Medical cold-chain logistics information management method and device, equipment and storage medium

Abstract

The invention relates to a medical cold chain logistics information management method, device and equipment and a storage medium, and the method comprises the following steps: collecting the temperature and humidity data of transported medical supplies through a sensor disposed in a cold chain box, and carrying out the correlation binding of the temperature and humidity data and the collection time, and obtaining a temperature and humidity time sequence table; performing information association on the unique identification code of the transported medical supplies based on the temperature and humidity time sequence table to obtain a supply association table; adding the real-time position of the cold chain box to the material association table to obtain logistics tracking table data; performing visual display on the logistics tracking table data to obtain a logistics tracking graph; the logistics tracking graph is subjected to multi-terminal distribution processing through the information pushing module, a real-time display interface is obtained, and the problems that medical supplies have extremely strict requirements for the temperature and humidity environment in the transportation process, once the medical supplies exceed the specified range, the medicine effect is reduced or even completely invalid, and the life safety of patients is threatened when the medical supplies exceed the specified range are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of logistics, and in particular to a medical cold-chain logistics information management method, device, equipment and storage medium. BACKGROUND

[0002] With the rapid development of modern medical technology and the continuous improvement of people's demand for health, various temperature-sensitive medical supplies such as vaccines, blood products, biological agents and some drugs have become increasingly important in clinical application and public health system. These medical supplies have extremely strict requirements for temperature and humidity environment during transportation. Once out of the specified range, it will lead to reduced drug efficacy or even complete failure, and in severe cases, it will threaten the safety of patients' lives. SUMMARY

[0003] The present application aims to at least solve one of the technical problems existing in the prior art. To this end, the present application proposes a medical cold-chain logistics information management method, device, equipment and storage medium.

[0004] The technical solution adopted by the present application is: On the one hand, the present application embodiment includes a medical cold-chain logistics information management method, comprising the following steps: Collecting temperature and humidity data of the transported medical supplies by the sensor built-in the cold-chain box, and associating and binding the temperature and humidity data with the collection time to obtain a temperature and humidity time sequence table; Based on the temperature and humidity time sequence table, information association is performed on the unique identification code of the transported medical supplies to obtain a material association table; Adding the real-time location of the cold-chain box to the material association table to obtain logistics tracking table data; Visualizing the logistics tracking table data to obtain a logistics tracking graph; Performing multi-end distribution processing on the logistics tracking graph by an information pushing module to obtain a real-time display interface.

[0005] Further, the collecting temperature and humidity data of the transported medical supplies by the sensor built-in the cold-chain box, and associating and binding the temperature and humidity data with the collection time to obtain a temperature and humidity time sequence table, comprises: Collecting temperature and humidity data inside the cold-chain box where the transported medical supplies are located by the temperature and humidity sensor built-in the cold-chain box, and matching and marking the time stamp when collecting based on the temperature and humidity data to obtain time-stamped temperature and humidity data; Screening abnormal values in the time-stamped temperature and humidity data to obtain effective temperature and humidity data, and sorting and structurally integrating the effective temperature and humidity data according to the collection order to obtain a temperature and humidity time sequence table.

[0006] Further, the unique identification code of the transported medical material is information associated based on the temperature and humidity time sequence table to obtain a material association table, including: The unique identification code of the transported medical material is scanned and read to generate an original encoding text, and the original encoding text is field expanded to obtain an expanded encoding framework; Based on the temperature and humidity time sequence table, key data is extracted and converted according to the field format of the expanded encoding framework to obtain encoding adaptation data; The encoding adaptation data is filled into the reserved field of the expanded encoding framework to obtain a temperature and humidity code, and the temperature and humidity code is structured and arranged to obtain a material association table.

[0007] Further, the real-time position of the cold chain box is added to the material association table to obtain logistics tracking table data, including: The cold chain box is positioned and collected by a positioning module of the cold chain box to obtain original position data, and the original position data is attached with a positioning module number and a collection timestamp to obtain identified position data; Based on the collection timestamp of the identified position data, the temperature and humidity time sequence data in the material association table is timestamp matched to filter out temperature and humidity data at the same timestamp to obtain time-aligned data, and the positioning module ID in the time-aligned data and the cold chain box equipment ID in the material association table are consistency checked to obtain checked data; The checked data is subjected to integrity verification, and missing position or temperature and humidity fields are supplemented to obtain complete association data, and the complete association data is integrated into the corresponding position field of the material association table in chronological order to obtain logistics tracking table data.

[0008] Further, the logistics tracking table data is visually displayed to obtain a logistics tracking graph, including: Based on the logistics tracking table data, time dimension, temperature and humidity values, and position coordinates are extracted to obtain multidimensional display data, and the multidimensional display data is classified and marked according to data types to obtain classified and marked data; The classified and marked data is time axis sorted by time labels in the classified and marked data to obtain time sequence arrangement data, and path trajectory lines are generated based on the position coordinates in the time sequence arrangement data to obtain trajectory line data; Based on the temperature and humidity values in the time sequence arrangement data, a temperature and humidity change curve is generated to obtain curve data, and the curve data and the trajectory line data are time axis aligned and superimposed to obtain a logistics tracking graph.

[0009] Further, the multi-end distribution processing of the logistics tracking graph by the information pushing module obtains a real-time display interface, comprising: The medical material type associated with the logistics tracking graph is matched and classified with the type of the preset receiving end to obtain an end type classification table, and the receiving end configuration information in the end type classification table is extracted; The logistics tracking graph is size-adapted and format-converted based on the receiving end configuration information to obtain an end-adapted image, and the receiving end unique identifier is attached to the end-adapted image to obtain an image with identifier; The image with identifier is distributed by the information pushing module according to the receiving end identifier to obtain a distribution record, and the receiving feedback information in the distribution record is checked to obtain a checking result, which is synchronized with the image with identifier on the corresponding receiving end to obtain a real-time display interface.

[0010] Further, the real-time display interface obtained by synchronously displaying the checking result and the image with identifier on the corresponding receiving end comprises: The checking result is classified by state to obtain a state identifier, and the state identifier is superimposed on the image with identifier to obtain a superimposed image, wherein the state identifier includes a receiving success mark, a receiving timeout mark and a receiving failure mark; The picture boundary parameters in the superimposed image are extracted, the display coordinates of the image with identifier are boundary-verified based on the picture boundary parameters to obtain checking coordinates, and the image with identifier is repositioned based on the state identifier and the checking coordinates until the state identifier displays the success mark, thereby obtaining an adapted image; The adapted image is pixel-rendered by the display module of the receiving end to obtain an initial picture, and a click trigger area is added to the state identifier in the initial picture to obtain a real-time display interface.

[0011] The application also provides a medical cold chain logistics information management device, comprising: The acquisition module is used for acquiring temperature and humidity data of the transported medical materials by the sensors built in the cold chain box, and binding the temperature and humidity data with the collected time to obtain a temperature and humidity time sequence table; The association module is used for information association of the unique identifier code of the transported medical materials based on the temperature and humidity time sequence table to obtain a material association table; The adding module is used for adding the real-time position of the cold chain box to the material association table to obtain logistics tracking table data; The display module is used for visual display of the logistics tracking table data to obtain a logistics tracking graph; A distribution module is configured to perform multi-terminal distribution processing on the logistics tracking graph by the information pushing module to obtain a real-time display interface.

[0012] The application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method.

[0013] The application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the method.

[0014] The application provides a medical cold chain logistics information management method, comprising the following steps: collecting temperature and humidity data of transported medical supplies through a sensor built in a cold chain box, and associating and binding the temperature and humidity data with the collection time to obtain a temperature and humidity time sequence table; performing information association on a unique identification code of the transported medical supplies based on the temperature and humidity time sequence table to obtain a material association table; adding a real-time position of the cold chain box to the material association table to obtain logistics tracking table data; performing visual display on the logistics tracking table data to obtain a logistics tracking graph; and performing multi-terminal distribution processing on the logistics tracking graph by an information pushing module to obtain a real-time display interface, which solves the problem that medical supplies have extremely strict requirements on temperature and humidity environments during transportation, and once the requirements are exceeded, the drug efficacy will be reduced or even completely invalid, and in serious cases, the patient's life safety will be threatened, and the technical effect of accurately tracing the temperature and humidity changes of each batch of medical supplies during the entire transportation process is achieved, and the quality control capability of the transportation process is enhanced. BRIEF DESCRIPTION OF DRAWINGS

[0015] The above and / or additional aspects and advantages of the application will become apparent and be readily understood from the following description, taken in conjunction with the following drawings, in which: Figure 1 A step flow chart of the medical cold chain logistics information management method in the embodiment of the application; Figure 2 A structure block diagram of the medical cold chain logistics information management device in the embodiment of the application; Figure 3 A structure schematic block diagram of a computer device in an embodiment of the application.

[0016] The purposes, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0017] Embodiments of the present application are described below in detail with reference to the accompanying drawings, wherein the same or similar components are denoted by the same or similar reference numerals throughout the drawings. The embodiments described below are exemplary only, and are used to explain the present application, and should not be understood as limiting the present application.

[0018] In the description of the present application, it should be understood that the orientation description, such as the orientation or position relationship indicated by up, down, front, back, left, right, etc. is based on the orientation or position relationship shown in the drawings, and is only for the purpose of facilitating the description of the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0019] In the description of the present application, the meaning of several is one or more, and the meaning of multiple is two or more. Greater than, less than, more than, etc. are understood as not including the number, and above, below, etc. are understood as including the number. If the first and the second are described, they are only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the order of technical features indicated.

[0020] In the description of the present application, unless otherwise explicitly limited, the words such as setting, installing, connecting, etc. should be understood in a broad sense, and the person skilled in the art can reasonably determine the specific meaning of the above words in the present application in combination with the specific content of the technical solution.

[0021] The embodiments of the present application are further described below with reference to the accompanying drawings.

[0022] Referring to Figure 1 The medical cold chain logistics information management method provided by the embodiments of the present application comprises the following steps: In step S1, the temperature and humidity data of the transported medical supplies are collected by the sensors built in the cold chain box, and the temperature and humidity data are associated and bound with the collected time to obtain a temperature and humidity time sequence table.

[0023] Specifically, the temperature and humidity data of the transported medical supplies are collected by the sensors built in the cold chain box, and the temperature and humidity data are associated and bound with the collected time to obtain a temperature and humidity time sequence table. The specific implementation manner of this step is: a temperature and humidity sensor with high-precision measurement capability is fixedly installed inside the cold chain box. The sensor starts a continuous monitoring mode after the medical supplies are boxed, automatically reads the temperature value and humidity value of the current environment according to a preset time interval (for example, every 5 minutes), synchronously obtains the system time as a collection time stamp, then stores each group of data records containing temperature data, humidity data and corresponding time stamps in a structured format in a local data storage unit in the cold chain box, arranges the data sets formed by multiple continuous collection periods in a time sequence manner, and thus forms the temperature and humidity time sequence table; the table is indexed by time, ensuring that each item of temperature and humidity data can be traced back to a specific collection time. For example, in the process of transporting a batch of vaccines, the sensor records that the temperature in the box is 4.2℃ and the humidity is 58% at 10:00 on August 27, 2025, the time stamp is marked as "2025-08-27 10:00", the next record is 4.1℃ and 57% at 10:05, and the time stamp is "2025-08-27 10:05". The temperature and humidity data are continuously collected and bound with time information, and finally a complete and orderly temperature and humidity change sequence is formed, providing an accurate data basis for subsequent information association with the unique identification code of the medical supplies.

[0024] In step S2, the unique identification code of the transported medical supplies is associated with information based on the temperature and humidity time sequence table, and a material association table is obtained.

[0025] Specifically, the unique identification code of the transported medical material is information-associated based on the temperature and humidity time sequence table to obtain a material association table. The specific implementation manner of this step is as follows: after the medical material is packed, the unique identification code (such as a two-dimensional code or an RFID tag) on the outer packaging of each medical material is scanned or read, the unique identification code is bound to the cold chain box number corresponding to the current transportation task, and the binding relationship is uploaded to the background management system. When the temperature and humidity time sequence table is generated, the system maps all the temperature and humidity time sequence table data collected in the cold chain box to the bound medical material unique identification code according to the cold chain box number as an association key, so that each temperature and humidity record corresponds to not only the environmental parameters at a specific time point, but also a specific medical material individual, thereby forming a material association table including fields such as a unique identification code, a time stamp, a temperature value, and a humidity value. For example, when a batch of vaccines with a unique identification code “VAC20250827001” is transported, the system binds the identification code to the cold chain box number “CBX-045” that loads the vaccines in the background. When the temperature and humidity time sequence table of the box is generated during transportation, the system automatically associates all the temperature and humidity data in the table from 10:00 to 15:00 on August 27, 2025 with the unique identification code “VAC20250827001”. Each record in the finally generated material association table is in the form of “VAC20250827001|2025-08-27 10:00|4.2℃|58%”, and the like, thereby realizing deep integration of the material identity and environmental data.

[0026] Step S3: adding the real-time position of the cold chain box in the material association table to obtain logistics tracking table data.

[0027] Specifically, the real-time location of the cold chain box is added to the material association table to obtain logistics tracking data. This step is implemented by integrating a positioning module with GPS or BeiDou positioning capabilities inside the cold chain box. This module continuously acquires the current geographic coordinates of the cold chain box at the same or independent time interval as the sensors, and uploads the latitude and longitude data and corresponding timestamps acquired each time to the background data processing system. After receiving the positioning data, the system uses the timestamp as a matching benchmark to fuse the real-time location information of the cold chain box at the same or closest time point with the corresponding records in the material association table. This results in each record containing a unique medical supply identifier, temperature value, humidity value, and timestamp, along with corresponding geographic location information, thereby expanding and generating... Complete data entries, including unique identifiers, timestamps, temperature and humidity data, and real-time location, form the logistics tracking table data. For example, during the transportation of vaccines with the unique identifier "VAC20250827001", when the system obtains a record in the material association table at 10:00 on August 27, 2025, showing a temperature of 4.2℃ and humidity of 58%, and simultaneously receives from the positioning module the real-time location of the cold chain box at that moment as 39.9042°N, 116.4074°E, which is near a logistics transfer station in Beijing, the system binds this location information with the above record to generate a complete tracking data entry containing location coordinates. Subsequent data at all time points are continuously overlaid with location information in this way to ensure that the entire transportation route is traceable.

[0028] Step S4: Visualize the data in the logistics tracking table to obtain a logistics tracking chart.

[0029] Specifically, during the logistics tracking process, all recorded medical supply information is sent to the data display platform via a communication module. Upon receiving this information, the platform sorts each record according to time sequence and parses out the unique identifier of the medical supply, temperature and humidity values, collection time, and the location information of the cold chain container. Then, using map services, the location information is converted into specific coordinates on a visual map, and lines are used to connect the locations at different times to form the transportation path of the cold chain container. Simultaneously, temperature and humidity data are displayed in chart form on a timeline, allowing users to clearly see the relationship between cargo movement and changes in environmental parameters. Throughout the process, for example, when transporting a certain vaccine, if the logistics information shows that the supplies have moved from one location to another and the temperature has changed, the system will mark these two locations on the map and connect them with a line, while simultaneously plotting the temperature and humidity change curves on the corresponding positions on the timeline below. In this way, users can intuitively understand the vaccine's transportation route and the environmental conditions along each segment by viewing a logistics tracking map that integrates geographical trajectory, time progress, and environmental conditions, achieving full-process visual monitoring.

[0030] Step S5: The logistics tracking map is distributed to multiple terminals through the information push module to obtain a real-time display interface.

[0031] Specifically, the logistics tracking map is distributed to multiple terminals via an information push module to obtain a real-time display interface. This step is implemented as follows: After the logistics tracking map is generated, the information push module automatically detects and identifies multiple authorized terminal devices via network connection. These terminals include the monitoring screen in the management backend, mobile devices used by logistics personnel, computer terminals in medical institutions, and pharmaceutical company monitoring platforms. The information push module encapsulates the newly generated logistics tracking map in the form of a data stream or image file and transmits it through a secure communication protocol to ensure the integrity and real-time nature of the data during distribution. Each terminal receives the pushed content... The system automatically parses and loads the logistics tracking map, displaying the current transportation status on each user's interface, enabling synchronized updates across multiple devices. For example, during the transportation of a batch of vaccines, if the location or temperature and humidity of the cold chain container changes, the backend system generates an updated logistics tracking map. The information push module then triggers a push mechanism to simultaneously send the map to the monitoring screen of the CDC, the tablet device of the transport driver, and the information terminal of the receiving hospital. Relevant personnel can view the latest transportation route, changes in environmental parameters, and expected arrival status on their respective device interfaces, thus forming a unified and real-time display interface to ensure timely understanding and collaborative response of all parties during the transportation process.

[0032] In a specific scenario, the temperature and humidity data of transported medical supplies are collected by sensors built into the cold chain container, and the temperature and humidity data are correlated and bound with the collection time to obtain a temperature and humidity time series table, including: The temperature and humidity data inside the cold chain box containing the transported medical supplies are collected by the temperature and humidity sensor built into the cold chain box, and the timestamp of the collection time is matched and labeled based on the temperature and humidity data to obtain time-stamped temperature and humidity data. Outliers in the time-stamped temperature and humidity data are filtered out to obtain valid temperature and humidity data. The valid temperature and humidity data are then sorted and structured according to the collection order to obtain a temperature and humidity time series table.

[0033] Specifically, temperature and humidity data inside the cold chain container, where the transported medical supplies are stored, are collected by temperature and humidity sensors built into the container. The data is then matched with a timestamp at the time of collection to obtain time-stamped temperature and humidity data. In practice, when the cold chain transportation process begins, the temperature and humidity sensors inside the container are ensured to be operational. These sensors monitor real-time changes in temperature and humidity within the container. As transportation progresses, the sensors automatically record the current temperature and humidity values ​​at preset time intervals. Simultaneously, each temperature and humidity data point corresponds to a timestamp accurate to the second, marking the exact moment the data was collected. This creates temperature and humidity records with specific time information – time-stamped temperature and humidity data. For example, when transporting a batch of vaccines requiring strictly controlled storage conditions, whenever the temperature or humidity inside the container changes, the sensors immediately capture this change and convert it into an electrical signal. The system then converts this signal into specific temperature and humidity values, along with the current time information. This ensures that each temperature and humidity data point possesses both time and status information, facilitating subsequent analysis and processing. The next step involves filtering outliers from the time-stamped temperature and humidity data to obtain valid temperature and humidity data. This valid data is then sorted and structured according to the collection order to create a temperature and humidity time-series table. The key is identifying and removing erroneous data points that do not reflect reality or are caused by equipment malfunctions. This process begins by setting reasonable threshold ranges to define normal and abnormal temperature and humidity values. These ranges are typically determined based on the specific requirements of the transported goods and the changing patterns of environmental conditions. Data exceeding these ranges is considered outlier and excluded to ensure that the remaining data reflects the true environmental conditions. Next, these valid data points are arranged chronologically according to their collection time to ensure continuity and logic. Finally, this ordered temperature and humidity data is integrated into a structured table. This table not only includes the temperature and humidity values ​​at each time point but may also include other relevant information such as geographical location and transportation stage to provide a more comprehensive understanding of environmental trends throughout the transportation process. For example, in the vaccine transportation case mentioned above, if the recorded temperature suddenly rises abnormally at a certain moment, far exceeding the pre-set safety range, this can be identified as an outlier. This outlier could be due to a brief door opening or a temporary sensor malfunction. After filtering, this outlier is removed from the raw data. The stable and expected data is then used to construct a temperature and humidity time-series table. This table clearly shows the various temperature and humidity fluctuations the vaccine experiences throughout the transportation process, which is crucial for assessing transportation safety. This approach not only ensures the accuracy and reliability of the data but also provides a solid foundation for subsequent quality traceability.

[0034] In a specific scenario, the process of associating the unique identifier of the transported medical supplies with the temperature and humidity time series table to obtain a supplies association table includes: The unique identification code of the transported medical supplies is scanned and read to generate the original encoded text. The fields of the original encoded text are then expanded to obtain the extended encoding framework. Key data is extracted based on the temperature and humidity time series table, and the key data is converted according to the field format of the extended coding framework to obtain the coding-adapted data. The encoding adaptation data is filled into the reserved fields of the extended encoding framework to obtain the temperature and humidity code, and the temperature and humidity code is structured to obtain the material association table.

[0035] Specifically, the unique identification code of the transported medical supplies is scanned to generate original coded text, and the original coded text is then expanded to obtain an extended coding framework. In actual operation, when the medical supplies are about to be loaded into the cold chain box, the operator uses a device with barcode scanning function to scan the unique identification code on the outer packaging of each piece of medical supplies. This unique identification code usually exists in the form of a QR code or barcode. After scanning, the system automatically parses out the original coding information contained therein, forming original coded text. This text records the basic identification information of the batch of supplies, such as product type, batch number, and production date. The system then expands the original encoded text according to preset data structure rules, adding several reserved fields to the original encoding structure. These new fields are used to fill in environmental data related to the transportation process, thus constructing an expanded encoding framework that contains original information and future data space. For example, when transporting a batch of vaccines that need to be stored at low temperatures, the original encoded text may only contain vaccine type and batch information. After field expansion, the expanded encoding framework adds reserved fields such as time period, temperature value, and humidity value for recording temperature and humidity data, preparing for subsequent data embedding. Based on the aforementioned temperature and humidity time series table, key data is extracted and converted according to the field format of the extended coding framework to obtain coded and adapted data. During cold chain transportation, the system continuously generates a temperature and humidity time series table, which records all validly collected temperature and humidity data and their corresponding time points from departure to destination. When information association is required, the system extracts key data segments from the temperature and humidity time series table that match the transportation period of the batch of goods. These data include core parameters such as temperature change curves, maximum temperature, minimum temperature, and average humidity within a specific time period. Then, the system formats and converts these key data according to the field format specified by the extended coding framework to ensure that they are consistent with the requirements of the reserved fields in terms of data type, unit, and precision, thereby generating coded and adapted data. For example, if the extended coding framework requires the temperature field to be represented in the form of one decimal place, the system will uniformly convert the original temperature and humidity data into this precision format to ensure that the data can be accurately filled in.The system fills the code adaptation data into the reserved fields of the extended coding framework to obtain a temperature and humidity code. This temperature and humidity code is then structured to create a material association table. After data conversion, the system automatically fills the code adaptation data into the corresponding reserved fields of the extended coding framework, forming a complete coded entity that integrates material identity information and transportation environment data—the temperature and humidity code. This code not only retains the original identity identification function but also embeds key temperature and humidity information from the transportation process, facilitating subsequent traceability and verification. Finally, the system performs unified structured organization on multiple temperature and humidity codes, categorizing them by time, batch, or transportation task to form a table containing multi-dimensional information such as the material's unique identifier, environmental parameters, and collection time—the material association table. For example, in the vaccine transportation scenario described above, the final generated material association table clearly displays the temperature and humidity changes of the batch of vaccines at each stage of the entire transportation process, tightly bound to its unique identifier, achieving fully traceable and verifiable data management.

[0036] In a specific scenario, adding the real-time location of the cold chain box to the material association table to obtain logistics tracking table data includes: The cold chain box is located and its position is collected by the positioning module of the cold chain box to obtain the original position data. The positioning module number and the collection timestamp are added to the original position data to obtain the identified position data. Based on the collection timestamp of the identified location data, the temperature and humidity time series data in the material association table are matched with timestamps, and the temperature and humidity data under the same timestamp are filtered out to obtain time-aligned data. The consistency of the positioning module ID in the time-aligned data with the cold chain box equipment ID in the material association table is verified to obtain the verified data. The verified data is then subjected to integrity verification. Missing location or temperature and humidity fields are supplemented to obtain complete associated data. The complete associated data is then integrated into the corresponding location fields of the material association table in chronological order to obtain the logistics tracking table data.

[0037] Specifically, the positioning module of the cold chain box collects location data, obtaining raw location data. This raw location data is then appended with the positioning module number and a collection timestamp to obtain identifiable location data. During cold chain transportation, each cold chain box integrates a positioning module. This module continuously receives signals from satellites or base stations to determine the current geographical location of the cold chain box. Each positioning operation generates a set of raw location data, including latitude and longitude coordinates. Simultaneously, the system automatically appends two key pieces of information to this raw location data: a unique identifier for the positioning module itself, used to identify the data source device; and a precise timestamp when the location information was collected, ensuring that each location record has a traceable time stamp, thus forming identifiable location data. For example, when transporting a batch of vaccines with extremely high temperature control requirements, each time the positioning module acquires a location, the system binds it with the module number and time information to ensure accurate identification of the data's source and timeliness during subsequent processing. Based on the timestamp of the identified location data, the temperature and humidity time-series data in the material association table are matched with timestamps. Temperature and humidity data under the same timestamp are filtered out to obtain time-aligned data. The consistency of the positioning module ID in the time-aligned data with the cold chain box equipment ID in the material association table is verified to obtain verified data. In the system background, the identified location data is sent to the data processing flow. First, it is compared with the temperature and humidity data recorded in the material association table in terms of time dimension based on its timestamp. The system searches for the temperature and humidity record in the material association table that is completely consistent with or closest to the timestamp of the location data to achieve precise time alignment and form a set of data combination that contains both location and environmental parameters, i.e., time-aligned data. Subsequently, the system further checks whether the positioning module ID in the data combination matches the cold chain box equipment ID recorded in the material association table. Because the positioning module number of each cold chain box should have a preset binding relationship with its equipment ID, if the two match, it means that the data source is legal and the attribution is correct. If they do not match, they are considered abnormal data and are marked or removed, thereby ensuring the reliability of the data chain and obtaining verified data.The system performs integrity verification on the validated data, supplementing missing location or temperature and humidity fields to obtain complete associated data. This complete associated data is then integrated into the corresponding location fields of the material association table in chronological order to obtain logistics tracking table data. After completing time alignment and identity verification, the system performs integrity checks on each validated data entry to determine if there are instances where a location exists without temperature and humidity, or vice versa. If missing fields are found, they are supplemented through data interpolation or by calling historical cached data to ensure that each record has complete environmental and location information, forming complete associated data. Finally, the system inserts or updates these complete associated data entries into the reserved location fields of the material association table in chronological order of collection time. This expands the table, which originally only contained temperature, humidity, and material information, into a multi-dimensional data set encompassing geographical location, environmental status, time progress, and material identity, ultimately generating logistics tracking table data. For example, in the aforementioned vaccine transportation scenario, once the system successfully embeds the latitude and longitude information of a certain time period into the corresponding material record, every node along the entire transportation path has location coordinates and temperature and humidity status, realizing a transformation from static information management to dynamic, full-process tracking.

[0038] In a specific scenario, the visualization of the logistics tracking table data to obtain a logistics tracking chart includes: Based on the data from the logistics tracking table, the time dimension, temperature and humidity values, and location coordinates are extracted to obtain multidimensional display data. The multidimensional display data is then classified and labeled according to data type to obtain classified and labeled data. The classification label data is sorted along a time axis by time tags in the classification label data to obtain time-series data, and a path trajectory line is generated based on the position coordinates in the time-series data to obtain trajectory line data. Based on the temperature and humidity values ​​in the time-series data, a temperature and humidity change curve is generated to obtain curve data. The curve data is then aligned and superimposed with the trajectory line data on the time axis to obtain a logistics tracking map.

[0039] Specifically, based on the data from the logistics tracking table, the system extracts the time dimension, temperature and humidity values, and location coordinates to obtain multi-dimensional display data. This multi-dimensional display data is then categorized and labeled according to data type, resulting in categorized and labeled data. During the logistics tracking graph generation process, key information elements are first extracted from the constructed logistics tracking table data. These elements include the recorded time dimension, the corresponding temperature and humidity values, and the geographical coordinates of the cold chain container at each time point. The system integrates this raw data into a set of multi-dimensional display data that can be used for graphical presentation. Subsequently, to facilitate subsequent processing and visualization rendering, the system categorizes and labels the multi-dimensional display data according to the data's attribute categories. For example, time information is labeled as time tags, temperature and humidity values ​​are categorized as environmental parameter tags, and latitude and longitude coordinates are categorized as spatial location tags. This categorization and labeling method allows different types of data to be accurately identified and retrieved in subsequent processes, forming clearly structured categorized and labeled data. For example, when transporting a batch of vaccines requiring temperature control throughout the process, the system extracts the time point of each record, the temperature and humidity values ​​at that time, and the location of the cold chain container from the logistics tracking table, and labels them accordingly, laying the foundation for subsequent graph generation. The system sorts the categorized data along a timeline using time tags to obtain chronologically ordered data. Based on the location coordinates in this chronologically ordered data, a path trajectory line is generated, resulting in trajectory line data. After data classification, the system arranges all categorized data according to the chronological order of collection time, using time tags as a reference, ensuring the continuity and logic of the data in the time dimension, thus forming chronologically ordered data. On this basis, the system calls a map service interface to map each location coordinate in the chronologically ordered data to the corresponding geographic point on an electronic map, and connects adjacent time points with lines, thereby depicting the complete movement path of the cold chain container from its origin to its destination. This path is presented as a visual trajectory line, which is the trajectory line data. This trajectory line not only reflects the direction of the transportation route but also reflects situations such as stops, detours, or abnormal deviations during transportation, enhancing the spatial perception capability of the transportation process.Based on the temperature and humidity values ​​in the time-series data, a temperature and humidity change curve is generated, resulting in curve data. This curve data is then overlaid with the trajectory line data on the time axis to obtain a logistics tracking map. The system continues to use the temperature and humidity values ​​in the time-series data to draw temperature and humidity trend curves that change over time below the time axis or in a separate chart area, forming curve data. This curve can intuitively show the fluctuations of environmental parameters during transportation, such as whether there are excessive temperatures or abnormal humidity. Subsequently, the system strictly aligns the generated curve data with the trajectory line data on the map on the time axis to ensure that the location movement at a certain moment is visually synchronized with the temperature and humidity status at that moment. Finally, the two are integrated into the same display interface to form a comprehensive logistics tracking map that integrates geographical path, time process, and environmental status. For example, in the vaccine transportation scenario mentioned above, when viewing the logistics tracking map, one can simultaneously see the route of the cold chain box as it passes through different areas, as well as the temperature and humidity change trends inside the box within the same time period, achieving three-dimensional and visual monitoring of the entire transportation process.

[0040] In a specific scenario, the step of distributing the logistics tracking map across multiple terminals via the information push module to obtain a real-time display interface includes: The medical supplies types associated with the logistics tracking map are matched and classified with the preset receiving terminal types to obtain a terminal type classification table, and the receiving terminal configuration information in the terminal type classification table is extracted. Based on the receiving end configuration information, the logistics tracking image is adapted to the size and converted to the format to obtain an end-adapted image. A unique receiver identifier is then added to the end-adapted image to obtain an identifiable image. The information push module distributes the tagged image according to the receiver's identifier to obtain a distribution record. The receiving feedback information in the distribution record is verified to obtain a verification result. The verification result and the tagged image are then displayed synchronously on the corresponding receiver to obtain a real-time display interface.

[0041] Specifically, the types of medical supplies associated with the logistics tracking map are matched and classified with the preset types of receiving terminals to obtain a terminal type classification table, and the receiving terminal configuration information in the terminal type classification table is extracted. After the logistics tracking map is generated, in order to achieve effective multi-terminal distribution processing, it is first necessary to determine the appropriate receiving terminal type for the specific types of medical supplies involved in the logistics tracking map. For example, some highly sensitive drugs may require more specialized medical institutions or regulatory departments for monitoring, while conventional medical supplies can be opened to a wider range of receiving terminals. By comparing the characteristics of the supplies recorded in the logistics tracking map with the preferences and needs of different preset receiving terminal types in the system, the two are matched and classified to form a detailed terminal type classification table. This table not only clarifies which receiving terminals each type of supply should be sent to, but also includes the specific configuration requirements of each receiving terminal, such as screen resolution, operating system, etc., providing a basis for subsequent image adaptation. Based on the receiver configuration information, the logistics tracking image is adapted to the desired size and converted to a new format to obtain an end-adapted image. A unique receiver identifier is then added to this end-adapted image to create an identifiable image. After end-type classification, the original logistics tracking image is customized based on the extracted receiver configuration information. This includes, but is not limited to, adjusting the image's aspect ratio to fit different device screens and converting the file format to one supported by the receiver, ensuring seamless viewing for all users. Through these operations, an end-adapted image is generated that meets the specific needs of each receiver. To facilitate management and tracking of each sent image, a unique receiver identifier is added to these images. This step not only helps clarify the destination of each image but also plays a crucial role in subsequent information feedback, ensuring accurate management of each data stream even with numerous different receivers.The information push module distributes the tagged images according to the receiver identifier, obtaining a distribution record. The receiving feedback information in the distribution record is then verified to obtain a verification result. This verification result, along with the tagged image, is synchronously displayed on the corresponding receiver, resulting in a real-time display interface. Once all end-adapted images are ready, the information push module accurately pushes the tagged images to the designated target locations according to the pre-assigned receiver identifiers. Each successful push automatically generates a distribution record, detailing important information such as the sending time, destination, and content summary. During this process, the receiver typically has a confirmation receipt mechanism upon receiving the image to verify whether the image has arrived completely and correctly. Once the system receives such feedback, it immediately verifies it to determine if any anomalies have occurred. If everything is normal, the verification result, along with the original tagged image, is displayed again to the corresponding receiver. This ensures that the receiver not only receives the latest logistics tracking image in a timely manner but also understands the security and reliability of the entire transmission process. For example, when transporting a batch of urgently needed vaccines, this method allows relevant departments to monitor the cargo status in real time, ensuring transportation safety.

[0042] In a specific scenario, the step of synchronously displaying the verification result and the labeled image on the corresponding receiving end to obtain a real-time display interface includes: The verification results are classified into status identifiers to obtain status identifiers. The status identifiers are then overlaid with the labeled images to obtain an overlaid image. The status identifiers include a successful reception flag, a timeout reception flag, and a failed reception flag. Extract the image boundary parameters from the superimposed image, perform boundary verification on the display coordinates of the labeled image based on the image boundary parameters to obtain the verification coordinates, and reposition the labeled image based on the status label and the verification coordinates until the status label is successfully displayed to obtain the adapted image. The receiving end's display module performs pixel rendering on the adapted image to obtain an initial screen, and adds a click trigger area to the status markers in the initial screen to obtain a real-time display interface.

[0043] Specifically, the verification results are classified into status identifiers, and these status identifiers are overlaid with the labeled images to obtain an overlaid image. The status identifiers include a successful reception flag, a timeout flag, and a failed reception flag. After information is pushed, the system analyzes the received feedback information and determines the image transmission status based on the feedback content. If the receiving end returns an acknowledgment signal within a specified time and the data is complete, it is classified as a successful reception flag. If no response is received after a set time, it is marked as a timeout flag. If an error message or data corruption information is received, it is determined as a failed reception flag. These status identifiers are generated in the form of graphical labels and overlaid with the pushed labeled images in the image processing layer. Typically, the status identifiers are placed in a fixed area at the corner or top of the image to form an overlaid image containing logistics tracking information and transmission status prompts, making it easy to identify the communication status at a glance during subsequent display. The system extracts the image boundary parameters from the overlay image, performs boundary verification on the display coordinates of the labeled image based on these parameters, obtains verification coordinates, and repositions the labeled image based on the status marker and the verification coordinates until the status marker displays a successful display, thus obtaining the adapted image. After generating the overlay image, the system automatically reads the boundary parameters of the overall image, including the image width, height, and relative positions of each element. These parameters are used to perform boundary verification on the coordinate position of the status marker in the image to prevent it from exceeding the visible range or obscuring key information areas. If an abnormal position or overlapping interference is found, the status marker is dynamically adjusted according to the verification coordinates, for example, by slightly moving it to the upper left corner or reducing its size, to ensure that it is clearly visible and does not affect the main content of the logistics tracking image. This process continues until the status marker correctly displays a successful reception mark, indicating that the current image is in a stable display state. The image formed at this time is the adapted image, which has a complete visual structure and accurate status feedback. The receiving end's display module performs pixel rendering on the adapted image to obtain an initial screen. A click-triggered area is added to the status markers in this initial screen to create a real-time display interface. After the adapted image is transmitted to the receiving end, the device's display module performs pixel-level rendering, converting the image data into a visually recognizable image on the screen, forming the initial screen. Based on this screen, the system further embeds an interactive click-triggered area in the area where the status markers are located. Users can click on this area to view detailed additional information such as reception time, network status, and data integrity reports, thus upgrading from static display to dynamic interaction. The resulting real-time display interface not only intuitively presents the transportation path and environmental status of medical supplies but also allows for the interactive acquisition of detailed logs of the communication process. For example, during the transportation of a batch of vaccines, hospital receiving personnel can click on the green "received successfully" marker on the interface to view the complete transmission record of the batch's logistics tracking chart, ensuring that the information is reliable, visible, and traceable.

[0044] The above describes the medical cold chain logistics information management method in the embodiments of the present invention. The following describes the medical cold chain logistics information management device in the embodiments of the present invention. Please refer to [link / reference]. Figure 2 One embodiment of the medical cold chain logistics information management device of the present invention includes: The data acquisition module 21 is used to acquire temperature and humidity data of transported medical supplies through the sensors built into the cold chain box, and to associate and bind the temperature and humidity data with the acquisition time to obtain a temperature and humidity time series table. The association module 22 is used to associate information with the unique identifier of the transported medical supplies based on the temperature and humidity time series table to obtain a supplies association table; Add module 23, used to add the real-time location of the cold chain box to the material association table to obtain logistics tracking table data; Display module 24 is used to visualize the data in the logistics tracking table to obtain a logistics tracking chart; The distribution module 25 is used to distribute the logistics tracking map to multiple terminals through the information push module to obtain a real-time display interface.

[0045] In this embodiment, the specific implementation of each unit in the above device embodiment is described in the above method embodiment, and will not be repeated here.

[0046] like Figure 3 As shown, this embodiment of the invention provides a medical cold chain logistics information management device, comprising: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the above-described medical cold chain logistics information management method.

[0047] It is evident that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented in the present device embodiments are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0048] Furthermore, this application also discloses a computer program product or computer program stored in a computer-readable storage medium. The processor of a computer device can read the computer program from the computer-readable storage medium and execute the computer program, causing the computer device to perform the aforementioned medical cold chain logistics information management method. Similarly, the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0049] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the embodiments described. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

1. A method for managing information in medical cold chain logistics, characterized in that, Includes the following steps: Temperature and humidity data of transported medical supplies are collected by sensors built into the cold chain box, and the temperature and humidity data are associated with the collection time to obtain a temperature and humidity time series table. Based on the temperature and humidity time series table, the unique identifier of the transported medical supplies is associated with information to obtain a supplies association table; Add the real-time location of the cold chain box to the material association table to obtain logistics tracking table data; The logistics tracking data is visualized to obtain a logistics tracking chart; The logistics tracking map is distributed to multiple terminals through the information push module to obtain a real-time display interface.

2. The medical cold chain logistics information management method according to claim 1, characterized in that, The process involves collecting temperature and humidity data of transported medical supplies via sensors built into the cold chain container, and then correlating and binding this temperature and humidity data with the time of collection to obtain a temperature and humidity time series table, including: The temperature and humidity data inside the cold chain box containing the transported medical supplies are collected by the temperature and humidity sensor built into the cold chain box, and the timestamp of the collection time is matched and labeled based on the temperature and humidity data to obtain time-stamped temperature and humidity data. Outliers in the time-stamped temperature and humidity data are filtered out to obtain valid temperature and humidity data. The valid temperature and humidity data are then sorted and structured according to the collection order to obtain a temperature and humidity time series table.

3. The medical cold chain logistics information management method according to claim 1, characterized in that, The process of associating the unique identifier of the transported medical supplies with the temperature and humidity time series table yields a supplies association table, including: The unique identification code of the transported medical supplies is scanned and read to generate the original encoded text. The fields of the original encoded text are then expanded to obtain the extended encoding framework. Key data is extracted based on the temperature and humidity time series table, and the key data is converted according to the field format of the extended coding framework to obtain the coding-adapted data. The encoding adaptation data is filled into the reserved fields of the extended encoding framework to obtain the temperature and humidity code, and the temperature and humidity code is structured to obtain the material association table.

4. The medical cold chain logistics information management method according to claim 1, characterized in that, The step of adding the real-time location of the cold chain box to the material association table to obtain logistics tracking table data includes: The cold chain box is located and its position is collected by the positioning module of the cold chain box to obtain the original position data. The positioning module number and the collection timestamp are added to the original position data to obtain the identified position data. Based on the collection timestamp of the identified location data, the temperature and humidity time series data in the material association table are matched with timestamps, and the temperature and humidity data under the same timestamp are filtered out to obtain time-aligned data. The consistency of the positioning module ID in the time-aligned data with the cold chain box equipment ID in the material association table is verified to obtain the verified data. The verified data is then subjected to integrity verification. Missing location or temperature and humidity fields are supplemented to obtain complete associated data. The complete associated data is then integrated into the corresponding location fields of the material association table in chronological order to obtain the logistics tracking table data.

5. The medical cold chain logistics information management method according to claim 1, characterized in that, The process of visualizing the logistics tracking data to obtain a logistics tracking chart includes: Based on the data from the logistics tracking table, the time dimension, temperature and humidity values, and location coordinates are extracted to obtain multidimensional display data. The multidimensional display data is then classified and labeled according to data type to obtain classified and labeled data. The classification label data is sorted along a time axis by time tags in the classification label data to obtain time-series data, and a path trajectory line is generated based on the position coordinates in the time-series data to obtain trajectory line data. Based on the temperature and humidity values ​​in the time-series data, a temperature and humidity change curve is generated to obtain curve data. The curve data is then aligned and superimposed with the trajectory line data on the time axis to obtain a logistics tracking map.

6. The medical cold chain logistics information management method according to claim 1, characterized in that, The process of distributing the logistics tracking map to multiple terminals through the information push module to obtain a real-time display interface includes: The medical supplies types associated with the logistics tracking map are matched and classified with the preset receiving terminal types to obtain a terminal type classification table, and the receiving terminal configuration information in the terminal type classification table is extracted. Based on the receiving end configuration information, the logistics tracking image is adapted to the size and converted to the format to obtain an end-adapted image. A unique receiver identifier is then added to the end-adapted image to obtain an identifiable image. The information push module distributes the tagged image according to the receiver's identifier to obtain a distribution record. The receiving feedback information in the distribution record is verified to obtain a verification result. The verification result and the tagged image are then displayed synchronously on the corresponding receiver to obtain a real-time display interface.

7. The medical cold chain logistics information management method according to claim 6, characterized in that, The step of synchronously displaying the verification result and the labeled image on the corresponding receiving end to obtain a real-time display interface includes: The verification results are classified into status identifiers to obtain status identifiers. The status identifiers are then overlaid with the labeled images to obtain an overlaid image. The status identifiers include a successful reception flag, a timeout reception flag, and a failed reception flag. Extract the image boundary parameters from the superimposed image, perform boundary verification on the display coordinates of the labeled image based on the image boundary parameters to obtain the verification coordinates, and reposition the labeled image based on the status label and the verification coordinates until the status label is successfully displayed to obtain the adapted image. The receiving end's display module performs pixel rendering on the adapted image to obtain an initial screen, and adds a click trigger area to the status markers in the initial screen to obtain a real-time display interface.

8. A medical cold chain logistics information management device, characterized in that, include: The data acquisition module is used to collect temperature and humidity data of transported medical supplies through sensors built into the cold chain box, and to associate and bind the temperature and humidity data with the time of acquisition to obtain a temperature and humidity time series table. The association module is used to associate information with the unique identifier of the transported medical supplies based on the temperature and humidity time series table to obtain a supplies association table; The module is used to add the real-time location of the cold chain box to the material association table to obtain logistics tracking table data; The display module is used to visualize the data in the logistics tracking table and obtain a logistics tracking chart. The distribution module is used to distribute the logistics tracking map to multiple terminals through the information push module to obtain a real-time display interface.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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