Body fluid specimen intelligent storage method and system, electronic equipment and storage medium

Abstract

The invention discloses a body fluid specimen intelligent storage method and system, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring sampling time and specimen types of a plurality of body fluid specimens in a target intelligent storage cabinet; based on each sampling time, determining a storage duration corresponding to each body fluid sample; when the body fluid specimens with the storage duration reaching the duration threshold value exist, the storage positions corresponding to the body fluid specimens are determined according to the specimen types of the body fluid specimens; generating a specimen storage path according to the storage position corresponding to each body fluid specimen and the position of the target intelligent storage cabinet, and controlling the target intelligent storage cabinet to carry out inspection operation based on the specimen storage path; and receiving the sampling time of each body fluid sample after the inspection operation is completed, and generating a body fluid sample storage report according to the sampling time and the sampling time of each body fluid sample. By implementing the technical scheme provided by the invention, the effect of improving the storage efficiency of the body fluid specimen is achieved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, system, electronic device and storage medium for intelligent storage of body fluid specimens. Background Art

[0002] With the rapid development of medical technology, body fluid specimens play an increasingly important role in disease diagnosis. Body fluid specimens, such as urine and feces, need to be stored, processed and analyzed under scientific and rigorous conditions. Correct specimen storage management is not only related to the accuracy of test results, but also directly affects the efficiency of pathological research and clinical diagnosis.

[0003] At present, the existing method of storing body fluid specimens is usually to install a storage cabinet at a fixed location, and then medical staff regularly go to the storage cabinet to sample and store body fluid specimens, and keep statistics on the storage status of body fluid specimens. However, in actual applications, it is often difficult to keep statistics on the storage status of body fluid specimens in a timely manner, thereby reducing the storage efficiency of body fluid specimens. Summary of the invention

[0004] The present application provides a method, system, electronic device and storage medium for intelligent storage of body fluid specimens, which can improve the storage efficiency of body fluid specimens.

[0005] In a first aspect, the present application provides a method for intelligent storage of body fluid specimens, comprising: Obtain the sampling time and specimen type of multiple body fluid specimens in the target smart storage cabinet; Based on the sampling time, determining the storage time corresponding to each of the body fluid specimens; When there are body fluid specimens whose storage time reaches the time threshold, determining the storage location corresponding to each body fluid specimen according to the specimen type of each body fluid specimen; Generate a specimen storage path based on the storage location corresponding to each of the body fluid specimens and the location of the target smart storage cabinet, and control the target smart storage cabinet to perform a test sending operation based on the specimen storage path; The sampling time of each body fluid specimen after the inspection operation is completed is received, and a body fluid specimen storage report is generated according to the sampling time and the sampling time of each body fluid specimen.

[0006] In a second aspect of the present application, a body fluid specimen intelligent storage system is provided, the system comprising: A data acquisition module, used to acquire the sampling time and specimen type of multiple body fluid specimens in the target intelligent storage cabinet; A storage time determination module, used to determine the storage time corresponding to each of the body fluid specimens based on each of the sampling times; The inspection operation module is used to determine the storage location corresponding to each of the body fluid specimens according to the specimen type of each of the body fluid specimens when there is a body fluid specimen whose storage time reaches the time threshold; generate a specimen storage path in combination with the storage location corresponding to each of the body fluid specimens and the location of the target smart storage cabinet, and control the target smart storage cabinet to perform the inspection operation based on the specimen storage path; The storage report generating module is used to receive the sampling time of each body fluid specimen after the inspection operation is completed, and generate a body fluid specimen storage report according to the sampling time and the sampling time of each body fluid specimen.

[0007] In a third aspect of the present application, an electronic device is provided, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can implement an intelligent storage method for body fluid specimens when loaded and executed by the processor.

[0008] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements a method for intelligently storing body fluid specimens.

[0009] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: By adopting the above technical solution, the sampling time and storage time of body fluid specimens are obtained and monitored to ensure that the system can promptly discover specimens that need to be sent for inspection. This active monitoring mechanism based on time threshold avoids the risk of affecting the inspection quality due to long storage time of specimens. Secondly, the system automatically determines the optimal storage location according to the characteristics of different types of specimens and generates intelligent specimen storage paths. This intelligent scheduling mechanism not only improves the inspection efficiency, but also ensures that different types of specimens are stored in appropriate conditions. During the specimen inspection process, the system automatically records the sampling time and performs correlation analysis with the sampling time to achieve accurate tracking of the entire specimen storage process. By generating standardized body fluid specimen storage reports, the system provides medical staff with complete specimen management data, which facilitates the timely discovery and handling of abnormal situations during the storage process, thereby improving the storage efficiency of body fluid specimens. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a schematic diagram of a process of an intelligent storage method for body fluid specimens provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a body fluid specimen intelligent storage system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0011] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0012] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0013] In the description of the embodiments of the present application, words such as, for example, or for example are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as, for example, or for example in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as, for example, or for example is intended to present related concepts in a specific way.

[0014] In the description of the embodiments of the present application, the term "multiple" means two or more. For example, "multiple systems" means two or more systems, and "multiple screen terminals" means two or more screen terminals. In addition, the terms "first" and "second" are used only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean including but not limited to, unless otherwise specifically emphasized.

[0015] The present application embodiment provides a method for intelligent storage of body fluid specimens. In one embodiment, please refer to Figure 1 , Figure 1 This is a flow chart of the method for intelligent storage of body fluid specimens provided in the embodiment of the present application. The method can be implemented by a computer program, which can be integrated into an application or run as an independent tool application. The method can also be implemented by a single-chip microcomputer or run in a body fluid specimen intelligent storage system based on the von Neumann system. Specifically, the method can include the following steps: Step 101: Acquire the sampling time and specimen type of multiple body fluid specimens in the target intelligent storage cabinet; and determine the storage time corresponding to each body fluid specimen based on each sampling time.

[0016] Among them, the target intelligent storage cabinet refers to an intelligent mobile device for storing body fluid specimens, which has functions such as facial recognition, specimen scanning, temperature and humidity control, and can standardize the storage and management of body fluid specimens such as urine routine and stool routine. The storage cabinet is equipped with hardware devices such as high-definition cameras, touch screens, label scanners, and is equipped with rollers, which can be flexibly moved within the medical institution as needed.

[0017] Body fluid specimens refer to clinical specimens such as urine routine and stool routine used for medical examination and diagnosis, which are placed in special specimen boxes. These body fluid specimens need to be stored and transported under strictly controlled environmental conditions to ensure the freshness of the specimens and the accuracy of the test results.

[0018] The sampling time refers to the time point when the body fluid specimen is collected from the patient and placed in the target smart storage cabinet.

[0019] Specimen type refers to the specific category of body fluid specimens, such as urine routine test, stool routine test, etc.

[0020] The storage time refers to the time interval from when the body fluid specimen is placed in the target smart storage cabinet to the current moment.

[0021] First, it is necessary to obtain the sampling time and specimen type of multiple body fluid specimens in the target smart storage cabinet. This is because different types of body fluid specimens such as urine routine and stool routine have different storage requirements, and the length of storage time directly affects the detection quality of the specimen. For example, urine routine specimens are required to be stored for no more than 24 hours at 2-8°C, and stool routine specimens are required to be stored for no more than 12 hours under the same temperature conditions, so the sampling time of each body fluid specimen needs to be accurately recorded. In specific implementation, when the patient completes identity authentication through facial recognition and puts the body fluid specimen into the target smart storage cabinet, the system will automatically record the opening time of the storage unit cabinet door as the sampling time of the body fluid specimen, and obtain the specimen type information by scanning the specimen box label. In order to determine the storage time of the body fluid specimen, the system calculates the difference between the sampling time and the current time, and determines the storage time of each body fluid specimen based on the difference. In this way, the system can accurately obtain the sampling time and specimen type of the body fluid specimen, avoiding problems such as time recording errors and specimen type recording errors that may occur in traditional manual management. This method provides basic data support for the storage and management of body fluid specimens, and effectively improves the accuracy of storage and management of body fluid specimens.

[0022] Based on the above embodiment, as an optional embodiment, in step 101: obtaining the sampling time and sample type of multiple body fluid samples in the target smart storage cabinet, this step may also include the following steps: Step 201: In response to a patient's cabinet door opening request, collect the patient's facial image and specimen box label; and determine the specimen type of the body fluid specimen corresponding to the specimen box label in a database.

[0023] The cabinet door opening request refers to the operation signal sent by the patient to the target smart cabinet to open the cabinet door of the storage unit when the patient needs to store the body fluid specimen. This request needs to be verified by the system before it can be responded to, so as to ensure the safety of the body fluid specimen storage process.

[0024] Facial images refer to the digital image data of the patient's facial features collected by the camera of the target smart locker after receiving the locker door opening request. These image data contain facial feature information that can uniquely identify the patient, such as face shape, distribution of facial features and other key biometric features.

[0025] The specimen box label refers to the information mark affixed to the surface of the body fluid specimen box, which records key data such as patient information, specimen type, collection time, etc. The label adopts a coding format that can be recognized by the label scanner to ensure that the target smart storage cabinet can accurately read the specimen information.

[0026] Specifically, when a patient needs to store a body fluid specimen, he or she first sends a door opening request to the target smart storage cabinet. In order to ensure the safety and accuracy of the storage of body fluid specimens, the system needs to verify the patient's identity and accurately identify the type information of the body fluid specimen. This is because different types of body fluid specimens such as urine routine and stool routine have different storage requirements. If the specimen is stored incorrectly, the test results may be inaccurate. When the system receives the patient's cabinet door opening request, the camera of the target smart storage cabinet will automatically capture the patient's facial image, and the label scanner will scan the specimen box label in the patient's hand. The system matches the collected facial image with the pre-stored patient facial feature information to verify the patient's identity; at the same time, the scanned specimen box label information is matched with the preset specimen type information in the database to determine the specific type of the body fluid specimen, such as urine routine or stool routine. Through this double verification method, the system can effectively prevent the body fluid specimen from being stored incorrectly or being taken by others, and accurately identify the specimen type, providing basic information for subsequent storage management.

[0027] Step 202: Compare the facial image with the patient image in the preset patient database; when the matching degree between the facial image and the patient image exceeds the matching degree threshold, open the storage unit door corresponding to the specimen type in the target smart storage cabinet, and use the opening time of the storage unit door as the sampling time of the patient's body fluid specimen.

[0028] Among them, the storage unit door refers to the controllable switch device of each independent storage unit in the target intelligent storage cabinet. Each storage unit door is equipped with an electronic lock control system and a temperature and humidity sensor, which can be opened or closed according to system instructions and maintain the stability of the storage environment.

[0029] Specifically, to ensure the safety and accuracy of the body fluid specimen storage process, the system needs to strictly verify the patient's identity. By comparing the currently collected facial image with the patient image in the preset patient database, it can effectively prevent others from impersonating others to store specimens, while ensuring the traceability of specimen storage information. The system matches the facial image collected by the target smart storage cabinet with the patient image stored in the preset patient database. The system first extracts facial feature points from the collected facial image, including the position and morphological information of key parts such as eyes, nose, and mouth, and then calculates the similarity between these feature points and the feature points of the patient image in the preset patient database to obtain the facial feature matching degree. When the calculated matching degree exceeds the preset matching degree threshold, it can be identified as the person's operation, and the system automatically opens the corresponding storage unit cabinet door in the target smart storage cabinet according to the identified specimen type. At the same time, the system automatically records the opening time of the storage unit cabinet door as the sampling time of the body fluid specimen. This automatic recording method avoids the time error that may be caused by manual registration. Through this intelligent verification method based on facial feature matching, the system realizes the precise management of the body fluid specimen storage process. Compared with traditional password or card verification methods, facial feature recognition has higher security and accuracy.

[0030] It should be noted that in this intelligent storage method for body fluid specimens, some special scenarios are also considered, such as when the patient is unable to move, family members or friends deposit body fluid specimens on his behalf. In this case, the system will scan the QR code on the specimen box or the patient's medical record barcode and other information for identity authentication, thereby opening the corresponding storage unit cabinet door. Specifically, if it is detected that it is not the patient himself but other people who enter the storage area, the system will guide them to scan the QR code of the specimen box they carry or enter information such as the patient's medical record number. Once the system matches the patient identity corresponding to the QR code or medical record number in the database, the cabinet door of the specimen type storage unit corresponding to the patient can be opened, allowing family members or friends to deposit specimens on his behalf. Similarly, the system will record the time when the cabinet door is opened as the sampling time of the patient's specimen. Through this design, this method not only covers the scenario where the patient personally deposits the specimen under normal circumstances, but also takes into account the special circumstances when the patient is unable to move, and realizes comprehensive intelligent storage management.

[0031] The intelligent storage method for body fluid specimens also takes into account the situation where relevant medical staff take the initiative to store and retrieve specimens. In this case, the system will authenticate and authorize the identity of the medical staff by verifying the QR code or barcode on the medical staff's work permit, and then open the corresponding storage unit cabinet door to allow the medical staff to deposit the specimen. Specifically, if the system detects that the person entering the storage area is a hospital staff member, it will prompt him to show his work permit and place the QR code or barcode on the work permit in the scanning area. The system matches the code in the staff information database. Once the valid identity and the authority to store the specimen are confirmed, the cabinet door of the specimen type storage unit corresponding to the department to which the medical staff belongs will be opened. At the same time, the system will record the time when the cabinet door is opened as the sampling time of the batch of specimens. This design makes this method not only applicable to the scenarios where patients store specimens by themselves and their families store specimens on their behalf, but also covers the situation where medical staff take the initiative to store specimens, thereby further expanding the scope of application. Through the identity authentication of the work permit code, it can ensure that only personnel with storage authority can open the cabinet door, which improves the security of the system. Automatic recording of sampling time provides accurate time data support for subsequent links.

[0032] Based on the above embodiment, as an optional embodiment, in step 101: determining the storage time corresponding to each body fluid specimen based on each sampling time, this step may also include the following steps: Step 203: The time difference between each sampling time and the current time is used as the initial storage time corresponding to each body fluid specimen.

[0033] The initial storage time refers to the actual time interval from the moment the body fluid specimen is placed in the target intelligent storage cabinet to the current moment. This time interval is obtained by calculating the difference between the opening time of the storage unit cabinet door (i.e., sampling time) and the current time of the system, reflecting the basic storage time of the body fluid specimen in the storage cabinet.

[0034] Specifically, in order to accurately monitor the storage status of body fluid specimens, the system needs to calculate the storage time of each body fluid specimen. Since different types of body fluid specimens such as urine routine and stool routine have different storage time requirements, accurately calculating the storage time is of great significance for ensuring the reliability of the test results. The system first obtains the sampling time of each body fluid specimen in the target intelligent storage cabinet, that is, the opening time of each storage unit cabinet door, and obtains the current time of the system at the same time. By calculating the time difference between the sampling time of each body fluid specimen and the current time, the initial storage time corresponding to each body fluid specimen is obtained. For example, if the storage unit cabinet door opening time of a urine routine specimen is 8 am and the current time is 2 pm, the initial storage time of the specimen is 6 hours. This calculation method based on the actual time difference ensures the accuracy of the storage time data. Through this automated storage time calculation method, the system can grasp the storage status of each body fluid specimen in real time.

[0035] Step 204: Obtain the storage temperature and storage humidity of the target smart storage cabinet; determine the time correction coefficient corresponding to the storage temperature and storage humidity in a preset time correction coefficient mapping table.

[0036] The preset time correction factor mapping table refers to a data comparison table that records the time correction factors corresponding to different storage temperature and storage humidity combinations. The mapping table is established based on the degradation law of body fluid specimens under different environmental conditions, and includes the correlation between temperature, humidity and specimen storage time.

[0037] The time correction factor refers to a numerical parameter that reflects the degree of influence of the storage environment on the preservation quality of body fluid specimens. This factor is determined according to the degree of deviation of the actual storage temperature and storage humidity, and is used to adjust the initial storage time to accurately evaluate the actual effective storage time of the specimen under specific environmental conditions.

[0038] Specifically, since the storage environment has an important influence on the preservation quality of body fluid specimens, the system needs to correct the initial storage time according to the actual storage temperature and storage humidity. This is because fluctuations in temperature and humidity will accelerate or slow down the degradation process of the specimen, thereby affecting the actual effective storage time of the specimen. In specific implementation, the system collects the storage temperature and storage humidity data of each storage unit in real time through the temperature and humidity sensors in the target intelligent storage cabinet. After obtaining these environmental parameters, the system will query the pre-established time correction coefficient mapping table, which records the time correction coefficients corresponding to different temperature and humidity combinations. For example, when the storage temperature is higher than the preset range or the storage humidity is abnormal, the corresponding time correction coefficient will increase, indicating that the adverse environmental factors have accelerated the degradation process of the specimen and the actual storage time limit needs to be shortened. Through this time correction mechanism based on environmental parameters, the system can more accurately evaluate the actual storage status of body fluid specimens and improve the accuracy of body fluid specimen storage management.

[0039] Step 205: Multiply each initial storage time by the time correction coefficient to obtain the storage time corresponding to each body fluid specimen.

[0040] Specifically, first obtain the initial storage time of each body fluid specimen in the target intelligent storage cabinet, as well as the time correction coefficient determined from the preset time correction coefficient mapping table according to the current storage temperature and storage humidity. Then, the system multiplies the initial storage time of each body fluid specimen by the corresponding time correction coefficient to obtain the actual storage time that takes into account environmental influences. For example, the initial storage time of a body fluid specimen is 6 hours, and the time correction coefficient corresponding to the current environmental conditions is 1.2. The actual storage time of the specimen is 7.2 hours, indicating that the unfavorable storage environment accelerates the degradation process of the specimen. Through this storage time calculation method that combines environmental factors, the system achieves an accurate assessment of the storage status of body fluid specimens.

[0041] Step 102: When there are body fluid specimens whose storage time reaches a time threshold, the storage location corresponding to each body fluid specimen is determined according to the specimen type of each body fluid specimen.

[0042] The storage location can be understood as the location of the candidate department determined based on the specimen type and inspection requirements. The system will assign the body fluid specimen to the corresponding inspection area, i.e., the candidate department, according to its specific type, such as urine routine, stool routine, etc. For example, urine specimens that require routine analysis will be assigned to the specimen processing area of ​​the clinical laboratory, while specimens that require bacterial culture will be assigned to the microbiology laboratory, ensuring that each specimen can receive professional inspection and processing.

[0043] Specifically, since different types of body fluid specimens have different storage time requirements, when the storage time of the specimen approaches or reaches the preset time threshold, it needs to be processed in time to ensure the accuracy of the test results. The system compares the storage time of each body fluid specimen with the corresponding time threshold, identifies the specimens that need to be processed in time, and determines its subsequent storage location according to the specimen type to achieve orderly circulation of specimens. In specific implementation, first check the storage time of all body fluid specimens in the target intelligent storage cabinet and compare it with the preset time threshold. When it is found that there are body fluid specimens whose storage time reaches the time threshold, the system will read the specimen box label information of these specimens and identify their specimen types. According to the processing requirements of different specimen types, the system automatically determines the subsequent storage location of each specimen. For example, for urine routine specimens with a storage time of 4 hours, the system will determine its storage location as the specimen processing area of ​​the clinical laboratory; while for stool routine specimens with a storage time of 2 hours, the system may determine its storage location as the microbiology laboratory. Through this intelligent diversion mechanism based on storage time and specimen type, the system achieves timely processing and reasonable distribution of body fluid specimens. This automated specimen circulation management method not only improves the efficiency of specimen processing, but also ensures that all types of specimens can be tested in time within the effective storage time limit, effectively avoiding the problem of specimen quality degradation due to long storage time, and improving the overall quality of medical examinations.

[0044] Based on the above embodiment, as an optional embodiment, in step 102: determining the storage location corresponding to each body fluid specimen according to the specimen type of each body fluid specimen, this step may also include the following steps: Step 301: For each body fluid specimen, multiple candidate departments corresponding to the specimen type of the body fluid specimen and the current number of specimens submitted for inspection by each candidate department are obtained.

[0045] Among them, candidate departments refer to hospital departments that have the qualifications and capabilities to test the corresponding specimen types. These departments are equipped with professional testing equipment and qualified testing personnel, and can independently complete the testing of specific types of body fluid specimens.

[0046] The number of specimens sent for inspection refers to the total number of body fluid specimens being processed and waiting to be processed by a specific candidate department at the current moment. It includes the number of specimens that have been delivered to the department but have not yet started to be inspected, as well as the total number of specimens that are undergoing the inspection process in the department, reflecting the current actual workload level of the department.

[0047] Specifically, in order to achieve the reasonable allocation of body fluid specimens and the balanced utilization of inspection resources, the system needs to comprehensively consider the specimen type and the inspection capacity and current workload of each candidate department. By obtaining the number of specimens submitted for inspection by the candidate departments, it is possible to avoid the situation where some departments have a backlog of specimens while other departments are idle. In specific implementation, the system first queries the list of candidate departments that can process specimens of this type from the preset department configuration database according to the specimen type of the body fluid specimen. For example, for routine urine specimens, its candidate departments may include multiple clinical laboratory branches, each of which has corresponding inspection equipment and professionals. Then, the system obtains the current number of specimens submitted for inspection by these candidate departments in real time, including the number of specimens received for inspection and the number of specimens in the inspection process. These data reflect the current workload of each department. Through this information collection mechanism based on specimen type and department workload, the system can provide an important basis for subsequent department allocation decisions. This intelligent resource allocation method not only improves the utilization efficiency of inspection resources, but also effectively shortens the waiting time for specimens to be inspected, and ensures the timely output of inspection results. Compared with the traditional fixed allocation method, this dynamic balance management mechanism significantly improves the operating efficiency of the hospital's testing system.

[0048] Step 302: Among the candidate departments, the location of the candidate department with the least number of specimens submitted for inspection is used as the storage location corresponding to the body fluid specimen.

[0049] Specifically, in order to achieve balanced distribution of body fluid specimen inspection tasks and efficient use of medical resources, the system adopts an intelligent allocation strategy based on workload. By allocating body fluid specimens to the candidate department with the least number of specimens submitted for inspection, the problem of uneven distribution of inspection tasks among departments can be avoided, and the overall inspection efficiency can be improved. In specific implementation, the system first compares the current number of specimens submitted for inspection of each candidate department. For example, the three candidate departments for a body fluid specimen are the main laboratory of the clinical laboratory department (currently 30 specimens submitted for inspection), the outpatient inspection branch (currently 15 specimens submitted for inspection), and the emergency rapid inspection room (currently 25 specimens submitted for inspection). The system will determine the location of the outpatient inspection branch with the least number of specimens submitted for inspection as the storage location of the body fluid specimen. This selection ensures that new inspection tasks will be assigned to departments with relatively light workloads, which helps to maintain a balance in workload among departments. Through this location allocation mechanism based on the principle of minimum workload, the system achieves dynamic and balanced allocation of body fluid specimens. Compared with the traditional fixed allocation method, this intelligent task allocation method can be adjusted according to the real-time working status of each department, effectively avoiding the situation where specimens are piled up in some departments while resources in other departments are idle.

[0050] Step 103: Generate a specimen storage path based on the storage location corresponding to each body fluid specimen and the location of the target smart storage cabinet, and control the target smart storage cabinet to perform a test operation based on the specimen storage path.

[0051] The specimen storage path refers to the optimal transportation route for body fluid specimens from the target intelligent storage cabinet to the designated storage location. The path contains a series of specific path node information, such as key path points, transfer channels, elevator locations, etc. in the building, forming a complete navigation sequence.

[0052] The inspection operation refers to a series of automated specimen transportation actions performed by the intelligent storage cabinet according to the specimen storage path. These actions include a series of standardized operation processes such as specimen classification and sorting, loading preparation, transportation according to the planned path, and handover after arriving at the destination.

[0053] Specifically, to ensure that body fluid specimens can be safely and efficiently transferred from the target intelligent storage cabinet to the designated storage location, the system needs to plan the optimal specimen storage path based on the hospital building layout and transportation conditions. Through intelligent path planning and automated inspection control, the risk of manual operation can be reduced and the turnover efficiency of specimens can be improved. In specific implementation, the system first obtains the current position coordinates of the target intelligent storage cabinet and the storage position coordinates corresponding to each body fluid specimen. Based on the electronic map data of the hospital, the system comprehensively considers factors such as the floor distribution, channel connection relationship, and elevator location of the building, and uses an intelligent path planning algorithm to calculate the optimal specimen storage path. For example, for specimens that need to be transferred from the intelligent storage cabinet on the first floor of the outpatient building to the laboratory on the third floor of the inpatient department, the system will generate a navigation sequence containing specific path points, such as the west corridor on the first floor of the outpatient building to the medical channel to the inpatient elevator to the east corridor on the third floor to the laboratory. Subsequently, the system controls the target intelligent storage cabinet to perform the corresponding inspection operation according to the generated specimen storage path. When the intelligent storage cabinet transports the specimen to the designated storage location according to the specimen storage path, the system will enter a waiting state. The relevant medical staff need to show their exclusive identity code, which can be the QR code or barcode on the work permit, and the scanning device of the smart storage cabinet will scan and identify it. The system will verify whether the medical staff has the receiving authority. Only authorized medical staff can complete identity verification and take specimens. Through this intelligent path planning and automated inspection control mechanism, the system realizes the full process management of body fluid specimens from storage to inspection. This automated labeling and circulation method not only reduces the risk of errors in manual operations, but also significantly improves the efficiency and accuracy of specimen transportation.

[0054] Based on the above embodiment, as an optional embodiment, in step 103: combining the storage location corresponding to each body fluid specimen and the location of the target intelligent storage cabinet to generate a specimen storage path, this step may also include the following steps: Step 401: Taking the location of the target intelligent storage cabinet as the starting point, a plurality of connecting paths passing through the storage locations corresponding to all body fluid specimens are determined.

[0055] The connected path refers to a complete transportation route starting from the target intelligent storage cabinet and passing through the storage locations of all the body fluid specimens to be delivered in sequence. This path ensures that all specimens in a delivery mission can be delivered to the designated location, forming a complete delivery loop.

[0056] Specifically, in order to achieve efficient and unified distribution of multiple body fluid specimens, the system needs to plan an optimal transportation path that can cover all storage locations. By rationally planning the connection path, repeated round trips can be avoided, distribution efficiency can be improved, and transportation costs can be reduced. In specific implementation, the system first takes the current location of the target smart storage cabinet as the starting point, and based on the electronic map data of the hospital, uses an intelligent path planning algorithm to calculate multiple feasible paths that can pass through the corresponding storage locations of all body fluid specimens in sequence. For example, when body fluid specimens need to be sent to the clinical laboratory, microbiology laboratory, and pathology department respectively, the system will generate multiple optional connection path solutions, such as smart storage cabinet to clinical laboratory to microbiology laboratory to pathology department, smart storage cabinet to microbiology laboratory to pathology department to clinical laboratory department, and other distribution routes in different orders. In the process of path planning, the system will consider actual factors such as the spatial layout, floor distribution, and channel connection status of the hospital building to ensure that each generated connection path is actually executable. Through this multi-path planning mechanism, the system provides sufficient alternatives for subsequent optimal path selection. This intelligent path planning method not only improves the flexibility of specimen distribution, but also lays the foundation for achieving the most optimized distribution plan.

[0057] Step 402: Acquire monitoring video information corresponding to each connected path, and identify the crowd density and crowd moving speed in each monitoring video information.

[0058] Specifically, to ensure the safety and efficiency of specimen distribution, the system needs to understand the actual traffic conditions of each connected path in real time. By analyzing the flow of people on the path, the risk of delays or collisions that may occur when the smart storage cabinet moves in crowded areas can be avoided, so as to select the optimal distribution route. In specific implementation, the system first calls the real-time video data of each monitoring point in the hospital to obtain the monitoring video information of the area passed by each connected path. For example, when a connected path passes through the outpatient hall, medical channel and inpatient corridor, the system will obtain the corresponding monitoring video data of these areas. Subsequently, the system processes the monitoring video information through the video image analysis algorithm, identifies the number and distribution of people in the picture, and calculates the crowd density data; at the same time, through the continuous frame analysis technology, the movement trajectory of people in the picture is tracked to calculate the overall movement speed of the crowd. These data intuitively reflect the real-time traffic conditions of each path segment, such as the crowd density of the outpatient hall is 3 people per square meter, and the average movement speed is 0.5 meters per second. Through this path status monitoring mechanism based on video analysis, the system can timely grasp the actual traffic conditions of each connected path. This dynamic path status analysis not only improves the scientific nature of the distribution path selection, but also prevents potential distribution risks, providing an important decision-making basis for the safe and efficient operation of the smart storage cabinet. Compared with the fixed path distribution mode, this intelligent path evaluation method can better adapt to the dynamic changes of the hospital environment and improve the efficiency of specimen distribution.

[0059] Step 403: Perform weighted summation on each crowd density and crowd moving speed to obtain the congestion level value of each connected path; and use the connected path with the smallest congestion level value as the sample storage path.

[0060] The congestion level refers to a comprehensive evaluation index obtained by weighted calculation of the density and speed of pedestrian flow on the connected path. This index quantifies the difficulty of the path in numerical form, reflecting the traffic resistance that a specific path may encounter during actual transportation.

[0061] Specifically, in order to select the most suitable route for specimen distribution from multiple connected paths, the system needs to quantitatively evaluate the traffic conditions of each path. By scientifically weighting the two key indicators of crowd density and crowd moving speed, a more objective and accurate path congestion evaluation result can be obtained. In specific implementation, the system first assigns reasonable weight coefficients to crowd density and crowd moving speed. For example, considering that crowd density has a great impact on the passage of smart storage cabinets, the weight of crowd density can be set to 0.7 and the weight of crowd moving speed can be set to 0.3. For a certain connected path, if its average crowd density is 2 people per square meter and the crowd moving speed is 0.8 meters per second, the calculation formula for its congestion degree value is: congestion degree value = 2×0.7+(1-0.8)×0.3=1.46. After the system performs the same calculation on all connected paths, it selects the path with the smallest congestion degree value as the final specimen storage path. For example, when the congestion values ​​of the three candidate connected paths are 1.46, 1.82, and 1.25, respectively, the system will select the path with a congestion value of 1.25 as the specimen storage path. Through this path selection mechanism based on weighted calculation, the system realizes intelligent optimization of the distribution path. This scientific path evaluation method not only takes into account multiple influencing factors, but also reflects the actual importance of each factor through reasonable weight allocation, thereby ensuring that the selected specimen storage path has the best traffic conditions.

[0062] Based on the above embodiment, as an optional embodiment, in step 103: controlling the target intelligent storage cabinet to perform the inspection operation based on the specimen storage path, this step may also include the following steps: Step 404: Obtain the specimen inclination angle and specimen acceleration of each body fluid specimen in the target intelligent storage cabinet during the inspection operation.

[0063] The specimen tilt angle refers to the deflection angle of the body fluid specimen container relative to the horizontal plane during transportation in the smart storage cabinet. This angle is measured in real time by an angle sensor, reflecting the posture change of the specimen container in three-dimensional space, and is an important parameter for evaluating specimen stability.

[0064] Specimen acceleration refers to the rate of change of velocity experienced by the body fluid specimen container during transportation in the smart storage cabinet. This acceleration is measured in real time by an acceleration sensor and includes the acceleration components of the specimen in three directions, reflecting the magnitude of the instantaneous force applied to the specimen container during movement.

[0065] Specifically, to ensure the safety and stability of body fluid specimens during transportation, the system needs to monitor the state changes of specimens in the smart storage cabinet in real time. By detecting the tilt angle and acceleration parameters of the specimens, abnormal conditions that may cause damage or leakage of the specimens can be discovered in time, so that corresponding protective measures can be taken. In specific implementation, the system monitors the state of body fluid specimens during the inspection operation in real time by installing angle sensors and acceleration sensors in the specimen storage area of ​​the smart storage cabinet. The angle sensor continuously collects the spatial posture data of the specimen container and records the change in the tilt angle of the specimen relative to the horizontal plane; at the same time, the acceleration sensor detects the acceleration changes to which the specimen is subjected during transportation in real time. For example, when the smart storage cabinet turns or passes through a ramp, the system will record that the tilt angle of the specimen may reach 15 degrees and the acceleration value is 0.5 meters per square second; when the smart storage cabinet is started and stopped, the specimen may experience an acceleration change of 0.3 meters per square second. These data intuitively reflect the physical state changes of the specimens during transportation. Through this real-time specimen status monitoring mechanism, the system can fully grasp the stability of body fluid specimens during the inspection process. This dynamic monitoring can not only prevent the risk of specimen damage, but also provide a basis for optimizing transportation parameters.

[0066] Step 405: For each body fluid specimen, when the specimen tilt angle is greater than the angle threshold, or the specimen acceleration is greater than the acceleration threshold, the moving speed of the target intelligent storage cabinet is reduced.

[0067] Specifically, in order to prevent the body fluid specimens from being damaged or leaking due to violent shaking during transportation, the system needs to dynamically adjust the running speed of the smart storage cabinet according to the real-time state parameters of the specimens. By establishing an association control mechanism between the specimen state parameters and the running speed, speed adjustment measures can be taken in time when potential risks are discovered to ensure the safety of specimen transportation. The system first sets the threshold parameters for safe specimen transportation, such as the angle threshold is set to 20 degrees and the acceleration threshold is set to 0.8 meters per square second. When the system detects that the inclination angle of any body fluid specimen exceeds 20 degrees, or the acceleration exceeds 0.8 meters per square second, the speed adjustment mechanism is immediately triggered. For example, when the smart storage cabinet passes through the ramp at a speed of 1 meter per second, if the inclination angle of a specimen reaches 22 degrees, the system will automatically reduce the moving speed to 0.5 meters per second; when the smart storage cabinet performs a turning operation, if it is detected that the specimen is subjected to an acceleration of 1.0 meters per square second, the system will also reduce the running speed until the specimen state parameters return to a safe range. Through this threshold-based speed adjustment mechanism, the system realizes intelligent control of the specimen transportation process. This dynamic speed adjustment method can not only effectively prevent the risk of specimen damage, but also ensure the best balance between transportation efficiency and safety. Compared with the fixed speed transportation mode, this adaptive speed control strategy can better adapt to the needs of different transportation scenarios and improve the safety of medical specimen transportation.

[0068] Step 104: receiving the sampling time of each body fluid specimen after the inspection operation is completed, and generating a body fluid specimen storage report according to the sampling time and sampling time of each body fluid specimen.

[0069] The sampling time refers to the specific time when the staff of the testing department takes out the body fluid specimen from the smart storage cabinet and prepares to carry out the testing operation. This time point marks the end of the storage stage of the body fluid specimen in the smart storage cabinet and the beginning of the actual testing stage.

[0070] The body fluid specimen storage report refers to a complete specimen management record document automatically generated by the system based on the time data and storage status of the body fluid specimen from sampling to sampling. The report comprehensively records the storage details of the specimen in the smart storage cabinet and reflects the quality control of the specimen transportation and storage process.

[0071] Specifically, in order to comprehensively record and evaluate the time management of body fluid specimens during storage, the system needs to track and record the entire process from specimen collection to sampling. By generating a body fluid specimen storage report, complete specimen management data can be provided to medical institutions, helping to evaluate the quality of specimen storage and providing a basis for subsequent process optimization. In specific implementation, the system first receives the sampling time information of each body fluid specimen after the inspection operation is completed, and this information is automatically recorded by the specimen receiving system of the inspection department. The system associates the sampling time of each specimen with the previously recorded sampling time to calculate the actual storage time of the specimen. For example, if the sampling time of a blood specimen is 9:00 am and the sampling time is 10:30 am, the storage time of the specimen is 90 minutes. Based on these time data, the system automatically generates a body fluid specimen storage report, which includes key information such as specimen number, specimen type, sampling time, sampling time, storage time, storage temperature, etc., and also marks whether there are abnormal situations such as overtime storage. Through this automated report generation mechanism, the system can accurately record and monitor the entire specimen storage process. This complete storage record not only meets the traceability requirements of medical quality management, but also provides data support for optimizing the specimen storage process.

[0072] Based on the above embodiment, as an optional embodiment, in step 104: generating a body fluid specimen storage report according to the sampling time and sampling time of each body fluid specimen, this step may also include the following steps: Step 501: The difference between the sampling time and the sampling time of each body fluid specimen is used as the actual storage time of each body fluid specimen.

[0073] Specifically, in order to accurately evaluate the storage of body fluid specimens in the smart storage cabinet, the system needs to accurately calculate the actual storage time of each specimen. By calculating the time difference between the sampling time and the sampling time, the actual storage time of the specimen can be obtained, which is an important basis for evaluating the quality of specimen storage. In specific implementation, the system adopts the time difference calculation method to subtract the sampling time from the sampling time to obtain the actual storage time of the specimen. For example, the sampling time of a serum specimen is 9:00 am on January 15, 2024, and the sampling time is 10:30 am on January 15, 2024. The system automatically calculates that the actual storage time of the specimen is 90 minutes. The system performs the same calculation for each body fluid specimen and records the calculation results in the specimen storage report. When the storage time exceeds the maximum allowable storage time corresponding to the specimen type, the system will automatically mark it as overtime storage to remind relevant personnel. Through this storage time calculation mechanism based on time difference, the system realizes accurate time management of the specimen storage process. This automated time calculation method not only avoids possible errors in manual calculations, but also can promptly detect storage timeouts, thus ensuring the accuracy of specimen test results.

[0074] Step 502: Obtain the standard storage time corresponding to the specimen type of each body fluid specimen; calculate the deviation value between the actual storage time of each body fluid specimen and the corresponding standard storage time, and determine the timeliness evaluation result of each body fluid specimen based on each deviation value and a preset timeliness evaluation standard.

[0075] The preset time-limit evaluation standard refers to the quantitative judgment rule used by the system to determine the storage time-limit status of body fluid specimens. This standard divides the storage time-limit status of specimens into different evaluation levels by setting the deviation value range in different intervals, providing a clear basis for judgment for specimen management.

[0076] The timeliness evaluation result refers to the conclusion of the specimen storage timeliness judgment drawn by the system according to the storage time deviation value of the body fluid specimen and the preset timeliness evaluation standard. This result directly reflects the time management quality of the specimen during the storage process and is an important evaluation indicator in the specimen storage report.

[0077] Specifically, in order to evaluate whether the timeliness of the storage process of body fluid specimens meets medical requirements, the system needs to compare and analyze the actual storage time with the standard storage time. By calculating the time deviation and combining it with the preset evaluation criteria, the timeliness quality of specimen storage can be scientifically judged to ensure the reliability of the test results.

[0078] In specific implementation, the system first obtains the standard storage time of different types of body fluid specimens from the specimen management database. For example, the standard storage time of serum specimens is 120 minutes, and the standard storage time of urine specimens is 60 minutes. Subsequently, the system compares the actual storage time of each specimen with its corresponding standard storage time and calculates the deviation value. For example, if the actual storage time of a serum specimen is 90 minutes and its standard storage time is 120 minutes, the deviation value is -30 minutes. The system automatically determines that the timeliness evaluation result of the specimen is normal according to the preset timeliness evaluation standard (such as the deviation value within ±30 minutes is normal, -60 to -30 minutes is slightly early, 30 to 60 minutes is slightly overtime, and more than ±60 minutes is seriously abnormal). Through this evaluation mechanism based on standard time comparison, the system realizes the precise management of specimen storage timeliness. This automated evaluation method can not only detect abnormal storage timeliness in a timely manner, but also provide data support for medical institutions to optimize the turnover process of specimens.

[0079] Step 503: Fill the specimen type, sampling time, sampling time and timeliness evaluation result of each body fluid specimen into the initial report template to obtain a body fluid specimen storage report.

[0080] Specifically, in order to form a standardized and normalized storage record of body fluid specimens, the system needs to organize and present the key information of the specimen storage process in a unified format. By using the initial report template, the storage information record format of all specimens can be unified, which is convenient for medical staff to quickly consult and analyze. In the specific implementation, the system first calls the preset initial report template, which contains the standardized format and necessary fields for specimen information recording. The system fills the key information of each body fluid specimen into the corresponding fields in turn, including specimen type (such as serum, urine, etc.), sampling time (timestamp accurate to minutes), sampling time (timestamp accurate to minutes) and the timeliness evaluation result generated by the system (such as normal, slightly advanced, slightly overtime, seriously abnormal, etc.). For example, the information of a serum specimen will be filled in as follows: specimen type is serum, sampling time is 2024-01-15 09:00, sampling time is 2024-01-15 10:30, and the timeliness evaluation result is normal. The system fills in the information of all specimens in this format and finally generates a complete body fluid specimen storage report. Through this standardized report generation mechanism, the system realizes the standardized management of specimen storage information. This automated report generation method not only ensures the integrity and accuracy of information records, but also provides a clear data presentation format, which facilitates medical staff to analyze and evaluate storage quality.

[0081] Reference Figure 2 , is a body fluid specimen intelligent storage system provided in an embodiment of the present application, the system comprises: a data acquisition module, a storage time determination module, a test submission operation module, and a storage report generation module, wherein: A data acquisition module, used to acquire the sampling time and specimen type of multiple body fluid specimens in the target intelligent storage cabinet; A storage time determination module, used to determine the storage time corresponding to each body fluid specimen based on each sampling time; The inspection operation module is used to determine the storage location corresponding to each body fluid specimen according to the specimen type of each body fluid specimen when there is a body fluid specimen whose storage time reaches the time threshold; generate a specimen storage path in combination with the storage location corresponding to each body fluid specimen and the location of the target intelligent storage cabinet, and control the target intelligent storage cabinet to perform the inspection operation based on the specimen storage path; The storage report generating module is used to receive the sampling time of each body fluid specimen after the inspection operation is completed, and generate a body fluid specimen storage report according to the sampling time and sampling time of each body fluid specimen.

[0082] On the basis of the above embodiment, the data acquisition module is also used to respond to the patient's storage cabinet door opening request, collect the patient's facial image and specimen box label; determine the specimen type of the body fluid specimen corresponding to the specimen box label in the database; compare the facial image with the patient image in the preset patient database; when the match between the facial image and the patient image exceeds the matching threshold, open the storage unit cabinet door corresponding to the specimen type in the target smart storage cabinet, and use the opening time of the storage unit cabinet door as the sampling time of the patient's body fluid specimen.

[0083] On the basis of the above embodiment, the storage time determination module is also used to use the time difference between each sampling time and the current time as the initial storage time corresponding to each body fluid specimen; obtain the storage temperature and storage humidity of the target smart storage cabinet; determine the time correction coefficient corresponding to the storage temperature and storage humidity in the preset time correction coefficient mapping table; multiply each initial storage time by the time correction coefficient respectively to obtain the storage time corresponding to each body fluid specimen.

[0084] Based on the above embodiment, the inspection operation module is also used to obtain, for each body fluid specimen, multiple candidate departments corresponding to the specimen type of the body fluid specimen and the current number of specimens submitted for inspection in each candidate department; among each candidate department, the position of the candidate department with the least number of specimens submitted for inspection is used as the storage location corresponding to the body fluid specimen.

[0085] On the basis of the above-mentioned embodiment, the inspection operation module is also used to determine multiple connected paths passing through the storage locations corresponding to all body fluid specimens with the location of the target smart storage cabinet as the starting point; obtain the monitoring video information corresponding to each connected path, and identify the crowd density and crowd moving speed in each monitoring video information; perform weighted summation of each crowd density and crowd moving speed to obtain the congestion degree value of each connected path; and use the connected path with the smallest congestion degree value as the specimen storage path.

[0086] On the basis of the above embodiment, the inspection operation module is also used to obtain the specimen inclination angle and specimen acceleration of each body fluid specimen of the target smart storage cabinet during the inspection operation; for each body fluid specimen, when the specimen inclination angle is greater than the angle threshold, or the specimen acceleration is greater than the acceleration threshold, the moving speed of the target smart storage cabinet is reduced.

[0087] On the basis of the above embodiment, the storage report generation module is also used to use the difference between the sampling time and the sampling time of each body fluid specimen as the actual storage time of each body fluid specimen; obtain the standard storage time corresponding to the specimen type of each body fluid specimen; calculate the deviation value between the actual storage time of each body fluid specimen and the corresponding standard storage time, and determine the timeliness evaluation result of each body fluid specimen based on each deviation value and a preset timeliness evaluation standard; fill the specimen type, sampling time, sampling time and timeliness evaluation result of each body fluid specimen into the initial report template to obtain a body fluid specimen storage report.

[0088] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0089] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0090] The communication bus 302 is used to realize the connection and communication between these components.

[0091] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0092] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0093] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface diagrams and applications, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0094] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program for an intelligent storage method for body fluid specimens.

[0095] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call an application program stored in the memory 305 for a method for intelligent storage of body fluid specimens. When executed by one or more processors 301, the electronic device 300 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0096] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0098] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0099] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0100] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0101] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0102] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not recorded in the present disclosure. The description and examples are to be regarded as exemplary only.

Claims

1. A method for intelligent storage of body fluid specimens, characterized in that: include: Obtain the sampling time and specimen type of multiple body fluid specimens in the target smart storage cabinet; Based on the sampling time, determining the storage time corresponding to each of the body fluid specimens; When there are body fluid specimens whose storage time reaches the time threshold, determining the storage location corresponding to each body fluid specimen according to the specimen type of each body fluid specimen; Generate a specimen storage path based on the storage location corresponding to each of the body fluid specimens and the location of the target smart storage cabinet, and control the target smart storage cabinet to perform a test sending operation based on the specimen storage path; The sampling time of each body fluid specimen after the inspection operation is completed is received, and a body fluid specimen storage report is generated according to the sampling time and the sampling time of each body fluid specimen.

2. The method for intelligent storage of body fluid specimens according to claim 1, characterized in that: The method of obtaining the sampling time and sample type of multiple body fluid samples in the target intelligent storage cabinet includes: In response to a storage cabinet door opening request from a patient, collecting a facial image and a specimen box label of the patient; Determine in the database the specimen type of the body fluid specimen corresponding to the specimen box label; comparing the facial image with patient images in a preset patient database; When the matching degree between the facial image and the patient image exceeds a matching degree threshold, the storage unit door corresponding to the specimen type in the target smart storage cabinet is opened, and the opening time of the storage unit door is used as the sampling time of the patient's body fluid specimen.

3. The intelligent storage method for body fluid specimens according to claim 1, characterized in that: Determining the storage time corresponding to each of the body fluid specimens based on each of the sampling times includes: The time difference between each sampling time and the current time is used as the initial storage time corresponding to each body fluid specimen; Obtaining the storage temperature and storage humidity of the target smart storage cabinet; Determine the time correction coefficient corresponding to the storage temperature and the storage humidity in a preset time correction coefficient mapping table; Each of the initial storage times is multiplied by the time correction coefficient to obtain the storage time corresponding to each of the body fluid samples.

4. The intelligent storage method for body fluid specimens according to claim 1, characterized in that: Determining the storage location corresponding to each of the body fluid specimens according to the specimen type of each of the body fluid specimens includes: For each of the body fluid specimens, obtaining a plurality of candidate departments corresponding to the specimen type of the body fluid specimen and the current number of specimens submitted for inspection by each of the candidate departments; Among the candidate departments, the location of the candidate department with the least number of specimens submitted for inspection is used as the storage location corresponding to the body fluid specimen.

5. The intelligent storage method for body fluid specimens according to claim 1, characterized in that: The step of combining the storage locations corresponding to the body fluid specimens and the location of the target intelligent storage cabinet to generate a specimen storage path includes: Taking the location of the target intelligent storage cabinet as a starting point, determining a plurality of connected paths passing through the storage locations corresponding to all body fluid specimens; Acquire monitoring video information corresponding to each of the connected paths, and identify the density of human traffic and the moving speed of human traffic in each of the monitoring video information; Performing weighted summation on the crowd density and crowd moving speed to obtain a congestion degree value of each connecting path; The connected path with the smallest congestion value is used as the specimen storage path.

6. The body fluid specimen intelligent storage method according to claim 1, characterized in that: The controlling the target intelligent storage cabinet to perform the inspection operation based on the specimen storage path includes: Acquiring the specimen inclination angle and specimen acceleration of each body fluid specimen of the target intelligent storage cabinet during the inspection operation; For each of the body fluid specimens, when the specimen tilt angle is greater than an angle threshold, or the specimen acceleration is greater than an acceleration threshold, the moving speed of the target intelligent storage cabinet is reduced.

7. The body fluid specimen intelligent storage method according to claim 1, characterized in that: The step of generating a body fluid specimen storage report according to the sampling time and the sampling time of each body fluid specimen comprises: The difference between the sampling time and the sampling time of each of the body fluid specimens is used as the actual storage time of each of the body fluid specimens; Obtaining the standard storage time corresponding to the specimen type of each of the body fluid specimens; Calculating the deviation between the actual storage time of each of the body fluid specimens and the corresponding standard storage time, and determining the timeliness evaluation result of each of the body fluid specimens based on each of the deviation values ​​and a preset timeliness evaluation standard; The specimen type, sampling time, sampling time and timeliness evaluation result of each body fluid specimen are filled into the initial report template to obtain a body fluid specimen storage report.

8. An intelligent storage system for body fluid specimens, characterized in that: The system comprises: A data acquisition module, used to acquire the sampling time and specimen type of multiple body fluid specimens in the target intelligent storage cabinet; A storage time determination module, used to determine the storage time corresponding to each of the body fluid specimens based on each of the sampling times; The inspection operation module is used to determine the storage location corresponding to each of the body fluid specimens according to the specimen type of each of the body fluid specimens when there is a body fluid specimen whose storage time reaches the time threshold; generate a specimen storage path in combination with the storage location corresponding to each of the body fluid specimens and the location of the target smart storage cabinet, and control the target smart storage cabinet to perform the inspection operation based on the specimen storage path; The storage report generating module is used to receive the sampling time of each body fluid specimen after the inspection operation is completed, and generate a body fluid specimen storage report according to the sampling time and the sampling time of each body fluid specimen.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the intelligent storage method for body fluid specimens as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the body fluid specimen intelligent storage method according to any one of claims 1 to 7 is executed.

Images