Biological sample information data management method and system

Abstract

The invention discloses a biological sample information data management method and system, and relates to the technical field of biological sample management, the system comprises a sample collection device, a management terminal, a sample storage device and a mobile terminal, and the specific steps are as follows: collecting a biological sample and performing preprocessing operation; performing quality inspection operation on the biological samples, and establishing a biological sample library; planning the storage position of the biological sample in the storage box, and monitoring the storage environment in real time; introducing a retrieval and sharing mechanism; remote application for use is provided through the mobile terminal; and the display panel displays the data information in real time. According to the method, standardization, structuring and traceability of sample information can be ensured, a management scheme for links such as sample collection, numbering, classification, storage, updating and retrieval is provided, efficient access and long-term storage of biological sample information are ensured, structured recording processing operation is performed on basic information, experimental data, sample states and the like of biological samples, and the efficiency is improved. And the data can be classified, queried and updated as required.

Description

Technical Field

[0001] The present invention relates to the technical field of biological sample management, and in particular to a biological sample information data management method and system. Background Art

[0002] In the fields of life sciences, medical research and development, monkeys are experimental animals with physiological characteristics highly similar to those of humans, and their biological samples (such as blood, tissues, cells, etc.) have irreplaceable value for disease mechanism research, clinical trials of new drugs, etc.

[0003] However, there are some problems in the information data management of existing monkey biological samples: data management lacks standardized specifications, and there are differences or omissions in the collection and recording methods of monkey sample information. For example, key information such as the monkey's genetic background and vaccination history are not recorded, resulting in poor data compatibility and inconvenience in data sharing and integrated analysis; the sample storage method is chaotic, and there is a lack of real-time monitoring of the sample storage environment, which can easily cause sample quality to deteriorate or even be damaged, affecting the reliability of research results; in addition, with the rapid growth in the number of monkey samples, traditional manual registration and form management methods are difficult to meet the needs of rapid retrieval of large-scale samples, and cannot effectively trace the entire process information of samples from collection, storage to use. It often takes a lot of time to retrieve specific samples, resulting in low overall efficiency.

[0004] Based on this, a biological sample information data management method and system are now provided to eliminate the drawbacks of existing technical solutions. Summary of the Invention

[0005] The purpose of the present invention is to provide a biological sample information data management method and system to solve the problems in the background art such as lack of standardized specifications for data management, chaotic sample storage methods, and difficulty in manual registration to meet retrieval and traceability requirements.

[0006] To achieve the above object, the present invention provides the following technical solutions: A biological sample information data management method, the specific steps are as follows: S1. Initially collect biological samples and upload them to a database, and pre-process the initial biological sample collection information data; S2. Perform quality control and traceability operations on the biological samples, use a data quality inspection module to establish biological sample quality parameters, perform automatic verification operations on the biological samples before storage, determine whether the biological samples are qualified, and establish a biological sample library based on the pre-processed qualified biological sample data; S3. Obtain the storage map of the storage box and the storage conditions of the biological samples in the database. Based on the preprocessed biological sample data, plan the storage location of the biological samples in the storage box, bind the physical location of the samples with the sample identifiers, monitor the storage environment in real time, and regularly update the sample status. S4. Introducing a search and sharing mechanism. Using the data search module, enter keywords to search for sample data. Keywords include, but are not limited to, sample ID, donor ID, and collection date. Using the data application module, different roles are granted different access rights. S5. Different roles can retrieve and access the data information of the biological sample library through mobile terminals, and submit remote application and use operations based on the above data information. After receiving the remote application and use request signal, the sample outbound module will process the biological sample outbound; S6. The display panel displays the data information of the biological sample library in real time, and regularly conducts quality inspections on samples to generate quality inspection reports.

[0007] Preferably, the initial biological sample collection information data in step S1 includes basic information, health data and collection scenarios, the basic information includes but is not limited to species, strain, gender, age, weight, genetic background, growth status, the health data includes but is not limited to vaccination history, microbial test results, clinical indicators, the collection scenario includes but is not limited to imaging data, behavioral record data, sample type, collection site, collection time and collection environment parameter data.

[0008] Preferably, the specific process of determining whether the biological sample is qualified in step S2 is as follows: the data quality inspection module pre-sets the qualified range of quality parameters of the biological sample, and the quality parameters include but are not limited to hemoglobin content, white blood cell count, cell activity, and nucleic acid concentration. Before the biological sample is put into storage, the data quality inspection module automatically retrieves the sample-related test data and compares and verifies it with the preset quality parameters. If the test data of the biological sample is within the qualified range, the sample is determined to be qualified and stored in a storage box. If the test data of the biological sample is abnormal, the sample is determined to be unqualified, and the sample is automatically marked as a sample to be processed, and the back-end management personnel are notified to isolate and store the sample for manual review.

[0009] Preferably, the roles in step S4 include library managers, researchers, ethics committees, and external partners.

[0010] Preferably, the step S5 specifically includes: S51. Different roles log in to the system through mobile terminals to retrieve and access the data information of the biobank. When a user needs to use a sample, based on the retrieved data information, he or she fills out a remote application form on the mobile terminal and submits the application. The form includes the purpose of the application, sample type, quantity, time limit, and applicant; S52: After receiving the remote application request signal, the sample delivery module reviews the application and automatically generates a remote application delivery order based on the review result; S53. The warehouse manager finds the corresponding sample based on the delivery order information, performs delivery operations, and updates the sample inventory status; S54. After the outbound operation is completed, the sample outbound module will send the remote application request processing result to the mobile terminal. If the application is approved, the detailed information of the outbound sample will be sent to the mobile terminal.

[0011] A biological sample information data management system includes a sample collection device, a management terminal, a sample storage device, and a mobile terminal. The sample collection device includes: Collection equipment, used to complete the initial collection of biological samples such as blood, tissue, and cerebrospinal fluid, and synchronize the initial collection information data to the management terminal; The first environmental sensing device is used to collect environmental data of the sample collection site in real time and synchronize the data to the management terminal; The first camera device is used to capture the individual characteristics of biological samples, take photos and videos of the collection process, and bind the captured image data with the sample information.

[0012] Preferably, the management terminal includes: Database, used to store the full life cycle data of biological samples, including original collection data, pre-processed data, quality inspection data and sample usage records; Biobank, used to classify, store and manage pre-processed and quality-qualified biological sample data; A display panel is used to display key data of the biobank in real time in the form of a visual panel; Integrated module components for data processing, process control and authority allocation operations.

[0013] Preferably, the integrated module assembly includes: The data acquisition module is used to receive the raw data uploaded by the sample collection device and perform preliminary verification on the data; The data preprocessing module is used to unify the format of the above raw data, clean the data, and standardize the data to convert the data into a format that meets the storage standards of the biological sample library; Data quality inspection module, used to set sample quality parameters and perform automatic verification and manual review before storage; Storage planning module, used to plan sample storage locations using sample data and storage conditions; Data retrieval module, used to provide retrieval functions, supporting keyword retrieval and advanced retrieval; Data application module, used to assign different levels of data access and operation permissions to users; The sample outbound module is used to receive sample usage applications submitted by mobile terminals and update the sample inventory status in real time.

[0014] Preferably, the sample storage device comprises: A storage box, comprising a low-temperature refrigerator with a built-in freezing position and a liquid nitrogen tank, for storing biological samples to achieve sample classification, storage, and positioning effects; The second environmental sensing device is used to regularly monitor the environmental parameters inside and outside the storage box and synchronize the data to the management terminal; A second camera device is installed on the outside of the storage box and is used to monitor the entry and exit of samples in the sample storage area in real time; The alarm is used to determine whether the environmental parameters exceed the preset threshold. Once the threshold is exceeded, an audible and visual alarm is triggered and the back-end management personnel are notified.

[0015] Preferably, the management terminal further includes a memory and a processor, the memory is used to store a program for implementing the biological sample information data management method, and the processor is used to execute the program for implementing the biological sample information data management method to implement the steps of the biological sample information data management method.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This biological sample information data management method and system achieves efficient management and processing of biological sample-related information, ensuring the standardization, structuring and traceability of sample information. The method involves the storage and management of biological samples, and proposes management plans for sample collection, numbering, classification, storage, updating, retrieval and other links to ensure efficient access and long-term storage of biological sample information. A biological sample library is used to perform structured record processing operations on the basic information, experimental data, sample status, etc. of biological samples, ensuring that data can be classified, queried and updated on demand. In addition, the system is also designed with a sharing mechanism that adapts to different roles, supports interaction and data sharing among multiple participants in sample information management, prevents unauthorized access, and ensures the accuracy, reliability and efficiency of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the steps of the data management method of the present invention.

[0018] Figure 2 Schematic diagram of step S5 of the present invention.

[0019] Figure 3 Schematic diagram of the structure of the data management system of the present invention.

[0020] Figure 4 It is a structural diagram of the sample collection device and management terminal of the present invention.

[0021] Figure 5 Schematic diagram of the structure of the integrated module assembly of the present invention.

[0022] Notes on the accompanying drawings: sample collection device 100, collection equipment 110, first environment perception device 120, first camera device 130, management terminal 200, database 210, biological sample library 220, display panel 230, integrated module component 240, data collection module 241, data preprocessing module 242, data quality inspection module 243, storage planning module 244, data retrieval module 245, data application module 246, sample outbound module 247, memory 250, processor 260, sample storage device 300, storage box 310, second environment perception device 320, second camera device 330, alarm 340, mobile terminal 400. DETAILED DESCRIPTION

[0023] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0024] In this embodiment, if Figure 1-Figure 5 As shown, a biological sample information data management system includes a sample collection device 100, a management terminal 200, a sample storage device 300, and a mobile terminal 400. The sample collection device 100 is used to complete on-site collection of monkey biological samples, information entry, and preliminary environmental data collection operations. The management terminal 200 is used to comprehensively manage the full life cycle data of the biological samples and perform quality monitoring and authority allocation operations on the biological samples based on the above data characteristics. The sample storage device 300 is used to securely store biological samples and monitor the storage environment in real time. The mobile terminal 400 is used to support users to remotely retrieve sample information, submit usage applications, and receive system notifications. The sample collection device 100 includes: The collection device 110 includes professional sampling tools and sample storage containers, and is used to complete the initial collection operation of biological samples such as blood, tissue, and cerebrospinal fluid, and synchronize the initial collection information data to the management terminal 200; The first environment sensing device 120 includes but is not limited to a temperature and humidity sensor and an air pressure sensor, and is used to collect environmental data of the sample collection site in real time and synchronize the data to the management terminal 200; A first camera device 130, which uses a high-resolution camera to capture individual features of biological samples, photos and videos of the collection process, and bind the captured image data with sample information; Specifically, after the sample collection device 100 obtains the sample and environmental data, it transmits it to the management terminal 200 for preprocessing operations, and is verified using the data quality inspection module 243. Qualified samples enter the biological sample library 220, and the storage planning module 244 allocates a frozen storage location. After the sample is placed, the biological sample storage environment is monitored in real time through the storage device 300. The user can retrieve the sample through the mobile terminal 400 and submit an application to the management terminal 200. After the review is successful, the warehouse manager will follow the outbound order and feedback the results to the user.

[0025] Among them Figure 3-Figure 5 As shown, the management terminal 200 includes: Database 210, used to store the full life cycle data of biological samples, including original collection data, pre-processed data, quality inspection data and sample usage records; Biological sample library 220, used for classifying, storing and managing pre-processed and quality-qualified biological sample data; The display panel 230 is used to display key data of the biological sample library 220 in real time in the form of a visual panel, including the total inventory, the distribution of various sample types, the storage environment status, and recent in-and-out records. This helps back-end management personnel understand the operation status of the biological sample library 220, optimize the collection and storage processes, and improve the quality of sample management; The integrated module component 240 is used to implement data processing, process control and authority allocation operations.

[0026] Among them Figure 4 and Figure 5 As shown, the integrated module assembly 240 includes: The data collection module 241 is used to receive the raw data uploaded by the sample collection device 100 and perform preliminary verification on the data; The data preprocessing module 242 is used to unify the format of the raw data, clean the data, and standardize the data, converting the data into a format that meets the storage standards of the biological sample library 220 to facilitate cross-sample analysis; The data quality inspection module 243 is used to set sample quality parameters, perform automatic verification and manual review operations before storage, and automatically compare sample test data with preset quality parameters to ensure that only qualified samples are stored and to prevent unqualified samples from affecting research results; The storage planning module 244 is used to plan the sample storage location using sample data and storage conditions, which is convenient for combining with the keyword or advanced search function of the data retrieval module 245 to significantly shorten the sample location time; Data retrieval module 245 is used to provide retrieval functions, support keyword retrieval and advanced retrieval, and support retrieval by combined conditions such as gene expression level and experimental project to meet complex research needs; The data application module 246 is used to assign different levels of data access and operation permissions to users. The data application module 246 dynamically assigns access permissions to different roles and combines with the mobile terminal 400 to realize remote application and automated review. The sample outbound module 247 is used to receive the sample use application submitted by the mobile terminal 400, and update the sample inventory status in real time, and can feedback the application results to the user.

[0027] Among them Figure 4 As shown, the sample storage device 300 includes: Storage box 310, which includes a low-temperature refrigerator with a built-in freezing position and a liquid nitrogen tank, is used to store biological samples, achieve sample classification storage and positioning effects, and partition storage types such as color marking by disease type; The second environment sensing device 320 is used to regularly monitor the environmental parameters inside and outside the storage box 310 and synchronize the data to the management terminal 200. The second environment sensing device 320 includes but is not limited to a temperature and humidity sensor, a liquid level sensor, and a CO2 concentration sensor; A second camera device 330 is installed outside the storage box 310 and is used to monitor the sample storage area in real time; Alarm 340, used to determine whether the environmental parameters exceed the preset threshold, triggering an audible and visual alarm when the threshold is exceeded, and notifying the back-end management staff; Specifically, the storage planning module 244 allocates frozen storage locations and binds sample identification based on the sample type, storage conditions and the three-dimensional map of the storage box 310. The second environmental sensing device 320 regularly collects data such as temperature and humidity and transmits it to the management terminal 200. The display panel 230 displays normal data in real time and triggers the alarm 340 when abnormal data occurs, making it convenient for back-end management personnel to remotely view and process. The warehouse manager can extract samples according to the delivery order. The second camera device 330 records the operation process to facilitate the sample delivery module 247 to update the inventory status.

[0028] Among them Figure 4 and Figure 5As shown, the management terminal 200 also includes a memory 250 and a processor 260. The memory 250 is used to store a program for implementing the biological sample information data management method, and the processor 260 is used to execute the program for implementing the biological sample information data management method to implement the steps of the biological sample information data management method. The collected data is pushed to the display panel 230 through the processor 260, supporting historical data query and implementing subsequent analysis operations.

[0029] like Figure 1-Figure 5 As shown, a biological sample information data management method, the specific steps are as follows: S1. Initially collect biological samples and upload them to the database 210, and pre-process the initial collection information data of the biological samples; Specifically, in the initial collection stage of monkey biological samples, staff use professional biological sample collection equipment 110 to scan the monkey's ear tag or chip through the first camera device 130 to quickly obtain the monkey's basic information, health data and collection scene. The basic information includes but is not limited to species, strain, gender, age, weight, genetic background, and growth status. The health data includes but is not limited to vaccination history, microbiological test results, and clinical indicators. The collection scene includes but is not limited to imaging data, behavioral record data, sample type, collection site, collection time, and parameter data of the collection environment. After the data is uploaded to the database 110, the data preprocessing module 242 starts working to unify the format of the collected information, standardize the data entered by different collection terminals and different collection personnel into the system preset format, and then perform data cleaning, automatically identify and delete duplicate records, mark missing values ​​or fill in based on historical data and relevant rules, and finally standardize the data, for example, uniformly convert the monkey's age data into weeks. S2. Perform quality control and traceability operations on the biological samples, use the data quality inspection module 243 to establish biological sample quality parameters, perform automatic verification operations on the biological samples before storage, determine whether the biological samples are qualified, and establish a biological sample library 220 based on the pre-processed qualified biological sample data; Specifically, taking blood samples as an example, the data quality inspection module 243 pre-sets the qualified ranges of indicators such as hemoglobin content and white blood cell count in the biological sample quality parameters. Before the biological sample is put into storage, the data quality inspection module 243 automatically retrieves the sample-related test data and compares and verifies it with the preset quality parameters. If the test data of the biological sample is within the qualified range, the sample is determined to be qualified and stored in the storage box 310. If the test data of the biological sample is abnormal, the sample is determined to be unqualified and automatically marked as a sample to be processed, and the back-end management personnel are notified to isolate the sample and store it for manual review. The pre-processed qualified sample data is classified and stored according to dimensions such as sample type and donor information, and a biological sample library 220 is formally established, so that traceability can be performed through information such as collection time and collection equipment number. The quality verification process complies with the requirements of the "Regulations on the Management of Experimental Animals". The use of samples must be approved by the institutional animal ethics committee, and the system automatically records the ethics review number and validity period. S3. Obtain a storage map of the storage box 310 and the storage conditions of the biological samples in the database 210. Based on the preprocessed biological sample data, plan the storage location of the biological samples in the storage box 310, bind the physical location of the samples to the sample identifiers, monitor the storage environment in real time, and regularly update the sample status. Specifically, a storage map of the storage box 310 is obtained in advance. This map is presented in a three-dimensional visual format and details the location information of the refrigerator and freezer. The storage conditions of various monkey biological samples are stored in the database 210. The storage planning module 244 is used to plan the sample storage locations to facilitate the placement of collected samples in appropriate locations. After the storage location is determined, the system binds the sample physical location (e.g., refrigerator - layer A - shelf B) with the sample identifier (e.g., RFID tag code, QR code information, donor ID, sample ID), and uses the second environmental sensing device 320 to record environmental data in real time. S4. Introducing a retrieval and sharing mechanism. Enter keywords and use the data retrieval module 245 to perform sample data retrieval operations. Keywords include but are not limited to sample ID, donor ID, and collection date. Different roles have different access rights through the data application module 246. Specifically, in the retrieval and sharing mechanism, the data retrieval module 245 supports a variety of retrieval methods. For example, inputting keywords such as sample ID, donor ID, collection date, etc. can be used to perform matching searches in the database 210. For example, advanced searches can be performed, such as combined searches based on the biological characteristics of the sample (such as the expression level of a specific gene, the proportion of a certain cell type), experimental related information (such as the name of the experimental project involved, the experimental stage), quality indicators, etc.; S5. Different roles can retrieve and access the data information of the biological sample library 220 through the mobile terminal 400 and submit remote application for use based on the above data information. The sample outbound module 247 receives the remote application request signal and processes the biological sample outbound. Specifically, users of different roles can log in to the system through mobile terminals 400 such as mobile phone APP and tablet computers to retrieve and access the data information of the biological sample library 220. When a user has a need to use a sample, he fills out a remote application form on the mobile terminal 400 based on the queried data information and submits the application. The form content includes the purpose of the application, sample type, quantity, time limit and applicant. After receiving the remote application request signal, the sample outbound module 247 reviews the application and automatically generates a remote application outbound order based on the review result. The warehouse manager finds the corresponding sample according to the above-mentioned outbound order information, performs the outbound operation, and updates the sample inventory status. After the outbound operation is completed, the sample outbound module 247 sends the remote application request processing result to the mobile terminal 400. If the application is approved, the detailed information of the outbound sample is sent to the mobile terminal 400. S6. The display panel 230 displays the data information of the biological sample library 220 in real time, and regularly performs quality inspections on the samples to generate quality inspection reports.

[0030] Specifically, the display panel 230 intuitively presents the data information of the biological sample library 220 in various forms such as charts, maps, and lists. The displayed content includes the total inventory, the distribution of the number of samples of various types, real-time data of the storage environment, recent in-and-out records, etc., which makes it convenient for managers to quickly understand the operation status. The sampling rate of quality inspections is about 5%, which makes it convenient for managers to randomly select samples, conduct consistency verification between physical labels and database records, retest sample quality indicators, and provide a basis for sample quality monitoring and management.

[0031] Among them Figure 1 As shown, the roles in step S4 include library managers, researchers, ethics committees, and external partners; Specifically, the access rights of different roles include: The library manager's access scope includes the list of all samples in the biological sample library 220 and the real-time detection data of sample storage environment parameters. The library manager's operation rights include but are not limited to sample entry and exit operations, viewing monitoring, and printing identification notes; The researcher's access scope includes the sample data under his / her application project. The researcher's operation rights include but are not limited to submitting remote application use requests and viewing quality inspection reports. The ethics committee's access scope includes donor health records and experimental protocol-related sample information data. The ethics committee's operational authority includes but is not limited to approving use applications and accessing operation logs. The ethics committee can approve but cannot modify data; The access scope of external partners includes sample feature data, and the operation permissions of external partners include but are not limited to exporting sample feature data.

[0032] Example 1 Take the blood sample of cynomolgus monkey as an example to perform step S1: The user uses the collection device 110 to scan the crab-eating macaque ear tag (number R007) to automatically associate the donor's basic information (6-year-old female, SPF level, not vaccinated with specific vaccines). 5 ml of venous blood is collected using a blood collection needle and injected into a cryopreservation tube containing EDTA anticoagulant. The collection device automatically records the collection time (2025-05-XX-XX:XX) and the collection site (upper limb vein). The first environmental sensing device 120 simultaneously collects the laboratory temperature and humidity (23°C, 45%RH). The first camera device 130 takes a close-up of the sample tube label and a photo of the monkey's face. All data is uploaded to the database 210 of the management terminal 200 in real time.

[0033] Preprocessing operations are performed on the initial collected data: the data preprocessing module 242 automatically converts the collection time into a timestamp format, completes the default fields (such as the default growth status is "healthy"), and marks the uncollected parameters.

[0034] Example 2 Take the rhesus monkey brain tissue sample as an example to perform step S2: The data quality inspection module 243 presets the quality parameters of rhesus monkey brain tissue samples: cell activity ≥85%, RNA integrity ≥6.5, and uses instruments to detect cell activity and RNA concentration. The quality parameters are used to determine whether the sample is qualified. If the sample cell activity test is 75%, it is automatically marked as a sample to be processed, triggering a manual review process.

[0035] Example 3 Take liquid nitrogen tank partition management as an example to perform step S3: The storage box 310 divides the liquid nitrogen tank into three areas. Area 1 stores Alzheimer's disease monkey samples and the label color is marked as red. Area 2 stores normal control monkey samples and the label color is marked as blue. Area 3 is set as a reserved emergency storage location and the label color is marked as yellow. The storage planning module 244 allocates the samples to the freezing location A layer B in area 1 according to the sample type (brain tissue) and experimental project. The physical location is coded as "liquid nitrogen tank-1-AB" and bound to the sample ID.

[0036] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A biological sample information data management method, characterized in that: The specific steps are as follows: S1. Initially collect the biological sample in advance and upload it to the database (210), and perform pre-processing operations on the initial collection information data of the biological sample; S2. Performing quality control and traceability operations on the biological samples, using a data quality inspection module (243) to develop biological sample quality parameters, performing automatic verification operations before the biological samples are stored in a database to determine whether the biological samples are qualified, and establishing a biological sample database (220) based on the pre-processed qualified biological sample data; S3, obtaining a storage map of the storage box (310) and storage conditions of the biological samples in the database (210), planning the storage location of the biological samples in the storage box (310) based on the pre-processed biological sample data, binding the physical location of the sample with the sample identifier, monitoring the storage environment in real time, and regularly updating the sample status; S4. Introducing a retrieval and sharing mechanism, inputting keywords to use the data retrieval module (245) to perform sample data retrieval operations. Keywords include but are not limited to sample ID, donor ID, and collection date. Different roles have different access rights through the data application module (246); S5. Different roles can retrieve and access the data information of the biological sample library (220) through the mobile terminal (400), and make a remote application for use operation based on the above data information. The sample outbound module (247) receives the remote application request signal and performs outbound processing on the biological sample; S6. The display panel (230) displays the data information of the biological sample library (220) in real time, and regularly conducts quality inspections on the samples to generate quality inspection reports.

2. A biological sample information data management method according to claim 1, characterized in that: The initial biological sample collection information data in step S1 includes basic information, health data and collection scenarios. The basic information includes but is not limited to species, strain, gender, age, weight, genetic background, and growth status. The health data includes but is not limited to vaccination history, microbiological test results, and clinical indicators. The collection scenario includes but is not limited to imaging data, behavioral record data, sample type, collection site, collection time, and parameter data of the collection environment.

3. A biological sample information data management method according to claim 1, characterized in that: The specific process of determining whether the biological sample is qualified in step S2 is as follows: the data quality inspection module (243) pre-sets the qualified range of the biological sample quality parameters, and the quality parameters include but are not limited to hemoglobin content, white blood cell count, cell activity, and nucleic acid concentration. Before the biological sample is put into storage, the data quality inspection module (243) automatically retrieves the sample-related test data and compares and verifies it with the preset quality parameters. If the test data of the biological sample is within the qualified range, the sample is determined to be qualified and stored in the storage box (310). If the test data of the biological sample is abnormal, the sample is determined to be unqualified, and the sample is automatically marked as a sample to be processed, and the back-end management personnel are notified to isolate and store the sample for manual review.

4. A biological sample information data management method according to claim 1, characterized in that: The roles in step S4 include library managers, researchers, ethics committees, and external partners.

5. The biological sample information data management method according to claim 1, characterized in that: The step S5 specifically includes: S51, different roles log in to the system through the mobile terminal (400), retrieve and access the data information of the biological sample library (220), and when the user has a sample use demand, based on the retrieved data information, fill out a remote application form on the mobile terminal (400) and submit the application, wherein the form content includes the application purpose, sample type, quantity, time limit and applicant; S52, the sample outbound module (247) reviews the application after receiving the remote application use request signal, and automatically generates a remote application use outbound order based on the review result; S53. The warehouse manager finds the corresponding sample based on the delivery order information, performs delivery operations, and updates the sample inventory status; S54. After the outbound operation is completed, the sample outbound module (247) sends the remote application request processing result to the mobile terminal (400). If the application is approved, the detailed information of the outbound sample is sent to the mobile terminal (400).

6. A biological sample information data management system, characterized in that: The invention comprises a sample collection device (100), a management terminal (200), a sample storage device (300) and a mobile terminal (400), wherein the sample collection device (100) comprises: A collection device (110) is used to complete the initial collection operation of biological samples such as blood, tissue, and cerebrospinal fluid, and synchronize the initial collection information data to the management terminal (200); A first environmental sensing device (120) is used to collect environmental data of a sample collection site in real time and synchronize the data to a management terminal (200); The first camera device (130) is used to capture individual characteristics of biological samples, capture photos and videos of the collection process, and bind the captured image data with sample information.

7. A biological sample information data management system according to claim 6, characterized in that: The management terminal (200) comprises: A database (210) for storing data on the entire life cycle of biological samples, including original collection data, pre-processed data, quality inspection data, and sample usage records; A biological sample library (220) is used to classify, store and manage pre-processed and quality-qualified biological sample data; A display panel (230) for displaying key data of the biological sample library (220) in real time in the form of a visual panel; The integrated module component (240) is used to implement data processing, process control and authority allocation operations.

8. A biological sample information data management system according to claim 7, characterized in that: The integrated module assembly (240) includes: A data acquisition module (241) is used to receive the raw data uploaded by the sample acquisition device (100) and perform preliminary verification on the data; A data preprocessing module (242) is used to unify the format of the raw data, perform data cleaning and standardization processing, and convert the data into a format that meets the storage standards of the biological sample library (220); Data quality inspection module (243), used to set sample quality parameters and perform automatic verification and manual review operations before storage; A storage planning module (244) is used to plan sample storage locations using sample data and storage conditions; Data retrieval module (245), used to provide retrieval function, supporting keyword retrieval and advanced retrieval; A data application module (246) is used to assign different levels of data access and operation permissions to users; The sample outbound module (247) is used to receive a sample use application submitted by the mobile terminal (400) and update the sample inventory status in real time.

9. The biological sample information data management system according to claim 6, characterized in that: The sample storage device (300) comprises: A storage box (310), comprising a low-temperature refrigerator with a built-in freezing position and a liquid nitrogen tank, for storing biological samples to achieve sample classification storage and positioning effects; A second environment sensing device (320) is used to regularly monitor environmental parameters inside and outside the storage box (310) and synchronize the data to the management terminal (200); A second camera device (330), the second camera device (330) is installed outside the storage box (310) and is used to monitor the sample storage area in real time. The alarm (340) is used to determine whether the environmental parameters exceed a preset threshold value, trigger an audible and visual alarm when the threshold value is exceeded, and notify the backstage management personnel.

10. The biological sample information data management system according to claim 6, characterized in that: The management terminal (200) further includes a memory (250) and a processor (260), wherein the memory (250) is used to store a program for implementing the biological sample information data management method, and the processor (260) is used to execute the program for implementing the biological sample information data management method, so as to implement the steps of the biological sample information data management method according to any one of claims 1 to 5.

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