A sample management method, system, electronic device, and medium

Abstract

The application provides a sample management method, system, electronic equipment and medium. In the method, the master sample reference information of a target sample is determined during the storage operation of the target sample, and the sample splitting processing of the target sample is performed based on an RFID tag and the sub-sample control information is associated. At the same time, by acquiring the storage environment information in real time, the sub-sample control information is dynamically corrected in combination with the master sample reference information and the target sample use type, the control strategy can be optimized in real time according to the specific type of the sample, the sub-sample control information is adapted to the actual characteristics and use requirements of the sample. Finally, the storage period is monitored according to the corrected sub-sample control information, the precise management of the storage period of different types of samples is realized, the problem of inaccurate management of various sample states in the traditional scheme is solved, and the management accuracy of various sample states under a large number of samples is improved.

Description

Technical Field

[0001] This application relates to the field of sample management technology, and in particular to a sample management method, system, electronic device and medium. Background Technology

[0002] In current laboratory operations, traditional sample management solutions rely on manual registration and fixed procedures. These solutions typically employ standardized, fixed management processes and rules, lacking flexible adjustment mechanisms. However, in real-world applications, different sample types vary significantly in their origin, type, testing cycle, storage conditions, and transfer points. Traditional solutions can only perform basic management according to preset procedures and cannot optimize sample management strategies in real time based on specific sample types. Therefore, as the demand for sample management increases, traditional solutions become unsuitable for managing large volumes of samples, and the status of different sample types remains difficult to manage accurately. Summary of the Invention

[0003] In view of the above problems, in order to achieve accurate control over the state of various types of samples, this application provides a sample management method, system, electronic device and medium.

[0004] The embodiments of this application disclose the following technical solutions: In a first aspect, embodiments of this application provide a sample management method, the method comprising: During the process of performing the storage operation on the target sample, the parent sample reference information of the target sample is determined; the parent sample reference information is used to characterize the unique identifier and sample attributes of the target sample. The RFID tag of the target sample is acquired, and the target sample is processed by sample segmentation based on the RFID tag to obtain sub-samples relative to the target sample and associated sub-sample control information; the sub-sample control information is used to characterize the storage period of the sub-sample and the parent sample and RFID tag to which the sub-sample belongs. The storage environment information of the target sample is acquired in real time. Based on the storage environment information, the parent sample reference information, and the target sample's intended use, the sub-sample control information is dynamically corrected to obtain the corrected sub-sample control information. The storage period of the target sample is monitored based on the revised sub-sample control information.

[0005] In one possible implementation, the sub-sample control information includes: the sub-sample storage period; the parent sample baseline information includes: the target sample type identifier; Based on storage environment information, parent sample baseline information, and target sample usage type, the control information for sub-samples is dynamically corrected, including: Based on the storage environment information, the storage environment of the target sample is analyzed to obtain the environmental intervention coefficient. Determine the preset application type coefficient and preset sample type coefficient corresponding to the target sample application type and target sample type identifier, respectively; Based on the environmental intervention coefficient, the preset application type coefficient, and the preset sample type coefficient, the storage period of the subsample is dynamically corrected to obtain the corrected storage period of the subsample. The corrected storage period of the subsample and the subsample code are then determined as the corrected storage period of the subsample.

[0006] In one possible implementation, monitoring the storage period of the target sample based on the modified sub-sample control information includes: Determine the current time point; Based on the current time point and the storage period of the sub-sample, a duration analysis is performed to obtain the remaining storage time of the target sample; If the remaining duration is less than a preset duration threshold, an expiration warning signal is generated for the target sample. If the remaining duration is not less than a preset duration threshold, no timeout alarm signal will be generated for the target sample.

[0007] In one possible implementation, before performing sample sorting on the target sample based on RFID tags, the above method further includes: The RFID tags are validated using the baseline information of the parent sample. If the tag validity verification fails, a tag error signal is generated; the tag error signal is used to indicate that the RFID tag of the target sample should be retrieved again. If the tag's validity is verified, proceed with the step of sorting the target sample based on the RFID tag.

[0008] In one possible implementation, the parent sample reference information includes: target sample type identifier; The RFID tags are validated for legality using the baseline information of the parent sample, including: The target sample's parent code is constructed based on the target sample type identifier. Based on a preset hash algorithm, the combination of the master code and the sample type identifier is encrypted, and a tag verification code for the RFID tag is generated based on the hash value obtained after encryption. The RFID tag's legitimacy is verified using the tag verification code.

[0009] In one possible implementation, the parent sample reference information includes the parent sample storage period; the target sample is segmented based on RFID tags to obtain sub-samples relative to the target sample and associated sub-sample control information, including: The target sample is divided into sub-samples to obtain sub-samples relative to the target sample; A sub-code for the sub-sample is generated based on the parent code of the target sample, and the mapping relationship between the sub-code and the RFID tag is bound; the encoding prefix of the sub-code is the same as that of the parent code; The mapping relationship between sub-codes and RFID tags, the sub-codes, and the storage period of the parent sample are defined as the sub-sample control information.

[0010] Secondly, embodiments of this application provide a sample management system, the system comprising: The information determination module is used to determine the parent sample reference information of the target sample during the storage operation of the target sample; the parent sample reference information is used to characterize the unique identifier and sample attributes of the target sample. The sample sorting module is used to acquire the RFID tag of the target sample and perform sample sorting based on the RFID tag to obtain sub-samples relative to the target sample and associated sub-sample control information; the sub-sample control information is used to characterize the storage period of the sub-sample and the parent sample and RFID tag to which the sub-sample belongs. The deadline correction module is used to acquire the storage environment information of the target sample in real time, and dynamically correct the sub-sample control information based on the storage environment information, the parent sample reference information and the target sample usage type to obtain the corrected sub-sample control information. The storage period monitoring module is used to monitor the storage period of target samples based on the revised sub-sample control information.

[0011] In one possible implementation, the sub-sample control information includes: sub-sample storage period; the parent sample baseline information includes: target sample type identifier; and the period correction module is specifically used for: Based on the storage environment information, the storage environment of the target sample is analyzed to obtain the environmental intervention coefficient. Determine the preset application type coefficient and preset sample type coefficient corresponding to the target sample application type and target sample type identifier, respectively; Based on the environmental intervention coefficient, the preset application type coefficient, and the preset sample type coefficient, the storage period of the subsample is dynamically corrected to obtain the corrected storage period of the subsample. The corrected storage period of the subsample and the subsample code are then determined as the corrected storage period of the subsample.

[0012] Thirdly, embodiments of this application provide an electronic device, which includes: a processor, a memory, and a system bus; The processor and memory are connected via the system bus; The memory is used to store one or more programs, which include instructions that, when executed by the processor, cause the processor to perform any of the possible sample management methods in the first aspect.

[0013] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the possible sample management methods in the first aspect.

[0014] Compared to existing technologies, this application offers the following advantages: This application provides a sample management method, system, electronic device, and medium. In this method, during the warehousing process of a target sample, the parent sample baseline information is determined. Then, relying on RFID tags, the target sample is sorted and associated with sub-sample control information, establishing a precise association between sub-samples, the parent sample, and the RFID tags. This allows for the systematic management of the flow and identification of different types of samples on a large scale. Simultaneously, by acquiring storage environment information in real time and dynamically correcting the sub-sample control information based on the parent sample baseline information and the target sample's intended use, the control strategy can be optimized in real time according to the specific sample type, ensuring that the sub-sample control information aligns with the actual characteristics and usage requirements of the sample. Finally, based on the corrected sub-sample control information, storage period monitoring is conducted, achieving precise control over the storage period of different types of samples. This solves the problem of inaccurate sample status management in traditional solutions, allowing the control of various sample types under large-scale sample management to match their own characteristics and actual application scenarios, thus improving the accuracy of managing the status of various samples under large sample quantities. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A schematic flowchart illustrating a sample management method provided in an embodiment of this application; Figure 2 A flowchart illustrating a method for dynamically correcting sub-sample control information provided in an embodiment of this application; Figure 3 A flowchart illustrating an RFID tag validity verification method provided in this application embodiment; Figure 4 This is a schematic diagram of the structure of a sample management system provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with specific embodiments and accompanying drawings. It should be particularly noted that the embodiments described in this application are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0018] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this application should have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms "first," "second," and similar terms used in the embodiments of this application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0019] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0020] As described earlier, current laboratory operations rely on traditional sample management methods that depend on manual registration and fixed procedures. These methods typically employ uniform and fixed management processes and rules, lacking flexible adjustment mechanisms. However, in real-world applications, different types of samples vary significantly in their source, type, testing cycle, storage conditions, and transfer points. Traditional methods can only perform basic management according to preset procedures and cannot optimize sample management strategies in real time based on the specific sample type. Therefore, as the demand for sample management increases, traditional methods become unsuitable for managing large volumes of samples, and the status of different sample types remains difficult to manage accurately.

[0021] Based on this, embodiments of this application provide a sample management method, system, electronic device, and medium. In this method, during the warehousing operation of the target sample, the parent sample baseline information is determined. Then, relying on RFID tags, the target sample is sorted and associated with sub-sample control information, establishing a precise association between sub-samples, the parent sample, and the RFID tags. This allows for the systematic management of the flow and identification of different types of samples at large scales. Simultaneously, by acquiring storage environment information in real time and dynamically correcting the sub-sample control information based on the parent sample baseline information and the target sample's intended use, the control strategy can be optimized in real time according to the specific sample type, ensuring that the sub-sample control information aligns with the actual characteristics and usage requirements of the sample. Finally, storage period monitoring is conducted based on the corrected sub-sample control information, achieving precise control over the storage period of different types of samples. This solves the problem of inaccurate sample status management in traditional solutions, allowing the control of various sample types under large-scale sample management to match their own characteristics and actual application scenarios, improving the accuracy of managing the status of various samples under large sample quantities.

[0022] See Figure 1 The figure is a flowchart illustrating a sample management method provided in an embodiment of this application, specifically including the following steps: S101: During the process of performing the storage operation on the target sample, determine the parent sample reference information of the target sample; the parent sample reference information is used to characterize the unique identifier and sample attributes of the target sample.

[0023] In the actual execution of the target sample warehousing operation, the parent sample baseline information is determined through real-time information entry for the target sample. When a target sample is warehoused, the sample name, source, basic shelf life, responsible person, and other information corresponding to the sample are identified as data entry items for the sample baseline information. Furthermore, based on this entered information, a parent code for the target sample is generated as its unique identifier. This code is constructed according to the rule of 8-digit date plus 4-digit serial number, and is associated and integrated with all entered sample attribute data to jointly form the parent sample baseline information. The entire process simultaneously performs information integrity verification to avoid the loss of critical data.

[0024] In this step, determining the baseline information of the parent sample provides the specific data support for subsequent sample management. The unique identifier parent code is the core basis for verifying the legality of RFID tags. When scanning tags, the system generates a verification code based on the parent code and the sample type identifier to determine the match between the tag and the sample. The sample type identifier, basic shelf life, and other attributes in the baseline information are key raw data for the sample sorting process. Sub-samples directly inherit the basic shelf life, and the system also matches the corresponding preset type coefficient based on the sample type identifier, providing a basis for calculating and correcting the shelf life after considering the storage environment and intended use.

[0025] S102: Obtain the RFID tag of the target sample, and perform sample segmentation processing on the target sample based on the RFID tag to obtain sub-samples relative to the target sample and associated sub-sample control information; the sub-sample control information is used to characterize the storage period of the sub-sample and the parent sample and RFID tag to which the sub-sample belongs.

[0026] After the target sample is stored in the warehouse, the RFID reader scans the tag to read the master code and basic information index stored within it. Based on this index, all parent sample reference information corresponding to the target sample is retrieved from the database. After matching the sample identity, the sample is physically separated. During the separation process, the original target sample can be divided into several sub-samples according to the laboratory's testing requirements and sample retention requirements. This embodiment does not limit the specific sample sealing method. Additionally, in one possible implementation, the RFID tag in this embodiment can be a high-frequency 13.56MHz band model. This band has strong anti-interference capabilities in the complex electromagnetic environment of a laboratory. This embodiment also does not limit the type of RFID tag used.

[0027] Specifically, the sample splitting process for the target sample in step S102 is achieved through the following three steps: Step 1: Divide the target sample into sub-samples to obtain sub-samples relative to the target sample; Sample splitting is a physical sample separation operation. This operation requires quantitative splitting according to standardized sample processing procedures, based on the laboratory's actual testing needs, sample retention requirements, and the characteristics of the sample itself. Each split subsample is individually packaged and stored, with the packaging container selected to match the sample characteristics to prevent reactions. Basic physical differentiation is performed between different subsamples for subsequent matching with dedicated RFID tags. The specific number of splits and the quantity of each subsample are flexibly determined based on actual testing tasks, sample retention periods, and other business needs, ensuring that the split subsamples meet the usage requirements of different stages in the laboratory.

[0028] Step 2: Generate a sub-code for the sub-sample based on the parent code of the target sample, and bind the mapping relationship between the sub-code and the RFID tag; the encoding prefix of the sub-code is the same as that of the parent code.

[0029] After obtaining the sub-samples derived from the target sample, it is necessary to further generate sub-codes for the sub-samples based on the target sample's parent code. The parent code, as the unique digital identifier of the target sample, is the foundation of the entire sample coding system. The sub-codes use the same prefix as the parent code, which intuitively establishes the attribution association between the sub-sample and the parent sample. Even after multiple samplings, the original target sample can be quickly traced through the code. After generating the compliant sub-codes, they are mapped and bound to RFID tags, deeply integrating the physical sub-samples with the digital coded identifiers. Leveraging the read / write capabilities of RFID tags, the coded information of the sub-samples can be quickly read, transmitted, and synchronized to the database. This achieves the integration of hardware tags and software coding systems, giving each sub-sample a unique digital identifier strongly associated with the parent sample. This effectively solves the problem of the disconnect between physical samples and digital information in traditional sample management solutions, providing technical support for rapid sample retrieval in practical applications.

[0030] Step 3: Determine the mapping relationship between the sub-code and the RFID tag, the sub-code, and the storage period of the parent sample as the sub-sample control information.

[0031] Finally, for the sub-samples separated from the parent sample, the mapping relationship between the sub-sample's sub-code and RFID tag, the sub-code, and the parent sample's storage period are integrated to determine the sub-sample control information. This step transforms the physical operation of sample separation into digital control data. These three types of information elements each have their own function. The mapping relationship between the sub-code and RFID tag ensures a one-to-one correspondence between the hardware tag and the digital code, ensuring that all information of the corresponding sub-sample can be accurately retrieved through RFID reading and writing devices. The sub-code, as the unique digital identifier of the sub-sample, is the core index for querying and tracking sub-sample information in the system. The parent sample's storage period is the original benchmark value for controlling the sub-sample's storage period, providing basic data for subsequent dynamic period correction based on storage environment, sample usage type, etc. Step S102 integrates and solidifies the key information of the separated sub-samples to form structured sub-sample control information. After being synchronized to the laboratory's sample management system, it enables comprehensive digital management of the sample status, realizing the linkage between sub-sample information and parent sample information, and forming a closed loop for information transmission throughout the entire sample management system.

[0032] S103: Real-time acquisition of the target sample's storage environment information; dynamic correction of the sub-sample control information based on the storage environment information, parent sample reference information, and target sample usage type; and obtaining the corrected sub-sample control information.

[0033] After the target sample is sorted and initial sub-sample control information is generated, the next step is to dynamically correct this information. During the initial sorting process, the parent and sub-codes were generated and RFID tags were bound based on the parent sample baseline information. The parent sample storage period was also incorporated into the initial sub-sample control information. Dynamic correction uses this pre-determined basic information as a core reference, combined with the real-time changing storage environment and the target sample's intended use as defined during sorting, ensuring the control information aligns with the sample's actual storage and usage. During the dynamic correction of sub-sample control information, key environmental parameters such as temperature, humidity, and combustible gas concentration in the target sample storage area are continuously collected. This forms complete storage environment information, which is synchronized to the backend. Combined with the type identifier representing the sample's essential attributes in the parent sample baseline information, and the specific usage types determined during sorting (such as testing, retention, and re-testing), a complete basis system is established for correcting the sub-sample control information from three dimensions: environment, sample itself, and actual application.

[0034] It is important to note that in the dynamic correction logic for sub-sample control information in this embodiment, the parent sample baseline information is always retained as a fixed baseline and does not participate in any correction operations. All dynamic adjustments are specifically performed on the sub-sample control information. The purpose of this setting is to allow sample management to be adjusted according to actual scenarios while ensuring the uniformity of the entire sample management process. As mentioned earlier regarding the target sample (i.e., the parent sample), the parent sample baseline information is the basic information determined during the target sample's entry into the warehouse. It carries the sample's unique identifier and inherent attributes and is the fundamental basis for subsequent sample sorting and the generation of sub-sample control information. Its originality and fixedness are key to establishing the attribution association between the parent sample and sub-samples. If it is corrected, it will break the reference system of the entire sample chain, causing the traceability of the sub-sample's origin to lose a unified standard. Therefore, this information is only retrieved as a reference during the correction process and will not undergo any data changes.

[0035] The dynamic correction focuses on the sub-sample control information generated during the sampling process. This information is specific control data attached to the sub-sample. During the correction process, it combines real-time storage environment information, refers to the sample type identifier in the parent sample's baseline information, and matches the target sample's intended use. By calculating various coefficients, it adjusts the storage period of the sub-sample, thereby updating the entire sub-sample control information. This fixed baseline and correction of only sub-level control information ensures that the parent sample always serves as the unified traceability basis for all sub-samples, while allowing the sub-sample control information to be flexibly adjusted according to actual storage and usage needs. This achieves a balance between traceability stability and refined sub-sample control, adapting to the differentiated control needs of different sub-samples in large-scale sample status management.

[0036] Next, the step of dynamically correcting the sub-sample control information in step S103 will be described in detail with reference to the accompanying drawings of a specific process embodiment. See also Figure 2 The figure is a flowchart illustrating a method for dynamically correcting sub-sample control information according to an embodiment of this application, specifically including the following steps: S1031: Based on the storage environment information, analyze the storage environment of the target sample to obtain the environmental intervention coefficient.

[0037] First, based on the environmental monitoring equipment configured in the laboratory, key environmental information such as temperature, humidity, and combustible gas concentration in the target sample storage area is continuously collected. This real-time data is synchronously transmitted to the system and integrated for analysis. During the analysis, the environmental tolerance standard corresponding to the target sample type identifier in the parent sample baseline information is used to determine whether the current storage environment meets the sample preservation requirements. Simultaneously, the impact of environmental factors on the sample storage period is quantified, ultimately yielding the corresponding environmental intervention coefficient. This environmental intervention coefficient directly reflects the magnitude of the actual storage environment's impact on sample preservation. If environmental parameters exceed the sample's tolerance range, the coefficient is adjusted accordingly to reflect the negative environmental impact; conversely, it conforms to the coefficient setting for the standard sample storage environment. This step transforms abstract environmental conditions into concrete values ​​that can participate in subsequent calculations, providing a quantitative basis for subsequent dynamic period correction.

[0038] S1032: Determine the preset application type coefficient and preset sample type coefficient corresponding to the target sample application type and the target sample type identifier, respectively.

[0039] After obtaining the environmental intervention coefficient, the core indicators for dynamic correction in the sample and application dimensions are supplemented by determining the preset application type coefficient and preset sample type coefficient. In this embodiment, a database covering over fifty common sample types is built-in. Based on the target sample type identifier in the parent sample's baseline information, the corresponding preset sample type coefficient is automatically matched and retrieved. This coefficient is set according to the physicochemical properties of different samples, reflecting the inherent impact of the sample's preservation characteristics on its shelf life. Simultaneously, the corresponding preset application type coefficient is matched based on the actual application of the target sample determined during the sample sorting process, such as testing, retention, or retesting. Different applications have different requirements for sample preservation time and condition, and the corresponding coefficients are adjusted accordingly. In this way, dynamic correction can better align with the storage environment, taking into account both the inherent properties of the sample and actual application needs. Together with the environmental intervention coefficient, this forms a three-dimensional basis for correction calculation, making subsequent shelf-life corrections more scientific and targeted.

[0040] S1033: Based on the environmental intervention coefficient, the preset application type coefficient, and the preset sample type coefficient, the storage period of the sub-sample is dynamically corrected to obtain the corrected storage period of the sub-sample, and the corrected storage period of the sub-sample and the sub-sample code are determined as the corrected storage period of the sub-sample.

[0041] Finally, by integrating the three types of coefficients obtained in the first two steps, the actual correction of the subsample storage period is completed, and the final corrected subsample control information is determined. During the dynamic correction of the subsample storage period within the subsample control information, the environmental intervention coefficient, the preset usage type coefficient, and the preset sample type coefficient need to be combined. The initial subsample storage period generated during the sampling process is dynamically adjusted according to a predetermined calculation logic, ensuring that the corrected storage period accurately matches the sample's actual storage environment, inherent attributes, and usage requirements. This avoids sample deterioration or premature disposal caused by discrepancies between the fixed period and the actual situation. Simultaneously, the calculated corrected subsample storage period needs to be integrated with the subsample code to form the final corrected subsample control information. The subsample code, as the sample's unique digital identifier, is bound to the corrected period, giving each subsample's control information exclusive and precise characteristics. This step transforms the preliminary quantitative analysis into practically usable control data, making sample status management more dynamic and refined.

[0042] S104: Monitor the storage period of the target sample based on the revised sub-sample control information.

[0043] After the dynamic correction of the sub-sample control information is completed, the next step is to monitor the sample storage period based on the corrected information. Specifically, the process of monitoring the storage period in this step is implemented through the following four steps: Step 1: Determine the current time point; Step 2: Perform a duration analysis based on the current time point and the storage period of the sub-sample to obtain the remaining duration of the target sample.

[0044] Determining the current time point is a fundamental prerequisite for the entire monitoring process and a core time reference for subsequent duration analysis. The current time point is automatically obtained in real-time by the sample management system, including the specific year, month, day, hour, minute, and second, ensuring the accuracy and real-time nature of the time reference. This time point is matched with the corrected sub-sample control information. The current real-time time point is retrieved individually for each sub-sample, preparing for the subsequent calculation of the remaining duration of each sub-sample. This step is also closely linked to the earlier dynamic correction process. Based on the corrected storage period that aligns with the actual state of the samples, combined with the current time point, the subsequent duration analysis has practical reference value and meets the needs of refined control over each sub-sample in large-scale sample management.

[0045] After determining the current time point, a time limit analysis is performed based on the current time point and the revised sub-sample storage period to calculate the remaining duration of the target sample. This process requires retrieving the corresponding sub-sample storage period from the revised sub-sample control information. This period is a dynamically adjusted expiration time considering storage environment, sample type, and intended use, not a fixed original period. This expiration time is then compared with the real-time current time point to calculate the remaining duration of the sub-sample. Furthermore, for sub-samples of different types, uses, and storage environments, the remaining duration is calculated independently along a time dimension, ensuring that the remaining duration result for each sub-sample aligns with its specific control requirements. This allows time limit monitoring to move beyond the rudimentary nature of traditional manual ledger-based management, enabling personalized time limit analysis for each sub-sample.

[0046] Step 3: If the remaining duration is less than a preset duration threshold, generate a timeout alarm signal for the target sample. Step 4: If the remaining duration is not less than the preset duration threshold, no timeout alarm signal will be generated for the target sample.

[0047] Finally, the calculated remaining time is compared with a preset time threshold, and a decision is made based on the comparison result to generate an expiration alarm signal. The preset time threshold is set in advance based on industry standards for laboratory sample management, the characteristics of different samples, and actual testing needs. It serves as a warning threshold before the sample expires, balancing subsequent processing time with preservation safety. When the calculated remaining time is less than the preset threshold, an expiration alarm signal is automatically generated for that target sample. The signal is simultaneously pushed to the relevant management personnel's terminals, clearly indicating that the sample is about to expire and needs timely processing. If the remaining time is not less than the preset threshold, the system does not generate an alarm signal and continues to maintain real-time monitoring. This differentiated execution logic effectively avoids the problem of sample deterioration due to untimely reminders and also prevents the waste of human resources caused by early reminders, making sample expiration management more targeted and reasonable.

[0048] Specifically, in one possible implementation, in the sample management method provided in this embodiment, before the target sample is sorted based on the RFID tag in step S102, the RFID tag legality can be verified based on the parent sample reference information of the target sample, thereby ensuring the integrity and security of the RFID tag information. This is achieved through the following three steps: Step 1: Verify the legality of RFID tags using the baseline information of the master sample.

[0049] Before sorting target samples based on RFID tags, verifying the legality of the RFID tags using the parent sample's baseline information is a prerequisite for the entire sorting process and a crucial foundation for ensuring the integrity and security of the digital management information of the samples. In this step, the parent sample baseline information determined during the warehousing stage is used as the core verification basis, making tag legality verification a necessary prerequisite for the sorting operation. This process audits the validity and matching of RFID tags from the source, preventing unqualified tags from directly entering the sorting process.

[0050] Step 2: If the tag validity verification fails, a tag error signal is generated; the tag error signal is used to indicate that the RFID tag of the target sample should be retrieved again.

[0051] When the RFID tag's validity verification fails, an abnormal tag signal is automatically generated. The core function of this signal is to promptly warn of unqualified tags and clearly instruct relevant personnel to retrieve the target sample's RFID tag again. A failed tag verification indicates potential issues such as information mismatch, data tampering, or invalid identification. Allowing such tags to enter the sampling process will directly lead to incorrect binding of subsequent sub-codes to the tags, and may even cause data chaos throughout the entire sample control system, depriving the entire sample traceability process of a reliable digital carrier. The generation and notification of the abnormal tag signal effectively intercepts unqualified tags and promptly avoids these problems.

[0052] Step 3: If the tag's legality is verified, proceed with the sample sorting process based on the RFID tag.

[0053] Conversely, if the RFID tag successfully passes the legitimacy verification, the sample sorting process based on the RFID tag can be formally executed. Passing the verification means that the RFID tag's information integrity and security meet the requirements, and it effectively matches the parent sample's baseline information, thus possessing the legal prerequisites for serving as a digital identifier for sample sorting.

[0054] Next, the process of verifying the legality of RFID tags in step one above will be described in detail with reference to the accompanying drawings of a specific implementation method. See also Figure 3 The figure is a flowchart illustrating an RFID tag validity verification method provided in an embodiment of this application, specifically including the following steps: S201: Construct the code based on the target sample type identifier to obtain the target sample's master code.

[0055] First, a corresponding master code needs to be generated based on the target sample type identifier. The target sample type identifier is an important component of the master sample's baseline information, representing the sample's inherent attributes. Constructing the master code based on this identifier ensures a unique correspondence between the generated master code and the target sample, guaranteeing the code's uniqueness and matching. The construction of the master code must adhere to the laboratory sample management coding rules. The generated master code is not only a unique digital identifier for the target sample but also the core carrier of the entire subsequent verification process. Only based on this unique master code can subsequent encryption processing and label verification be accurately associated with the target sample, avoiding problems such as a disconnect between the code and sample attributes, or misalignment of verification objects.

[0056] S202: Based on a preset hash algorithm, the combination of the master code and the sample type identifier is encrypted, and a tag verification code for the RFID tag is generated based on the hash value obtained after encryption.

[0057] Encrypting the combination of the master code and sample type identifier using a preset hash algorithm to generate a tag verification code is the encryption step in RFID tag legitimacy verification and a crucial step in ensuring verification security and uniqueness. Specifically, this step combines the previously generated master code with the target sample type identifier, then encrypts this combination using a preset hash algorithm. Leveraging the irreversible and unique mapping characteristics of hash algorithms, the encrypted hash value has a unique matching property. Key information is then extracted from the hash value to generate a unique tag verification code for that RFID tag. Compared to encrypting only the master code, encrypting the master code and sample type identifier together binds the generated verification code to both the sample's unique code and inherent attributes, significantly improving the verification code's security. This effectively reduces the risk of code tampering and forgery, providing a reliable and unique basis for subsequent tag verification, and technically ensuring the accuracy of tag verification.

[0058] S203: Verify the legality of RFID tags using tag verification codes.

[0059] Finally, after generating a unique tag verification code, this code is used as the judgment standard to automatically compare and match with the stored information in the RFID tag to be verified, confirming whether the information carried by the tag matches the parent code and type identifier of the target sample. In this embodiment, during the RFID tag legality verification process, the encrypted verification code is used as the judgment basis to intercept all unqualified RFID tags, ensuring that only compliant tags matching the target sample can enter the subsequent sample sorting process, laying the data foundation for subsequent sub-code generation and RFID tag-sub-sample binding operations.

[0060] This application provides a sample management method. During the warehousing process of a target sample, the parent sample baseline information is determined. Using RFID tags, the target sample is sorted and associated with sub-sample control information, establishing a precise correlation between sub-samples, the parent sample, and the RFID tags. This allows for the systematic management of the flow and identification of different types of samples at large scales. Simultaneously, by acquiring storage environment information in real time and dynamically correcting the sub-sample control information based on the parent sample baseline information and the target sample's intended use, the control strategy can be optimized in real time according to the specific sample type, ensuring that the sub-sample control information aligns with the actual characteristics and usage requirements of the sample. Finally, storage period monitoring is conducted based on the corrected sub-sample control information, achieving precise control over the storage period of different types of samples. This solves the problem of inaccurate sample status management in traditional solutions, allowing the control of various sample types under large-scale sample management to match their own characteristics and actual application scenarios, improving the accuracy of managing the status of various samples under large sample volumes.

[0061] The following describes a sample management system provided by an embodiment of this application. The sample management system described below can be referred to in correspondence with the sample management method described above.

[0062] See Figure 4 The figure is a schematic diagram of the structure of a sample management system provided in an embodiment of this application, which specifically includes the following modules: The information determination module 100 is used to determine the parent sample reference information of the target sample during the process of performing the storage operation on the target sample; the parent sample reference information is used to characterize the unique identifier and sample attributes of the target sample. The sample processing module 200 is used to acquire the RFID tag of the target sample and perform sample processing on the target sample based on the RFID tag to obtain sub-samples relative to the target sample and associated sub-sample control information; the sub-sample control information is used to characterize the storage period of the sub-sample and the parent sample and RFID tag to which the sub-sample belongs. The deadline correction module 300 is used to acquire the storage environment information of the target sample in real time, and dynamically correct the sub-sample control information based on the storage environment information, the parent sample reference information and the target sample usage type to obtain the corrected sub-sample control information. The storage period monitoring module 400 is used to monitor the storage period of the target sample based on the corrected sub-sample control information.

[0063] In one possible implementation, the sub-sample control information includes: sub-sample storage period; the parent sample baseline information includes: target sample type identifier; and the period correction module is specifically used for: Based on the storage environment information, the storage environment of the target sample is analyzed to obtain the environmental intervention coefficient. Determine the preset application type coefficient and preset sample type coefficient corresponding to the target sample application type and target sample type identifier, respectively; Based on the environmental intervention coefficient, the preset application type coefficient, and the preset sample type coefficient, the storage period of the subsample is dynamically corrected to obtain the corrected storage period of the subsample. The corrected storage period of the subsample and the subsample code are then determined as the corrected storage period of the subsample.

[0064] See Figure 5 The figure is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, including: Memory 11 is used to store computer programs; The processor 12 is used to execute a computer program to implement the steps of a sample management method as described in any of the above method embodiments.

[0065] In this embodiment, the device can be an in-vehicle computer, a PC (Personal Computer), or a terminal device such as a smartphone, tablet computer, handheld computer, or portable computer.

[0066] The device may include a memory 11, a processor 12, and a bus 13.

[0067] The memory 11 includes at least one type of readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the device, such as the hard disk of the device. In other embodiments, the memory 11 can also be an external storage device of the device, such as a plug-in hard disk, SmartMediaCard (SMC), SecureDigital (SD) card, FlashCard, etc., all equipped on the device. Furthermore, the memory 11 can include both internal and external storage units of the device. The memory 11 can be used not only to store application software and various types of data installed on the device, such as program code executing fault scenario screening methods, but also to temporarily store data that has been output or will be output.

[0068] In some embodiments, processor 12 may be a central processing unit (CPU), controller, microcontroller, microprocessor or other data processing chip, used to run program code stored in memory 11 or process data, such as program code for executing sample management methods.

[0069] This bus 13 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0070] Furthermore, the device may also include a network interface 14, which may optionally include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), typically used to establish communication connections between the device and other electronic devices.

[0071] Optionally, the device may further include a user interface 15, which may include a display, an input unit such as a keyboard, and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the device and to display a visual user interface.

[0072] Figure 5 Only devices with components 11-15 are shown; those skilled in the art will understand that... Figure 5 The structure shown does not constitute a limitation on the device and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0073] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, this application also provides a computer-readable storage medium storing computer instructions for causing the computer to execute the sample management method as described in any of the above embodiments.

[0074] The computer-readable media in this application embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0075] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to execute the sample management method as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0076] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for the system, method, electronic device, and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments. The system, method, electronic device, and medium embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0077] The above description is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A sample management method, characterized in that, The method includes: Determine the parent sample reference information of the target sample; the parent sample reference information is used to characterize the unique identifier and sample attributes of the target sample; The RFID tag of the target sample is obtained, and the target sample is sampled based on the RFID tag to obtain sub-samples relative to the target sample and associated sub-sample control information; the sub-sample control information is used to characterize the storage period of the sub-sample and the parent sample and RFID tag to which the sub-sample belongs; The storage environment information of the target sample is acquired in real time. Based on the storage environment information, the parent sample reference information, and the target sample usage type, the sub-sample control information is dynamically corrected to obtain the corrected sub-sample control information. The storage period of the target sample is monitored based on the revised sub-sample control information.

2. The method according to claim 1, characterized in that, The sub-sample control information includes: sub-sample storage period; the parent sample baseline information includes: target sample type identifier; The step of dynamically correcting the sub-sample control information based on the storage environment information, the parent sample reference information, and the target sample usage type includes: Based on the storage environment information, the target sample is analyzed to obtain the environmental intervention coefficient. Determine the preset application type coefficient and preset sample type coefficient corresponding to the target sample application type and the target sample type identifier, respectively; Based on the environmental intervention coefficient, the preset application type coefficient, and the preset sample type coefficient, the storage period of the sub-sample is dynamically corrected to obtain the corrected storage period of the sub-sample, and the corrected storage period of the sub-sample and the sub-sample code are determined as the corrected storage period of the sub-sample.

3. The method according to claim 2, characterized in that, The step of monitoring the storage period of the target sample based on the corrected sub-sample control information includes: Determine the current time point; Based on the current time point and the storage period of the sub-sample, a duration analysis is performed to obtain the remaining duration of the target sample. If the remaining duration is less than a preset duration threshold, an expiration warning signal is generated for the target sample. If the remaining duration is not less than the preset duration threshold, no timeout alarm signal will be generated for the target sample.

4. The method according to claim 1, characterized in that, Before performing sample sorting on the target sample based on the RFID tag, the method further includes: The RFID tag's legality is verified using the parent sample's reference information; If the tag validity verification fails, a tag anomaly signal is generated; the tag anomaly signal is used to indicate that the RFID tag of the target sample should be retrieved again. If the tag's validity is verified, the step of sample sorting based on the RFID tag is performed.

5. The method according to claim 4, characterized in that, The parent sample reference information includes: target sample type identifier; The step of verifying the legality of the RFID tag using the parent sample reference information includes: The target sample's parent code is constructed based on the target sample type identifier. Based on a preset hash algorithm, the combination of the master code and the sample type identifier is encrypted, and a tag verification code for the RFID tag is generated based on the hash value obtained after encryption. The RFID tag's legitimacy is verified using the tag verification code.

6. The method according to claim 4, characterized in that, The parent sample baseline information includes the parent sample storage period; the sample segmentation process based on the RFID tag to obtain sub-samples relative to the target sample and associated sub-sample control information includes: The target sample is divided into sub-samples relative to the target sample; A sub-code for the sub-sample is generated based on the parent code of the target sample, and a mapping relationship is established between the sub-code and the RFID tag; the encoding prefix of the sub-code is the same as that of the parent code; The mapping relationship between the sub-code and the RFID tag, the sub-code, and the storage period of the parent sample are determined as the sub-sample control information.

7. A sample management system, characterized in that, The system includes: The information determination module is used to determine the parent sample reference information of the target sample during the process of performing the storage operation on the target sample; the parent sample reference information is used to characterize the unique identifier and sample attributes of the target sample. The sample sorting module is used to acquire the RFID tag of the target sample and perform sample sorting processing on the target sample based on the RFID tag to obtain sub-samples relative to the target sample and associated sub-sample control information; the sub-sample control information is used to characterize the storage period of the sub-sample and the parent sample and RFID tag to which the sub-sample belongs. The deadline correction module is used to acquire the storage environment information of the target sample in real time, and dynamically correct the sub-sample control information based on the storage environment information, the parent sample reference information, and the target sample usage type to obtain the corrected sub-sample control information. The storage period monitoring module is used to monitor the storage period of the target sample based on the corrected sub-sample control information.

8. The system according to claim 7, characterized in that, The sub-sample control information includes: sub-sample storage period; the parent sample baseline information includes: target sample type identifier; the period correction module is specifically used for: Based on the storage environment information, the target sample is analyzed to obtain the environmental intervention coefficient. Determine the preset application type coefficient and preset sample type coefficient corresponding to the target sample application type and the target sample type identifier, respectively; Based on the environmental intervention coefficient, the preset application type coefficient, and the preset sample type coefficient, the storage period of the sub-sample is dynamically corrected to obtain the corrected storage period of the sub-sample, and the corrected storage period of the sub-sample and the sub-sample code are determined as the corrected storage period of the sub-sample.

9. An electronic device, characterized in that, The device includes: a processor, a memory, and a system bus; The processor and the memory are connected via the system bus; The memory is used to store one or more programs, the one or more programs including instructions that, when executed by the processor, cause the processor to perform the sample management method according to any one of claims 1-6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the sample management method as described in any one of claims 1-6.

Images