 risk threshold, and the Level 3 risk threshold, where the Level 1 risk threshold is less than the Level 2 risk threshold, and the Level 2 risk threshold is less than the Level 3 risk threshold. When the integrated risk index is greater than or equal to the Level 1 risk threshold and less than the Level 2 risk threshold, a Level 1 warning is triggered; when the integrated risk index is greater than or equal to the Level 2 risk threshold and less than the Level 3 risk threshold, a Level 2 warning is triggered; when the integrated risk index is greater than or equal to the Level 3 risk threshold, a Level 3 warning is triggered. Other methods can also be used in other embodiments, which are not limited here.

[0060] In specific implementation, when different levels of alerts are triggered, generating a graded alert signal containing the alert level, abnormal parameters, abnormal location, and item batch identifier can be achieved in the following way: Once an alert is triggered, the alert generation service is immediately activated. The alert generation service first determines the alert level and collects key context data at the current moment. This key context data includes: trigger timestamp, alert level, name and value of abnormal parameters, abnormal location, affected item batch identifier, and current integrated risk index value. Then, the alert generation service fills and encapsulates the above information into a structured data object according to a predefined data architecture. This data object is defined as the graded alert signal containing complete alert information. Other methods can also be used in other embodiments, which are not limited here.

[0061] In practical implementation, tiered early warning signals are published to designated early warning receivers and digital twin virtual models. Temperature control and vibration reduction strategies are adjusted in conjunction with the early warning level to reduce transportation risks. This can be achieved through the following methods: After generating tiered early warning signals, they are published through two parallel channels. The first channel is to push them to designated external early warning receivers, i.e., via enterprise message bus, standard API interface, or SMS / email gateway, sending structured tiered early warning signals to the cold chain monitoring platform, the onboard terminals of transport vehicles, and the mobile terminals of maintenance personnel. The second channel is to publish them to the internal digital twin virtual model. Upon receiving the signal, the virtual twin model will drive the corresponding virtual entity in the 3D scene to change its visual state, such as flashing or changing color, and display detailed warning information in the warning panel of the virtual interface. At the same time, the temperature control strategy and vibration reduction strategy will be adjusted in conjunction with the warning level. For a level 1 warning, the cooling power and vibration damping will be appropriately increased; for a level 2 warning, the cooling power and vibration damping will be significantly increased, and the driver will be prompted to reduce the driving speed; for a level 3 warning, the emergency cooling mode and maximum vibration reduction mode will be activated immediately, and the driver will be prompted to stop and check the nearest vehicle. Other methods can also be used in other embodiments, which are not limited here.

[0062] It should be noted that the above steps enable early warning and targeted treatment, and take corresponding control measures according to different risk levels, effectively reducing the quality risk of medical supplies, while realizing synchronous and intuitive warning of physical space risks in virtual space.

[0063] Furthermore, in another aspect, in some embodiments, the present invention provides a precise temperature control and shock absorption protection system for a medical cold chain transport cabinet, see reference. Figure 4 The figure is a structural schematic diagram of a precise temperature control and shock absorption protection system for a medical cold chain transport cabinet according to some embodiments of the present invention. This system includes a data acquisition module, a processing module, and an execution module, which are described below: The data acquisition module in this invention is mainly used to collect multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items from the medical cold chain transport cabinet. The processing module in this invention is mainly used to align all parameters with timestamps, and then push all the timestamp-aligned parameters to the multi-physics field coupled digital twin virtual model corresponding to the transfer cabinet, so as to realize the real-time mapping and visualization of the temperature field, vibration field and airflow field inside the transfer cabinet in the virtual space. The processing module described in this invention is also used to generate an adaptive zoned temperature control strategy and an active magnetorheological damping strategy based on historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the currently transported goods, and to establish a collaborative linkage mechanism between the temperature control system and the damping system. The processing module described in this invention is also used to monitor the multi-dimensional operating parameters of the transfer cabinet and the corresponding safety upper and lower limits in real time, and to calculate the integrated risk index of the current transfer status relative to the historical safety benchmark. The execution module in this invention is mainly used to generate a graded early warning signal and adjust the adaptive partition temperature control strategy and the active magnetorheological vibration reduction strategy in conjunction when the integrated risk index exceeds the preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period.

[0064] The various modules in the aforementioned medical cold chain transport cabinet's precise temperature control and shock absorption system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the computer device's memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0065] In another embodiment, the present invention provides a computer device, which may be a cloud server, and its internal structure diagram may be as follows: Figure 5 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database is an industrial time-series database associated with a digital twin virtual model, used to store historical safe operation data and real-time parameter data of the medical cold chain transport cabinet. The network interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for precise temperature control and vibration damping protection of the medical cold chain transport cabinet.

[0066] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0067] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above embodiment of the precise temperature control and shock absorption protection method for medical cold chain transport cabinets.

[0068] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described embodiment of the precise temperature control and shock absorption protection method for medical cold chain transport cabinets.

[0069] In one embodiment, a computer program product or computer program is provided, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps described in the embodiment of the precise temperature control and shock absorption protection method for medical cold chain transport cabinets.

[0070] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0071] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0072] The technical solutions provided by the embodiments disclosed in this invention have the following beneficial effects: The present invention provides a method and system for precise temperature control and vibration reduction protection of a medical cold chain transport cabinet. First, it collects multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items from the medical cold chain transport cabinet. All parameters are then timestamped and aligned. The timestamped parameters are then pushed to the corresponding multi-physics field coupled digital twin virtual model of the transport cabinet. This enables real-time mapping and visualization of the internal temperature field, vibration field, and airflow field of the transport cabinet in virtual space. This step achieves standardized acquisition of multi-source heterogeneous data, high-precision time synchronization, and real-time push to the multi-physics field digital twin model, thereby establishing a precise and real-time digital image of the physical transport cabinet. This provides a comprehensive and accurate data foundation and simulation support for subsequent precise control and risk assessment. Second, based on the historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the current transported items, an adaptive zoned temperature control strategy and active magnetorheological... The vibration reduction strategy dynamically adjusts control parameters based on the properties of the items and environmental changes, meeting the differentiated protection needs of various medical items and effectively improving temperature control accuracy and vibration reduction effect, overcoming the drawbacks of traditional fixed threshold control and passive vibration reduction. Then, a collaborative linkage mechanism between the temperature control system and the vibration reduction system is established, solving the problem of traditional independent systems and avoiding chain reactions caused by single system failures, thus improving the overall reliability of the transport system. Finally, an integrated risk index is calculated relative to historical safety benchmarks for the current transport status. When the integrated risk index exceeds a preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period, a graded early warning signal is generated, and the adaptive zoned temperature control strategy and active magnetorheological vibration reduction strategy are adjusted accordingly. This step comprehensively assesses the overall risks during transport, enabling early warning and targeted handling, effectively reducing the quality risks of medical items. In summary, the solution of this invention can achieve precise temperature control and active vibration reduction collaborative protection during medical cold chain transport, comprehensively ensuring the quality and safety of medical item transport.

[0073] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A method for precise temperature control and shock protection of a medical cold chain transfer cabinet, characterized in that, Includes the following steps: Collect multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items for the medical cold chain transport cabinet; All parameters are timestamped and then pushed to the multi-physics coupled digital twin virtual model corresponding to the transfer cabinet to realize the real-time mapping and visualization of the temperature field, vibration field and airflow field inside the transfer cabinet in the virtual space. Based on the historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the current transported goods, an adaptive zoned temperature control strategy and an active magnetorheological vibration reduction strategy are generated, and a collaborative linkage mechanism between the temperature control system and the vibration reduction system is established. Real-time monitoring of multi-dimensional operating parameters of the transfer cabinet and corresponding safety upper and lower limits; calculation of the integrated risk index of the current transfer status relative to the historical safety benchmark. When the integrated risk index exceeds the preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period, a graded early warning signal is generated and the adaptive zone temperature control strategy and active magnetorheological damping strategy are adjusted in conjunction.

2. The method of claim 1, wherein the medical cold chain shipping cabinet precision temperature control and shock protection method is characterized by, The collection of multi-dimensional operational parameters, environmental parameters, and attribute parameters of the transported items for the medical cold chain transport cabinet specifically includes: Internal temperature and humidity parameters are collected by temperature and humidity sensors placed in each section of the transfer cabinet. Vibration parameters are collected by vibration acceleration sensors placed at the bottom, side walls, and refrigeration pipes of the cabinet. The door opening / closing status and opening duration parameters are collected using a door magnetic sensor. The GPS module and road condition sensors collect geographical location and road bump level parameters. By reading the RFID tags on the transported goods using an RFID reader, the cold chain level, vulnerability level, and production batch identification parameters of the goods can be obtained.

3. The method of claim 1, wherein the medical cold chain shipping cabinet precision temperature control and shock protection method is characterized by, All timestamp-aligned parameters are pushed to the multiphysics coupled digital twin virtual model corresponding to the transfer cabinet to achieve real-time mapping and visualization of the internal temperature field, vibration field, and airflow field of the transfer cabinet in the virtual space. Specifically, this includes: All timestamp-aligned parameters are sent to the data access layer of the multiphysics coupled digital twin virtual model via industrial communication protocols; Based on the type and location identifier of the parameters, update the state attributes of the corresponding virtual entities in the digital twin virtual model, including the temperature and humidity attributes of each zone, the vibration attributes of each part of the cabinet, and the operation attributes of the refrigeration system. The multiphysics simulation engine that drives the digital twin virtual model solves the distribution of temperature field, vibration field and airflow field in real time, and renders and displays the three-dimensional virtual mapping and multiphysics distribution cloud map of the transfer cabinet.

4. The method of claim 1, wherein the medical cold chain shipping cabinet precision temperature control and shock protection method is characterized by, Based on the historical safe operation data linked by the digital twin virtual model and the cold chain attribute parameters of the currently transported goods, an adaptive zoned temperature control strategy is generated, specifically including: Based on the cold chain level of the transported goods, set the initial target temperature and allowable temperature fluctuation range for different sections of the transport container; Based on the airflow field simulation results of the digital twin virtual model, the fan speed and air delivery angle of each zone are optimized to achieve uniform temperature distribution in each zone. When the cabinet door is detected to be open, the system predicts the opening duration and temperature rise rate based on historical door opening data, and adjusts the operating power and fan speed of the refrigeration unit in advance to generate a predictive temperature control compensation strategy for door opening disturbance.

5. The method of claim 1, wherein the medical cold chain shipping cabinet precision temperature control and shock protection method is characterized by, Based on historical safe operation data linked to a digital twin virtual model and the vulnerability level parameters of the currently transported goods, an active magnetorheological damping strategy is generated, specifically including: Based on the fragility level of the transported items, set the maximum permissible vibration acceleration threshold and the cumulative vibration damage threshold for the cabinet. Based on the road bump level collected by road condition sensors and historical damping data, the target damping coefficient required for the magnetorheological damper is calculated in real time. The corresponding control current is output to the magnetorheological damper to adjust the damping and achieve adaptive damping for different road conditions.

6. The method of claim 1, wherein the medical cold chain shipping cabinet precision temperature control and shock protection method is characterized by, Establishing a coordinated linkage mechanism between the temperature control system and the vibration reduction system specifically includes: The vibration stress state of the refrigeration pipeline is monitored in real time. When the vibration stress exceeds the preset stress threshold, the damping coefficient of the magnetorheological damper is increased to reduce the vibration amplitude of the refrigeration pipeline. When a severe vibration is detected that may cause a decrease in the performance of the refrigeration system, the operating power of the refrigeration unit should be increased in advance to compensate for possible temperature fluctuations. When the temperature control system malfunctions and causes rapid temperature changes, the vibration damping strategy should be adjusted to avoid the combined effect of temperature changes and severe vibrations exacerbating the quality risks of medical supplies.

7. The method of claim 1, wherein the medical cold chain shipping cabinet precision temperature control and shock protection method is characterized by, The calculation of the integrated risk index of the current transit status relative to the historical safety benchmark specifically includes: Calculate the temperature deviation index, vibration cumulative damage index, and door opening risk index respectively; Based on the degree of influence of each index on the quality of medical supplies, corresponding weighting coefficients are set. The integrated risk index of the current transportation status is calculated by weighted summation. The integrated risk index comprehensively reflects the combined impact of temperature fluctuations, severe vibrations, and door opening disturbances on the quality of medical supplies.

8. The method of claim 1, wherein the medical cold chain shipping cabinet precision temperature control and shock protection method is characterized by, When the integrated risk index exceeds a preset risk threshold or any key parameter exceeds the corresponding safety upper or lower limit within a continuous sampling period, a graded early warning signal is generated and the adaptive zoned temperature control strategy and active magnetorheological damping strategy are adjusted accordingly. Specifically, this includes: Based on the magnitude of the integrated risk index, the early warning is divided into Level 1, Level 2, and Level 3. When different levels of warnings are triggered, a graded warning signal is generated, which includes the warning level, abnormal parameters, abnormal location, and item batch identifier. The graded early warning signals are sent to the designated early warning receivers and digital twin virtual models, and the temperature control and vibration reduction strategies are adjusted in conjunction with the early warning level to reduce the risk of transportation.

9. The method for precision temperature control and shock protection of medical cold chain transfer cabinets according to claim 1, wherein, The key parameters include the temperature values ​​of each zone, the vibration acceleration values ​​of the cabinet, the vibration stress values ​​of the refrigeration pipes, and the door opening time.

10. A precision temperature control and shock protection system for a medical cold chain transfer cabinet, characterized in that, include: The data acquisition module is used to collect multi-dimensional operating parameters, environmental parameters, and attribute parameters of the transported items from the medical cold chain transport cabinet. The processing module is used to align all parameters with timestamps, and then push all the timestamp-aligned parameters to the multi-physics coupled digital twin virtual model corresponding to the transfer cabinet, so as to realize the real-time mapping and visualization of the temperature field, vibration field and airflow field inside the transfer cabinet in the virtual space. The processing module is also used to generate an adaptive zoned temperature control strategy and an active magnetorheological damping strategy based on the historical safe operation data associated with the digital twin virtual model and the cold chain attribute parameters of the current transported goods, and to establish a collaborative linkage mechanism between the temperature control system and the damping system. The processing module is further configured to monitor multi-dimensional operation parameters of the transfer cabinet and corresponding upper and lower safety limits in real time, and calculate an integrated risk index of a current transfer state relative to historical safety benchmarks; The execution module is configured to generate a graded early warning signal and link to adjust an adaptive partition temperature control strategy and an active magnetorheological shock absorption strategy when the integrated risk index exceeds a preset risk threshold or any key parameter exceeds the corresponding upper and lower safety limits in a continuous sampling period.

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