Intelligent storage box for medical instruments based on RFID and multi-source environment

Abstract

The application discloses a medical instrument intelligent storage box based on RFID and a multi-source environment and belongs to the biomedical engineering industry field.The medical instrument intelligent storage box based on RFID and the multi-source environment comprises a portable box body, an intelligent control module, a multi-source power supply module and an intelligent management module.The application solves the problems that the existing medical instrument storage and transportation equipment relies on manual management, has poor environmental regulation and control capability and cannot adapt to reliable power supply in multiple scenes.The application realizes intelligent identification and whole-process tracing of medical instruments through RFID technology, realizes accurate and stable control of temperature and humidity through an active closed-loop regulation and control system, and ensures continuous and reliable operation of the equipment in the field, in an emergency and under no commercial power conditions through intelligent multi-source power supply management, thereby significantly improving the intelligent level, storage safety and scene adaptability of medical instrument management.

Description

Technical Field

[0001] This invention relates to the field of biomedical engineering technology, specifically including a smart medical device storage box based on RFID and multi-source environment. Background Technology

[0002] With the continuous development of modern medical technology and public health systems, the storage and transportation of medical devices, especially various vaccines, biological agents, precision testing reagents, surgical consumables, and emergency medicines, are increasingly subject to environmental stability requirements. These items are often extremely sensitive to environmental parameters such as temperature and humidity; exceeding permissible ranges can easily lead to failure, deterioration, or contamination, seriously affecting safety and treatment effectiveness. Particularly in scenarios such as disaster relief, field operations, grassroots medical points, mobile medical units, and the "last mile" of cold chain transportation, traditional fixed medical refrigeration equipment or passive insulated boxes are no longer sufficient to meet the comprehensive needs for portability, reliability, intelligence, and traceability.

[0003] Currently, intelligent medical device storage boxes mainly have the following shortcomings: 1. Most insulated boxes or simple cold storage boxes rely on disposable refrigerants such as pre-cooling ice packs and dry ice, making it difficult to accurately control and maintain the temperature over a long period of time. They cannot be dynamically adjusted according to changes in the items inside the box, and lack effective monitoring and active control of humidity.

[0004] 2. The storage, retrieval, inventory counting, and expiration date management of medical devices in the box rely heavily on manual recording and verification. The process is cumbersome and prone to errors, and it is impossible to achieve unique identification of medical devices, real-time tracking, and automatic archiving of usage records. This can easily lead to management chaos in emergency or rapid turnover scenarios.

[0005] Therefore, it does not meet the existing needs, so we proposed a smart medical device storage box based on RFID and multi-source environment. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent medical device storage box based on RFID and multi-source environment. By integrating a highly reliable portable structure, intelligent adaptive environmental control based on RFID identification, automated full life cycle management of medical devices, and an intelligent multi-source power supply and energy allocation system, an integrated intelligent storage and transportation solution is constructed, which solves the problems mentioned in the background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a smart medical device storage box based on RFID and multi-source environment, comprising: The portable case is divided into an upper case and a lower case. The upper case is provided with an electrical installation area, and the lower case is provided with a sealed and insulated storage area for storing medical devices. The intelligent control module includes a temperature sensor and a humidity sensor installed in the storage area, at least one semiconductor cooling chip for bidirectional temperature control, a cooling fan, a dehumidification device, and a control unit connected to the sensors. The control unit is used to perform linkage control on the semiconductor cooling chip, the cooling fan, and the dehumidification device based on the sensor data to achieve closed-loop regulation of the environmental parameters of the storage area. The multi-source power supply module includes a main battery, a backup battery, an AC power interface for charging the battery, a solar charging interface, and an emergency charging interface, as well as a power management unit, which is used to automatically switch and allocate power sources according to the priority and status of available power sources. The intelligent management module includes an RFID reader / writer installed on the portable case, an RFID tag attached to the medical device, and a control and display unit for processing RFID data and interacting with the user. The RFID reader / writer reads the unique code in the RFID tag through object identification resolution technology and associates it with the background database to obtain the device information. The intelligent management module is used to automatically identify and record the identity information, access status and inventory quantity of medical devices in the storage area, and upload the generated management data to the biological and medical health big data sharing platform through the wireless communication module; The intelligent control module is communicatively connected to the intelligent management module, enabling the control unit to dynamically adjust the environmental parameter settings of the storage area according to the type of specific medical device currently stored and the storage requirements.

[0008] Furthermore, the control unit and the RFID reader / writer in the intelligent management module establish a bidirectional data communication link through a serial communication interface, specifically including: When the RFID reader reads the unique code information of the newly stored RFID tag of the medical device, the intelligent management module performs local parsing of the code; If the preset temperature and humidity storage requirements parameters for this device are stored locally, they can be directly retrieved. If the data is not stored locally, a query request is sent to the biological and medical health big data sharing platform via the wireless communication module to obtain the storage requirement parameters. Once the data acquisition is complete, the intelligent management module will send a data packet containing the target temperature value, target humidity value, and allowable fluctuation range to the control unit. After receiving and parsing the data packet, the control unit automatically updates the closed-loop control target values ​​of the temperature sensor and humidity sensor to values ​​that match the stored requirement parameters, and immediately starts the environmental control process based on the new target values.

[0009] Furthermore, the control unit stores an association mapping table, specifically including: The association mapping table uses the medical device category code as an index and stores the recommended upper and lower limits of the standard temperature setting range, the upper and lower limits of the standard humidity setting range, and the priority weight coefficients for all medical devices. The control unit receives in real time a list of category identifiers for all medical devices in the current storage area from the intelligent management module; The processor built into the control unit traverses the list and queries the associated mapping table to obtain the temperature and humidity setting range and weight corresponding to each type of instrument. The preset optimization algorithm is executed. The optimization algorithm takes the intersection of the setting ranges of all instruments as the constraint condition and the weight coefficient of each instrument as the optimization weight to calculate one or more sets of optimal temperature and humidity setting values. If there are multiple solutions, the set with the lowest energy consumption is selected as the execution target. The control unit generates a corresponding pulse width modulation signal based on the optimal temperature setpoint and the optimal humidity setpoint, and drives the semiconductor cooling chip, the cooling fan and the dehumidification device to work together to perform closed-loop control of the storage area environment.

[0010] Furthermore, the RFID reader of the intelligent management module reads the RFID tag of the medical device when it is stored or retrieved. The control and display unit records the unique code of the device, the storage and retrieval time and the operation type, and updates the inventory list in the storage area in real time. The updated inventory data and the device storage and retrieval event records are packaged and uploaded to the biological and medical health big data sharing platform through the wireless communication module.

[0011] Furthermore, the power management unit has a preset power priority order as follows: AC power interface, solar charging interface, main battery, backup battery, and emergency charging interface. The power management unit continuously monitors whether each power interface has a valid voltage input through the connected voltage and current detection circuit. At the same time, it monitors the real-time remaining power status of the main battery and backup battery through the battery management chip. When the monitoring logic determines that there is a power source with a higher priority than the current power supply, it generates a switching command and switches to the higher priority power source to supply power to the various power modules of the portable case. If the switched power source is an external charging power source, the power management unit simultaneously starts the corresponding constant current-constant voltage charging management program to replenish the rechargeable battery.

[0012] Furthermore, the power management unit is configured with a power monitoring and switching strategy module, specifically including: When the main battery charge is lower than the first set threshold, the power management unit automatically switches to the backup battery for power supply. If the backup battery level is lower than the second preset threshold and no external power is connected, the power management unit will activate the low-power mode and trigger an alarm. When power is detected to be restored from any of the mains power, solar power, or emergency charging interface, the power management unit automatically switches to external power supply and executes the corresponding charging management program.

[0013] Furthermore, the control unit receives detection data from the temperature and humidity sensors in the storage area in real time, and generates control commands based on preset temperature and humidity thresholds. The control commands are simultaneously sent to the semiconductor cooling chip, the cooling fan, and the dehumidification device to coordinately adjust the cooling power, the cold air flow rate, and the dehumidification air volume to maintain the dynamic balance of temperature and humidity in the storage area.

[0014] Furthermore, the control unit incorporates multi-level environmental control logic, specifically including: When the temperature sensor detects that the temperature of the storage area is higher than the preset target value, the control unit first activates the semiconductor cooling chip and the cooling fan to cool down the area. If the humidity sensor detects that the humidity exceeds the preset range at the same time, the dehumidification device will be started simultaneously to dehumidify, and the operating parameters of each actuator will be dynamically adjusted according to the real-time sensor feedback data until the temperature and humidity return to the set range.

[0015] Furthermore, the control unit has a built-in feedforward load compensation module based on RFID thermal property parameter mapping, which is used to eliminate the impact of differences in thermal inertia of medical devices on the stability of closed-loop control. The specific execution steps are as follows: The intelligent management module parses the RFID tags to obtain the unique code of each type of medical device in the storage area, and retrieves the individual mass of that type of device from the pre-set database. Specific heat capacity and packaging thermal conductivity correction factor ; The control unit is based on the law of conservation of energy and the mass of a single unit. Specific heat capacity and packaging thermal conductivity correction factor The target pulse width modulation duty cycle driving the semiconductor cooler at the current moment is periodically calculated using the following dynamic heat load balance formula. : in, This represents the total drive duty cycle for the current control cycle. This refers to the current real-time DC bus voltage of the multi-source power supply module. This is the rated maximum operating current of the thermoelectric cooler. For the semiconductor cooling chip to meet the current internal and external temperature difference The cooling energy efficiency ratio function under the following conditions; The overall heat transfer coefficient of the portable enclosure; The effective heat exchange surface area of ​​the portable enclosure; , These refer to the ambient temperature outside the box and the temperature of the storage area inside the box, respectively. The system's thermal response damping coefficient; The equivalent heat capacity of the inherent components and air within the storage area; , These are the number of types of medical devices and the number of... The number of such medical devices; , For respectively the first Individual mass and specific heat capacity of such instruments; For the first Thermal resistance correction factor for packaging materials of medical devices; The slope of the preset target temperature change trajectory; The feedback duty cycle component is calculated by the PID feedback control loop based on the real-time temperature error. The control unit utilizes the calculated The input power of the semiconductor cooling chip can be directly adjusted to match the total sensible heat load of the stored medical device with the leakage heat load of the enclosure in real time.

[0016] Furthermore, the control unit is equipped with a dynamic diagnostic strategy for the thermal insulation integrity of the enclosure, used to identify the degradation of the enclosure's thermal insulation performance or sealing failure without additional physical testing equipment; specifically including: When the enclosure is in a temperature-maintaining state and the enclosure door is not opened, the control unit uses an RFID reader to count the total heat capacity of all medical devices in the current storage area and obtain the temperature difference between the current ambient temperature and the temperature inside the enclosure. The control unit combines the total heat capacity, temperature difference, and factory-preset standard heat leakage model to calculate the theoretical energy consumption required to maintain a constant temperature under the current operating conditions. The control unit samples the actual input power of the thermoelectric cooler in real time through the power management unit and calculates the average actual energy consumption within a preset time window; The deviation ratio between actual energy consumption and theoretical energy consumption is calculated. If the deviation ratio continuously exceeds the preset abnormal heat loss threshold, it is determined that the sealing strip of the portable case is aging or the insulation layer is damaged. The control unit immediately generates an insulation failure warning and uploads it to the big data platform through the wireless communication module, prompting maintenance personnel to maintain or replace the case.

[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention integrates an active temperature control system based on a semiconductor cooling chip, a humidity sensor, and a dehumidification device, and combines them with communication linkage with an RFID intelligent identification module to achieve precise and dynamic closed-loop control of the internal temperature and humidity of the storage box. It can automatically query and set the optimal environmental parameters according to the specific type of medical device currently being stored, overcoming the shortcomings of traditional passive insulated boxes that rely on disposable refrigerant, have inaccurate temperature control, cannot adjust humidity, and have poor adaptability. It significantly improves the reliability and safety of storing sensitive medical devices in complex and ever-changing scenarios.

[0018] 2. This invention, by introducing RFID automatic identification technology and wireless communication technology, constructs a digital management system for the entire process of medical devices, from storage and retrieval to replenishment. It realizes unique identification of device identity, automatic recording of storage and retrieval operations, real-time inventory counting, and automatic data uploading to a remote big data platform. This completely changes the situation of inefficiency, error-proneness, and difficulty in traceability of traditional manual recording methods, thus providing an efficient and intelligent solution for the refined management, expiration date monitoring, and traceability of medical devices, especially in emergency scenarios. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the module of the intelligent medical device storage box based on RFID and multi-source environment of the present invention; Figure 2 This is a module execution diagram of the intelligent medical device storage box based on RFID and multi-source environment of the present invention; Figure 3 This is an external view of the intelligent medical device storage box of the present invention; Figure 4 This is a schematic diagram of the control logic of each circuit inside the intelligent medical device storage box of the present invention. Figure 5 This is an execution diagram of the control unit of the present invention; Figure 6 This is an execution diagram of the power management unit of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] To address the issues of existing medical device storage and transportation equipment relying on manual management, having poor environmental control capabilities, and being unable to reliably supply power for various scenarios, please refer to [link / reference]. Figures 1-6 This embodiment provides the following technical solution: The intelligent medical device storage box based on RFID and multi-source environment includes: The portable case is divided into an upper case and a lower case. The upper case is provided with an electrical installation area, and the lower case is provided with a sealed and insulated storage area for storing medical devices. The portable case resembles a rolling suitcase, with a telescopic handle and retractable casters. The upper case is used to install solar panels, control buttons, data interfaces, displays, batteries, and control boards. The lower case contains an insulated box with a capacity of approximately 15 liters for storing medical supplies, and is equipped with a heat dissipation tank and semiconductor cooling chips. The case has a waterproof and airtight structure. The intelligent control module includes a temperature sensor and a humidity sensor installed in the storage area, at least one semiconductor cooling chip for bidirectional temperature control, a cooling fan, a dehumidification device, and a control unit connected to the sensors. The control unit is used to perform linkage control on the semiconductor cooling chip, the cooling fan, and the dehumidification device based on the sensor data to achieve closed-loop regulation of the environmental parameters of the storage area. The control unit in the intelligent control module uses STM32F103 series chips. The cooling fan introduces the cold air from the cold end of the thermoelectric cooler into the storage area. The temperature sensor detects the temperature of the storage area in real time. The control unit controls the start and stop of the thermoelectric cooler and the cooling fan in a closed loop according to the detection data, so that the temperature of the storage area can be kept below 26℃ even in a high temperature environment of 35-37℃. The dehumidification device includes a mini dehumidifying fan and a desiccant placement area. A humidity sensor detects the humidity in the storage area, and the control unit controls the dehumidifying fan to expel moisture from the box based on the humidity data. When the humidity exceeds 90%, the control unit triggers the box indicator light to flash to remind the user to put in desiccant, so that the humidity in the storage area is maintained below 80%. Alternatively, the control unit in the intelligent control module uses an STM32F103 series chip, which guides the cold air from the cold end of the thermoelectric cooler into the storage area via a cooling fan. A temperature sensor monitors the storage area temperature in real time, and the control unit uses this data to adjust the power of the thermoelectric cooler and the cooling fan in a closed-loop manner. Thanks to the efficient insulation structure of the enclosure, the storage area temperature can be stably maintained within the 2-8℃ range required by medical devices even in a high-temperature external environment of 35-37℃.

[0022] The dehumidification device adopts an active condensation dehumidification structure. When the humidity sensor detects that the humidity in the storage area exceeds the set upper limit (such as 60%), the control unit drives a miniature exhaust fan to draw the humid air in the box into the cold end fins of the semiconductor cooling chip. The low temperature condenses the moisture in the air into liquid water, which drips into the water collection box and is discharged. The dried air is then blown back into the storage area, thereby achieving precise closed-loop control of humidity without manual intervention.

[0023] The semiconductor cooling chip consists of two chips, each measuring 40×40×4.5 mm. The input power is approximately 70 watts, and the cooling power is approximately 60 watts. At a room temperature of 26°C, the surface temperature of its cold end can be reduced to about 10°C within 2 minutes and to about 0°C within 10 minutes. The multi-source power supply module includes a main battery, a backup battery, an AC power interface for charging the battery, a solar charging interface, and an emergency charging interface, as well as a power management unit, which is used to automatically switch and allocate power sources according to the priority and status of available power sources. Among them, the main battery and backup battery in the multi-source power supply module are both 12-volt, 15-amp-hour lithium batteries. The mains power interface is used for regular charging, the solar charging interface is used for charging under sufficient sunlight, the emergency charging interface supports charging by hand-cranked generator, and the power management unit automatically switches the power source according to the power availability and priority. The intelligent management module includes an RFID reader / writer mounted on the portable case, an RFID tag attached to the medical device, and a control and display unit for processing RFID data and interacting with the user. The RFID reader / writer uses object identifier resolution technology to read the unique code in the RFID tag and associates it with the background database to obtain the device information, including the device's name, specifications, expiration date, and storage conditions. The control and display unit displays the device's storage and retrieval status and inventory quantity in real time and uploads the management data to the biological and medical health big data sharing platform via a wireless communication module. The intelligent management module is used to automatically identify and record the identity information, access status and inventory quantity of medical devices in the storage area, and upload the generated management data to the biological and medical health big data sharing platform through the wireless communication module; The intelligent control module is communicatively connected to the intelligent management module, enabling the control unit to dynamically adjust the environmental parameter settings of the storage area according to the type of specific medical device currently stored and the storage requirements.

[0024] The technical effects of the above-mentioned solution are as follows: The intelligent control module uses semiconductor cooling chips and sensors in conjunction, overcoming the shortcomings of traditional ice pack-type insulated boxes, such as inaccurate temperature control, inability to maintain temperature for a long time, and neglect of humidity management. It achieves precise, dynamic, and adaptive adjustment of temperature and humidity, ensuring the storage activity and safety of sensitive medical devices. The introduction of multi-source power supply modules and intelligent power management strategies ensures the continuous and reliable operation of the equipment in complex scenarios such as field operations, emergencies, or power outages, improving the environmental adaptability and robustness of the storage box. Furthermore, through RFID automatic identification and wireless data uploading, the identification, storage and retrieval records, inventory counts, and expiration date management of medical devices are automated and digitized. In conjunction with a remote big data platform, it enables real-time accessibility, process traceability, and status control of medical device information, greatly improving management efficiency and accuracy. It is especially suitable for the refined management of medical devices in grassroots, mobile, and emergency medical scenarios.

[0025] The control unit and the RFID reader / writer in the intelligent management module establish a bidirectional data communication link via a serial communication interface or a CAN bus, specifically including: When the RFID reader reads the unique code information of the newly stored RFID tag of the medical device, the intelligent management module performs local parsing of the code; If the preset temperature and humidity storage requirements parameters for this device are stored locally, they can be directly retrieved. If the data is not stored locally, a query request is sent to the biological and medical health big data sharing platform via the wireless communication module to obtain the storage requirement parameters. Once the data acquisition is complete, the intelligent management module will send a data packet containing the target temperature value, target humidity value, and allowable fluctuation range to the control unit. After receiving and parsing the data packet, the control unit automatically updates the closed-loop control target values ​​of the temperature sensor and humidity sensor to values ​​that match the stored requirement parameters, and immediately starts the environmental control process based on the new target values.

[0026] The technical effects of the above solution are as follows: When a new medical device is stored in the storage box, it can automatically and quickly query and obtain the specific storage requirements parameters of the device through a local or remote database, and immediately send the precise temperature and humidity settings and allowable fluctuation ranges to the control unit. This drives the semiconductor cooling chip, cooling fan and dehumidification device to work together, so that the storage environment can quickly adapt to the optimal storage conditions of the current item. This process is fully automated and requires no manual intervention. It not only significantly improves the response speed and accuracy of environmental adaptation after the device is stored, effectively preventing the risk of damage to the device's activity due to incorrect or delayed parameter settings, but also ensures the reliable execution of the intelligent control function in different network environments through a mechanism that combines local caching and remote querying.

[0027] The control unit stores an association mapping table, which specifically includes: The association mapping table uses the medical device category code as an index and stores the recommended upper and lower limits of the standard temperature setting range, the upper and lower limits of the standard humidity setting range, and the priority weight coefficients for all medical devices. The control unit receives in real time a list of category identifiers for all medical devices in the current storage area from the intelligent management module; The processor built into the control unit traverses the list and queries the associated mapping table to obtain the temperature and humidity setting range and weight corresponding to each type of instrument. The preset optimization algorithm is executed. The optimization algorithm takes the intersection of the setting ranges of all instruments as the constraint condition and the weight coefficient of each instrument as the optimization weight to calculate one or more sets of optimal temperature and humidity setting values. If there are multiple solutions, the set with the lowest energy consumption is selected as the execution target. The control unit generates a corresponding pulse width modulation signal based on the optimal temperature setpoint and the optimal humidity setpoint, and drives the semiconductor cooling chip, the cooling fan and the dehumidification device to work together to perform closed-loop control of the storage area environment.

[0028] The technical effects of the above solution are as follows: The control unit can quickly query the standard storage parameters and importance weights of each instrument based on the real-time list of instrument categories in the box without relying on external commands. Using the intersection of the allowable storage ranges of all instruments as a hard constraint and priority weights as an optimization guide, the system automatically finds a solution that meets the basic storage conditions of all instruments while taking into account the needs of high-priority instruments as much as possible through a preset priority algorithm. This process achieves a leap from single instrument adaptation to global optimization of multi-instrument coexistence environments, solving the problem that traditional equipment cannot automatically coordinate different storage requirements or can only manually set fixed values, resulting in poor storage conditions for some instruments. While ensuring the safety of all stored items, the system significantly improves the environmental adaptability of the equipment.

[0029] The RFID reader of the intelligent management module reads the RFID tag of the medical device when it is stored or retrieved. The control and display unit records the unique code of the device, the storage and retrieval time and the operation type, and updates the inventory list in the storage area in real time. The updated inventory data and the device storage and retrieval event records are packaged and uploaded to the biological and medical health big data sharing platform through the wireless communication module.

[0030] The technical effects of the above solution are as follows: each opening and retrieval operation can be automatically and accurately recorded, including the unique identity of the specific device, the operation timestamp, and the operation type, and an accurate inventory list is generated in real time. This replaces the error-prone, inefficient, and slow traditional manual paper records or manual barcode scanning methods. All recorded data is automatically packaged and uploaded to the central big data platform via wireless network, enabling managers to remotely and in real time monitor the dynamics of materials, changes in inventory, and usage records of each storage box. This greatly improves the transparency, traceability, and response speed of medical device management in the warehousing, distribution, and usage stages, thereby providing accurate and timely data support for material scheduling decisions, expiration date warnings, usage audits, and prevention of material shortages or expiration.

[0031] The power management unit has a preset power priority order as follows: AC power interface, solar charging interface, main battery, backup battery, and emergency charging interface. The power management unit continuously monitors whether there is a valid voltage input at each power interface through the connected voltage and current detection circuit. At the same time, it monitors the real-time remaining power status of the main battery and backup battery through the battery management chip. When the monitoring logic determines that there is a power source with a higher priority than the current power supply, it generates a switching command and switches to the higher priority power source to supply power to the various power modules of the portable case. If the switched power source is an external charging power source, the power management unit simultaneously starts the corresponding constant current-constant voltage charging management program to replenish the rechargeable battery.

[0032] The power management unit is equipped with a power monitoring and switching strategy module, which specifically includes: The remaining percentage of battery capacity is estimated by periodically sampling the terminal voltage of the main battery and the backup battery using a high-precision analog-to-digital converter and combining it with the battery internal resistance model. When the remaining charge percentage of the main battery is lower than the first set threshold, the power management unit controls the switching circuit to disconnect the main battery power supply path and at the same time close the backup battery power supply path to achieve seamless switching. If, after switching to backup battery power, the remaining battery percentage is also lower than the second set threshold, and at this time all external power interfaces have no valid input, the power management unit sends a low battery warning signal to the main control unit. The main control unit then reduces the operating frequency of non-core modules or shuts down some functions to enter low power mode, and at the same time drives the audible and visual alarm to issue continuous or intermittent prompts. When the monitoring circuit of the power management unit detects a valid voltage input again at any one of the mains power interface, solar charging interface, or emergency charging interface, it immediately switches the power supply to the external power source, disconnects the battery power supply path, and calls the preset charging algorithm according to the type of power source connected to perform the corresponding charging management process for the main battery and / or backup battery.

[0033] The technical effects of the above solution are as follows: By continuously and automatically monitoring the status and power of all available power sources, and strictly following a preset priority order for seamless and smooth power supply switching, it prioritizes the use of the external power grid or renewable energy, consuming internal batteries only when necessary, thereby maximizing the use of clean energy and extending battery life. Its sophisticated power monitoring and tiered early warning mechanism can automatically switch to backup batteries when the main battery is low on power, and proactively trigger low-power mode and audible and visual alarms when all batteries are depleted and there is no external power source, buying valuable emergency response time for operators and effectively preventing catastrophic consequences such as environmental instability and damage to medical equipment due to sudden power outages. Once external power is restored, the system can immediately switch back to external power and initiate intelligent charging to quickly replenish battery energy. The entire logic achieves uninterrupted power supply and efficient energy management, significantly improving the self-sufficiency, survivability, and mission reliability of the storage tank in harsh or uncertain power supply environments, ensuring the continuous stability of the cold chain.

[0034] The control unit receives real-time detection data from the temperature and humidity sensors in the storage area and generates control commands based on preset temperature and humidity thresholds. The control commands are simultaneously sent to the semiconductor cooling chip, the cooling fan, and the dehumidification device to coordinately adjust the cooling power, the cold air flow rate, and the dehumidification air volume to maintain the dynamic balance of temperature and humidity in the storage area. Specifically, the control unit receives analog voltage or digital signals from the temperature and humidity sensors inside the storage area in real time at a fixed sampling period through its analog-to-digital conversion channel, and converts them into specific temperature and humidity detection values. The control unit compares the detection values ​​with preset temperature and humidity target thresholds stored internally. Based on the comparison results and a preset PID control algorithm, the control unit generates a set of parallel control instructions, including: a current control instruction for adjusting the operating current of the thermoelectric cooler to change its cooling power, a fan PWM instruction for adjusting the speed of the cooling fan motor to control the airflow rate, and a fan control instruction for adjusting the speed of the miniature dehumidifying fan in the dehumidification device to control the dehumidification airflow. These instructions are sent simultaneously and independently to the corresponding actuators, driving them to work together to cope with changes in heat and humidity loads within the storage area and maintain a dynamic balance between temperature and humidity near the target values.

[0035] The technical effects of the above solution are as follows: It continuously senses changes in the microenvironment within the storage area at fixed intervals and quickly compares the detected temperature and humidity values ​​with preset targets. Through independent control commands, it synchronously and precisely adjusts the cooling intensity of the semiconductor cooling chip, the airflow distribution efficiency of the cooling fan, and the dehumidification rate of the dehumidification device. This multi-dimensional collaborative response capability enables the system to effectively cope with heat and humidity load disturbances caused by external environmental fluctuations, door opening, or changes in the contents of the enclosure. It stabilizes the temperature and humidity within a very narrow target range, preventing problems such as excessive temperature fluctuations, humidity runaway, or energy waste that may occur with traditional single control methods. This solution ensures a high degree of uniformity and stability of the storage environment, providing constant and reliable storage conditions for vaccines, biological agents, and other materials that are extremely sensitive to temperature and humidity. This maximizes the effectiveness and safety of medical devices and extends their effective shelf life under special environments.

[0036] The control unit has built-in multi-level environmental control logic, specifically including: When the temperature sensor detects that the temperature of the storage area is higher than the preset target value, the control unit first activates the semiconductor cooling chip and the cooling fan to cool down the area. If the humidity sensor detects that the humidity exceeds the preset range at the same time, the dehumidification device will be started simultaneously to dehumidify, and the operating parameters of each actuator will be dynamically adjusted according to the real-time sensor feedback data until the temperature and humidity return to the set range. Specifically, the control unit continuously compares the current temperature value fed back by the temperature sensor with the preset temperature target value. When it detects that the current temperature is continuously higher than the target value and exceeds the first dead zone, the control logic enters the first stage. The control unit outputs a control signal to start the semiconductor cooling chip and simultaneously starts the cooling fan for active cooling. During the cooling process, the control unit compares the current humidity value fed back by the humidity sensor with the preset humidity target range. If the current humidity exceeds the upper limit of the target range, the control logic enters the second stage. While maintaining the cooling control signal, the control unit additionally outputs a control signal to start the dehumidification device for dehumidification. Throughout the entire control process, the control unit dynamically calculates and adjusts the current output to the semiconductor cooling chip, the duty cycle of the cooling fan, and the duty cycle of the dehumidification fan based on the real-time feedback data from the temperature and humidity sensors and a preset control algorithm, until the feedback data from the temperature and humidity sensors stably fall within their respective target setting ranges.

[0037] The technical effects of the above solution are as follows: Temperature control is the core primary task. When the temperature exceeds the limit, the refrigeration system is activated first for a rapid response, ensuring timely suppression of the heat load. Simultaneously, the system monitors humidity in parallel. If excessive humidity occurs during cooling or independently, the dehumidification function is immediately activated, forming a collaborative working mode. This logic avoids resource conflicts or response delays that may be caused by single or chaotic control. Through real-time, independent, and dynamic PID adjustment of the operating parameters of each actuator, the temperature and humidity can be precisely converged and stabilized within the preset safe range with optimal energy consumption and the fastest speed. This significantly improves the overall control efficiency, stability, and adaptability of the system under complex environmental disturbances, ensuring the rapid recovery and long-term balance of the microclimate inside the chamber.

[0038] Working Principle: The intelligent storage box of this invention automatically identifies the identity information of stored medical devices through an RFID reader integrated on the box. It then obtains the specific temperature and humidity storage requirements of the device through local query or a remote big data platform and sends this parameter instruction to the intelligent control module. The control module, based on the received target value, collects real-time data from the temperature and humidity sensors inside the box and achieves precise, dynamic, closed-loop control of the storage environment by controlling the coordinated operation of the semiconductor cooling chip, cooling fan, and dehumidification device. When multiple devices are stored in the box, it can automatically calculate and execute the optimal temperature and humidity settings that meet the requirements of all items based on a preset algorithm. Simultaneously, all device storage and retrieval operations, inventory status, and environmental data are automatically recorded and wirelessly transmitted to the cloud platform, achieving fully traceable intelligent management. Regarding power supply, the power management unit can automatically switch and allocate power among multiple power sources according to preset priorities, ensuring continuous and reliable operation of the system in complex scenarios such as field operations and emergency situations. In summary, this invention achieves adaptive and precise control of the medical device storage environment and fully unmanned intelligent management of warehousing and circulation, significantly improving device safety and management efficiency.

[0039] Specifically, the control unit has a built-in feedforward load compensation module based on RFID thermal property parameter mapping, which is used to eliminate the impact of differences in thermal inertia of medical devices on the stability of closed-loop control. The specific execution steps are as follows: The intelligent management module parses the RFID tags to obtain the unique code of each type of medical device in the storage area, and retrieves the individual mass of that type of device from the pre-set database. Specific heat capacity and packaging thermal conductivity correction factor ; The control unit is based on the law of conservation of energy and the mass of a single unit. Specific heat capacity and packaging thermal conductivity correction factor The target pulse width modulation duty cycle driving the semiconductor cooler at the current moment is periodically calculated using the following dynamic heat load balance formula. : in, The total drive duty cycle of the current control cycle (dimension 1, value range 0~1); The current real-time DC bus voltage of the multi-source power supply module (unit: ); The rated maximum operating current of the thermoelectric cooler (unit: ); For the semiconductor cooling chip to meet the current internal and external temperature difference The cooling energy efficiency ratio function (dimension 1) is determined by the control unit based on the real-time temperature difference. Obtained by consulting the pre-stored performance curve table; The overall heat transfer coefficient of the portable enclosure (unit: ); Effective heat exchange surface area of ​​the portable enclosure (unit: ); , These are the ambient temperature outside the box and the temperature of the storage area inside the box (unit: ); The system thermal response damping coefficient (dimension 1) is calibrated through a step thermal response test before leaving the factory. Equivalent heat capacity of the inherent components and air within the storage area (unit: ); , These are the number of types of medical devices and the number of... The number of such medical devices; , For respectively the first Individual mass of the device ( ) and specific heat capacity ( ); For the first Thermal resistance correction factor (dimension 1) for packaging materials of medical devices. The slope of the preset target temperature change trajectory (unit: ); The feedback duty cycle component is calculated by the PID feedback control loop based on the real-time temperature error. The control unit utilizes the calculated The input power of the semiconductor cooling chip can be directly adjusted to match the total sensible heat load of the stored medical device with the leakage heat load of the enclosure in real time.

[0040] In this embodiment, the feedforward load compensation module based on RFID thermophysical parameter mapping built into the control unit operates by establishing a dynamic model that reflects the real-time physical and thermodynamic state within the enclosure. This model is built from the moment the medical devices are stored and the enclosure door is closed. At this moment, the intelligent management module immediately activates the RFID reader, stimulating all passive tags within the storage area via radio frequency signals. The reader employs an anti-collision algorithm, completing the reading and identification of the unique electronic codes (EPCs) of all medical devices within the enclosure in a short time of hundreds of milliseconds. Subsequently, the microprocessor within the control unit uses each read code as an independent index key for high-frequency retrieval in a pre-set medical supplies thermophysical property database. This database pre-stores the thermodynamic parameters specific to each type of medical device, specifically including: the effective thermal mass per unit that determines the basic scale of the sensible heat load (…). ), the intrinsic specific heat capacity of a substance to quantify its heat storage capacity ( ) and the overall thermal conductivity correction factor for packaging ( Among them, the overall thermal conductivity correction coefficient of packaging is introduced (). This is to mathematically compensate for the heat transfer hysteresis effect that occurs when cold energy penetrates different packaging materials (such as cardboard boxes, foam cushioning layers, or glass ampoules), and to prevent the control algorithm from misjudging the synchronization between the internal core temperature and the air temperature due to differences in packaging thermal resistance.

[0041] After obtaining the detailed parameters mentioned above, the control unit processor begins constructing a comprehensive thermal model of the entire enclosure. Based on the law of conservation of energy, the processor multiplies the individual mass and specific heat capacity of each identified type of instrument, weights this multiplication with a packaging correction factor, and finally calculates the heat capacity of all instruments along with the inherent heat capacity of the enclosure's inner wall, cooling fan assembly, shelves, and the air inside the enclosure. The total thermal inertia capacity of the system at the current moment is calculated by summing the results. This value quantifies, in a physical sense, the total energy required to change the overall temperature of a specific load by one unit. Whenever a door opening or a change in the inventory list is detected, the system automatically recalculates and updates this capacity value to ensure that the control baseline remains consistent with the actual load condition.

[0042] Based on the established total thermal inertia capacity, the control unit performs periodic dynamic heat load balance calculations to determine the drive duty cycle of the thermoelectric cooler. The calculation process is logically broken down into three dimensions of energy planning: first, the calculation of static heat loss load, where the system uses high-precision temperature sensors to collect real-time data on the temperature difference between the inside and outside of the chamber (…). ), combined with the overall heat transfer coefficient of the enclosure as measured in the laboratory ( ) and effective heat exchange surface area ( The system calculates the environmental heat power that must be offset through the chamber walls to maintain a constant temperature under the current environmental conditions; secondly, it calculates the dynamic temperature load, based on the target temperature change slope determined by the preset temperature control strategy curve. Multiplying this by the previously calculated total thermal inertia capacity gives the exact amount of additional sensible heat power that needs to be removed or injected from the chamber to achieve the physical cooling or heating rate.

[0043] Finally, regarding the DC bus voltage in multi-source power supply environments in the field (especially solar and hand-cranked power generation) To mitigate potential drastic fluctuations, the control logic incorporates a millisecond-level voltage feedforward compensation mechanism when generating the final PWM signal. Since the actual cooling power of the thermoelectric cooler is proportional to the square of the input voltage, traditional fixed PID control can cause a non-linear and sudden decrease in cooling capacity when the voltage drops. Therefore, the formula includes a reciprocal term for the voltage. The control unit samples the bus voltage in real time using a high-speed analog-to-digital converter and performs inverse derivation based on the thermoelectric cooler's energy efficiency ratio function at the current temperature difference. When a drop in bus voltage is detected, the algorithm automatically calculates an increased duty cycle. To compensate for the energy lost due to voltage drop, the conduction time is extended; conversely, the duty cycle is reduced. This feedforward regulation ensures that the effective average cooling power acting on the thermoelectric cooler always smoothly and stably matches the load's thermal demand, achieving complete decoupling between cooling output and supply voltage fluctuations.

[0044] Specifically, the control unit is equipped with a dynamic diagnostic strategy for the thermal insulation integrity of the enclosure, used to identify the degradation of the enclosure's thermal insulation performance or sealing failure without additional physical testing equipment; specifically including: When the enclosure is in a temperature-maintaining state and the enclosure door is not opened, the control unit uses an RFID reader to count the total heat capacity of all medical devices in the current storage area and obtain the temperature difference between the current ambient temperature and the temperature inside the enclosure. The control unit combines the total heat capacity, temperature difference, and factory-preset standard heat leakage model to calculate the theoretical energy consumption required to maintain a constant temperature under the current operating conditions. The control unit samples the actual input power of the thermoelectric cooler in real time through the power management unit and calculates the average actual energy consumption within a preset time window; The deviation ratio between actual energy consumption and theoretical energy consumption is calculated. If the deviation ratio continuously exceeds the preset abnormal heat loss threshold, it is determined that the sealing strip of the portable case is aging or the insulation layer is damaged. The control unit immediately generates an insulation failure warning and uploads it to the big data platform through the wireless communication module, prompting maintenance personnel to maintain or replace the case.

[0045] In this embodiment, the dynamic diagnostic strategy for the thermal insulation integrity of the enclosure configured in the control unit aims to achieve online monitoring of latent physical damage such as aging of sealing strips and vacuum failure of the insulation layer through software algorithms without the need for additional physical testing equipment. This diagnostic program typically runs automatically in the background under steady-state conditions where the enclosure is in a temperature-maintaining state (i.e., the internal temperature has stabilized at the set value) and the enclosure door is confirmed not to be open via a magnetic switch. The first stage of the diagnostic process is to establish an accurate theoretical energy consumption baseline. Since the temperature fluctuation characteristics under the same heat leakage conditions differ significantly under different loads (e.g., empty enclosure insulation versus full-load insulation), the control unit first triggers the RFID reader to reconfirm the types and quantities of all medical devices in the current storage area, thereby locking in the exact internal load heat capacity. Subsequently, the control unit reads the current internal temperature and external ambient temperature to obtain the real-time temperature difference and calls the standard heat leakage model stored in memory. This model records the heat flux theoretically required per second for maintaining a constant temperature under the current temperature difference in the enclosure's factory-fitted condition. The system combines this heat flux with the coefficient of performance (COP) of the thermoelectric cooler under the current operating conditions to calculate the theoretically required electrical power to maintain this state.

[0046] Specifically, with the cabinet door closed and the temperature stable, the control unit triggers a micro-perturbation thermal response test: temporarily adjusting the target temperature to generate a small step signal, and continuously monitoring the dynamic rate of change of the temperature inside the cabinet. ).

[0047] The control unit combines the total heat capacity value obtained by RFID (including the heat capacity of the instrument and the inherent heat capacity of the enclosure), real-time temperature difference, and the factory-preset standard heat leakage model ( ,in The theoretical heat load power, To consider the overall heat transfer coefficient, To achieve an effective heat exchange surface area, For real-time temperature difference, (where is the total heat capacity of the system), calculate the theoretically expected rate of temperature change under the current total heat capacity load.

[0048] The measured rate of temperature change is compared with the theoretical calculation. If the measured rate of change is significantly faster than the theoretical value (the deviation exceeds the threshold), it indicates that the overall heat transfer coefficient of the enclosure is... An abnormal increase occurred, indicating that the sealing strip of the portable case was aging or the insulation layer was damaged.

[0049] The second stage of the diagnostic process involves precise measurement and correction of actual operating energy consumption. The high-precision current and voltage detection circuit integrated within the power management unit continuously records the instantaneous input power of the thermoelectric cooler, cooling fan, and dehumidifier at a preset high sampling frequency. To eliminate power data jitter caused by PWM pulse modulation, the control unit integrates and averages the instantaneous power within a preset time window (e.g., the past 15 to 30 minutes) to obtain smooth, measured energy consumption data. To further improve the confidence of the diagnostic data, the system incorporates environmental interference correction logic: it estimates the external wind speed by analyzing the frequency characteristics of temperature fluctuations and normalizes the actual energy consumption data accordingly, eliminating non-faulty high energy consumption components caused by increased surface heat transfer coefficients due to strong winds. Simultaneously, if recent door opening or a period of drastic temperature changes is detected, the diagnostic logic automatically suspends, waiting for the system to re-enter thermal equilibrium to prevent misjudgment.

[0050] The third stage of diagnosis involves core comparison and multi-dimensional response. The control unit calculates the deviation ratio between the corrected actual measured energy consumption and the theoretical energy consumption benchmark. If this deviation ratio continuously and stably exceeds the preset abnormal heat loss threshold (e.g., actual energy consumption consistently exceeds the theoretical benchmark value by more than 20%), the control unit determines that the physical insulation structure of the enclosure has experienced irreversible performance degradation. Once insulation failure is diagnosed, the system triggers a multi-dimensional response mechanism: on the one hand, it generates a complete diagnostic package containing a fault determination timestamp, the current internal and external temperature difference data, details of the load inside the enclosure, and energy consumption deviation data, and uploads it to the biomedical health big data platform with the highest priority via the wireless communication module, providing maintenance personnel with remote fault analysis basis and a full life cycle health record of the enclosure; on the other hand, the control unit immediately updates the local power management strategy, no longer based on the factory nominal parameters, but based on the currently detected actual high energy consumption rate, recalculates the estimated remaining battery life, and updates and issues warnings on the display unit. This mechanism allows field users to clearly understand the equipment's true sustaining capacity when insulation performance deteriorates, enabling them to take timely measures such as connecting to backup power or transferring supplies, effectively avoiding power outages caused by relying on inaccurate nominal endurance data.

[0051] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0052] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. An intelligent medical instrument storage box based on RFID and multi-source environment, characterized in that, include: The portable case is divided into an upper case and a lower case. The upper case is provided with an electrical installation area, and the lower case is provided with a sealed and insulated storage area for storing medical devices. The intelligent control module includes a temperature sensor and a humidity sensor installed in the storage area, at least one semiconductor cooling chip for bidirectional temperature control, a cooling fan, a dehumidification device, and a control unit connected to the sensors. The control unit is used to perform linkage control on the semiconductor cooling chip, the cooling fan, and the dehumidification device based on the sensor data to achieve closed-loop regulation of the environmental parameters of the storage area. The multi-source power supply module includes a main battery, a backup battery, an AC power interface for charging the battery, a solar charging interface, and an emergency charging interface, as well as a power management unit, which is used to automatically switch and allocate power sources according to the priority and status of available power sources. The intelligent management module includes an RFID reader / writer installed on the portable case, an RFID tag attached to the medical device, and a control and display unit for processing RFID data and interacting with the user. The RFID reader / writer reads the unique code in the RFID tag through object identification resolution technology and associates it with the background database to obtain the device information. The intelligent management module is used to automatically identify and record the identity information, access status and inventory quantity of medical devices in the storage area, and upload the generated management data to the biological and medical health big data sharing platform through the wireless communication module; The intelligent control module is communicatively connected to the intelligent management module, enabling the control unit to dynamically adjust the environmental parameter settings of the storage area according to the type of specific medical device currently stored and the storage requirements. The control unit has a built-in feedforward load compensation module based on RFID thermal property parameter mapping, used to eliminate the impact of differences in thermal inertia of medical devices on the stability of closed-loop control; the specific execution steps are as follows: The intelligent management module parses the RFID tags to obtain the unique code of each type of medical device in the storage area, and retrieves the individual mass of that type of device from the pre-set database. Specific heat capacity and packaging thermal conductivity correction factor ; The control unit is based on the law of conservation of energy and the mass of a single unit. Specific heat capacity and packaging thermal conductivity correction factor The target pulse width modulation duty cycle driving the semiconductor cooler at the current moment is periodically calculated using the following dynamic heat load balance formula. : in, This represents the total drive duty cycle for the current control cycle. This refers to the current real-time DC bus voltage of the multi-source power supply module. This is the rated maximum operating current of the thermoelectric cooler. For the semiconductor cooling chip to meet the current internal and external temperature difference The cooling energy efficiency ratio function under the following conditions; The overall heat transfer coefficient of the portable enclosure; The effective heat exchange surface area of ​​the portable enclosure; , These refer to the ambient temperature outside the box and the temperature of the storage area inside the box, respectively. The system's thermal response damping coefficient; The equivalent heat capacity of the inherent components and air within the storage area; , These are the number of types of medical devices and the number of... The number of such medical devices; , For respectively the first Individual mass and specific heat capacity of such instruments; For the first Thermal resistance correction factor for packaging materials of medical devices; The slope of the preset target temperature change trajectory; The feedback duty cycle component is calculated by the PID feedback control loop based on the real-time temperature error. The control unit utilizes the calculated The input power of the semiconductor cooling chip can be directly adjusted to match the total sensible heat load of the stored medical device with the leakage heat load of the enclosure in real time.

2. The intelligent medical device storage box based on RFID and multi-source environment according to claim 1, characterized in that, The control unit and the RFID reader / writer in the intelligent management module establish a bidirectional data communication link through a serial communication interface, specifically including: When the RFID reader reads the unique code information of the newly stored RFID tag of the medical device, the intelligent management module performs local parsing of the code; If the preset temperature and humidity storage requirements parameters for this device are stored locally, they can be directly retrieved. If the data is not stored locally, a query request is sent to the biological and medical health big data sharing platform via the wireless communication module to obtain the storage requirement parameters. Once the data acquisition is complete, the intelligent management module will send a data packet containing the target temperature value, target humidity value, and allowable fluctuation range to the control unit. After receiving and parsing the data packet, the control unit automatically updates the closed-loop control target values ​​of the temperature sensor and humidity sensor to values ​​that match the stored requirement parameters, and immediately starts the environmental control process based on the new target values.

3. The intelligent medical device storage box based on RFID and multi-source environment according to claim 1, characterized in that, The control unit stores an association mapping table, specifically including: The association mapping table uses the medical device category code as an index and stores the recommended upper and lower limits of the standard temperature setting range, the upper and lower limits of the standard humidity setting range, and the priority weight coefficients for all medical devices. The control unit receives in real time a list of category identifiers for all medical devices in the current storage area from the intelligent management module; The processor built into the control unit traverses the list and queries the associated mapping table to obtain the temperature and humidity setting range and weight corresponding to each type of instrument. The preset optimization algorithm is executed. The optimization algorithm takes the intersection of the setting ranges of all instruments as the constraint condition and the weight coefficient of each instrument as the optimization weight to calculate one or more sets of optimal temperature and humidity setting values. If there are multiple solutions, the set with the lowest energy consumption is selected as the execution target. The control unit generates a corresponding pulse width modulation signal based on the optimal temperature setpoint and the optimal humidity setpoint, and drives the semiconductor cooling chip, the cooling fan and the dehumidification device to work together to perform closed-loop control of the storage area environment.

4. The intelligent medical device storage box based on RFID and multi-source environment according to claim 1, characterized in that, The RFID reader of the intelligent management module reads the RFID tag of the medical device when it is stored or retrieved. The control and display unit records the unique code of the device, the storage and retrieval time and the operation type, and updates the inventory list in the storage area in real time. The updated inventory data and the device storage and retrieval event records are packaged and uploaded to the biological and medical health big data sharing platform through the wireless communication module.

5. The intelligent medical device storage box based on RFID and multi-source environment according to claim 1, characterized in that, The power management unit has a preset power priority order as follows: AC power interface, solar charging interface, main battery, backup battery, and emergency charging interface. The power management unit continuously monitors whether there is a valid voltage input at each power interface through the connected voltage and current detection circuit. At the same time, it monitors the real-time remaining power status of the main battery and backup battery through the battery management chip. When the monitoring logic determines that there is a power source with a higher priority than the current power supply, it generates a switching command and switches to the higher priority power source to supply power to the various power modules of the portable case. If the switched power source is an external charging power source, the power management unit simultaneously starts the corresponding constant current-constant voltage charging management program to replenish the rechargeable battery.

6. The intelligent medical device storage box based on RFID and multi-source environment according to claim 1, characterized in that, The power management unit is equipped with a power monitoring and switching strategy module, specifically including: When the main battery charge is lower than the first set threshold, the power management unit automatically switches to the backup battery for power supply. If the backup battery level is lower than the second preset threshold and no external power is connected, the power management unit will activate the low-power mode and trigger an alarm. When power is detected to be restored from any of the mains power, solar power, or emergency charging interface, the power management unit automatically switches to external power supply and executes the corresponding charging management program.

7. The intelligent medical device storage box based on RFID and multi-source environment according to claim 1, characterized in that, The control unit receives real-time detection data from the temperature and humidity sensors in the storage area and generates control commands based on preset temperature and humidity thresholds. The control commands are simultaneously sent to the semiconductor cooling chip, the cooling fan, and the dehumidification device to coordinately adjust the cooling power, the cold air flow rate, and the dehumidification air volume to maintain the dynamic balance of temperature and humidity in the storage area.

8. The intelligent medical device storage box based on RFID and multi-source environment according to claim 1, characterized in that, The control unit has built-in multi-level environmental control logic, specifically including: When the temperature sensor detects that the temperature of the storage area is higher than the preset target value, the control unit first activates the semiconductor cooling chip and the cooling fan to cool down the area. If the humidity sensor detects that the humidity exceeds the preset range at the same time, the dehumidification device will be started simultaneously to dehumidify, and the operating parameters of each actuator will be dynamically adjusted according to the real-time sensor feedback data until the temperature and humidity return to the set range.

9. The intelligent medical device storage box based on RFID and multi-source environment according to claim 3, characterized in that, The control unit is equipped with a dynamic diagnostic strategy for the thermal insulation integrity of the enclosure, used to identify the degradation of the enclosure's thermal insulation performance or sealing failure without additional physical testing equipment; specifically including: When the enclosure is in a temperature-maintaining state and the enclosure door is not opened, the control unit uses an RFID reader to count the total heat capacity of all medical devices in the current storage area and obtain the temperature difference between the current ambient temperature and the temperature inside the enclosure. The control unit combines the total heat capacity, temperature difference, and factory-preset standard heat leakage model to calculate the theoretical energy consumption required to maintain a constant temperature under the current operating conditions. The control unit samples the actual input power of the thermoelectric cooler in real time through the power management unit and calculates the average actual energy consumption within a preset time window; The deviation ratio between actual energy consumption and theoretical energy consumption is calculated. If the deviation ratio continuously exceeds the preset abnormal heat loss threshold, it is determined that the sealing strip of the portable case is aging or the insulation layer is damaged. The control unit immediately generates an insulation failure warning and uploads it to the big data platform through the wireless communication module, prompting maintenance personnel to maintain or replace the case.

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