Distributed transportation and storage control method for biological sample materials

Abstract

The present application relates to the field of distributed transportation and storage control, and specifically to a distributed transportation and storage control method applied to biological sample materials. A specific implementation of the method includes: for each storage device included in the storage device cluster, the following processing steps are performed: in response to determining that the communication connection debugging of each storage device is completed, the biological sample material information of each biological sample material currently to be transported is obtained, wherein the biological sample material information includes: biological sample number, biological sample type, storage time, storage location, storage temperature range; according to the biological sample material information set, the storage device cluster, the transfer device cluster and the storage terminal cluster are controlled to perform distributed transportation and storage operations on each biological sample material. This implementation method does not require human intervention during the entire transfer process, and the entire transfer process is completed in the pneumatic transport pipeline, and there is no risk of biological samples leaking to the outside.

Description

Technical Field

[0001] The present application relates to the field of distributed transport and storage control, and in particular to a distributed transport and storage control method applied to biological sample materials. Background Art

[0002] The traditional way of storing biological samples is usually that one storage device corresponds to multiple use terminals, or one storage corresponds to one use terminal. This storage method has the problems of waste of resources and inconvenience in transferring sample tubes. The traditional way of taking biological samples is usually that the operator takes the sample tubes containing biological samples from the storage center and places them on a tray, and then transfers the sample tubes that need to be taken from the tray to a portable low-temperature storage box for transportation.

[0003] However, the above storage and retrieval methods have the following problems: the storage device can only be set to a fixed storage temperature and store biological samples suitable for the storage temperature; manual retrieval and transportation by operators will increase the health risks of the operators and the risk of contamination of the biological samples. Summary of the invention

[0004] The content of this application is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this application is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0005] Some embodiments of the present application propose a distributed transportation and storage control method for biological sample materials to solve the technical problems mentioned in the above background technology section.

[0006] In a first aspect, some embodiments of the present application provide a distributed transportation and storage control method for biological sample materials, which is applied to a distributed transportation system for biological sample materials. The distributed transportation system for biological sample materials includes: a storage device cluster, a transfer device cluster and a storage terminal cluster. One storage device corresponds to one transfer device, and one transfer device corresponds to one storage terminal. Each transfer device is directly connected to a transportation pipeline, and each transfer device has multiple ports connected to the transportation pipeline, and each port supports two-way transportation. The method includes: for each storage device included in the above storage device cluster, performing the following processing steps: receiving communication connection debugging information input by a technician in the above storage device, synchronizing the above communication connection debugging information to the corresponding storage terminal, wherein a storage device is configured with a communication module, a cooling device, and a temperature control module. a temperature control device and an equipment temperature sensor; determining whether the corresponding storage terminal has opened a connection debugging port corresponding to the above-mentioned communication connection debugging information; in response to determining that the corresponding storage terminal has opened a connection debugging port corresponding to the above-mentioned communication connection debugging information, synchronizing the communication connection address information and the port information to the above-mentioned storage device to perform communication connection debugging on the above-mentioned storage device; in response to determining that the communication connection debugging of each storage device is completed, obtaining the biological sample material information of each biological sample material currently to be transported, and obtaining a biological sample material information set, wherein the biological sample material information includes: biological sample number, biological sample type, storage time, storage location, and storage temperature range; according to the above-mentioned biological sample material information set, controlling the above-mentioned storage device cluster, the transport device cluster, and the above-mentioned storage terminal cluster to perform distributed transportation and storage operations on each biological sample material.

[0007] The above-mentioned embodiments of the present application have the following beneficial effects: In the present application, each storage device is connected to the transfer device, and each transfer device is also connected through a pneumatic transport pipeline. When the biological sample is distributedly stored and transported, the system will automatically control the storage device and the transfer device to complete the biological sample transfer operation. No human intervention is required during the entire transfer process, and the transfer process is completed in the pneumatic transport pipeline, without the risk of biological samples leaking to the outside world. At the same time, the temperature of the biological sample in the pipeline can be detected in real time through the various cooling devices, temperature control devices and device temperature sensors, so that the storage temperature of the sample can be adaptively controlled. The distributed transportation and storage control method for biological sample materials of the present application is applied to the distributed transportation system of biological sample materials. The above-mentioned distributed transportation system of biological sample materials includes: a storage device cluster, a transfer device cluster and a storage terminal cluster, one storage device corresponds to a transfer device, one transfer device corresponds to a storage terminal, each transfer device is directly connected to the transportation pipeline, each transfer device has multiple ports connected to the transportation pipeline, and each port supports two-way transportation. First, for each storage device included in the above-mentioned storage device cluster, the following processing steps are performed: receiving the communication connection debugging information input by the technician in the above-mentioned storage device, synchronizing the above-mentioned communication connection debugging information to the corresponding storage terminal, wherein a storage device is configured with a communication module, a cooling device, a temperature control device and a device temperature sensor; determining whether the corresponding storage terminal opens the connection debugging port corresponding to the above-mentioned communication connection debugging information; in response to determining that the corresponding storage terminal has opened the connection debugging port corresponding to the above-mentioned communication connection debugging information, synchronizing the communication connection address information and port information to the above-mentioned storage device, so as to perform communication connection debugging on the above-mentioned storage device. Therefore, when debugging the communication connection, the technician only needs to input the communication connection debugging information in the storage device, and the user does not need to perform complex configuration, which simplifies the configuration operation of remote debugging. Furthermore, because the storage device does not need to be directly connected to the debugging port of the storage terminal, but is forwarded through the execution subject, the possibility of the debugging port being used by other illegal users is reduced, and the security of debugging is improved. Then, in response to determining that the debugging of the communication connection of each storage device is completed, the biological sample material information of each biological sample material currently to be transported is obtained to obtain a biological sample material information set. Among them, the biological sample material information includes: biological sample number, biological sample type, storage time, storage location, storage temperature range. Thereby, it is convenient to perform distributed storage and transportation of different biological samples. Finally, according to the above-mentioned biological sample material information set, the above-mentioned storage device cluster, the transfer device cluster and the above-mentioned storage terminal cluster are controlled to perform distributed transportation and storage operations on each biological sample material.Therefore, when biological samples are stored and transported in a distributed manner, the system will automatically control the storage equipment and the transfer device to complete the biological sample transfer operation. No human intervention is required during the entire transfer process, and the entire transfer process is completed in the pneumatic transport pipeline, without the risk of biological samples leaking to the outside world. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar figure labels represent the same or similar elements. It should be understood that the drawings are schematic and that the components and elements are not necessarily drawn to scale.

[0009] Figure 1 is a flow chart of some embodiments of the distributed transportation and storage control method applied to biological sample materials according to the present application;

[0010] Figure 2 It is a structural diagram of the connection method between the storage device cluster, the transfer device cluster and the storage terminal cluster suitable for implementing the present application;

[0011] Figure 3 It is a structural schematic diagram of a transfer device suitable for implementing the present application. DETAILED DESCRIPTION

[0012] Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present application. It should be understood that the drawings and embodiments of the present application are only for exemplary purposes and are not intended to limit the scope of protection of the present application.

[0013] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0014] It should be noted that the concepts such as "first" and "second" mentioned in this application are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0015] It should be noted that the modifications of "one" and "plurality" mentioned in the present application are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0016] The names of the messages or information exchanged between multiple devices in the embodiments of the present application are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0017] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0018] Figure 1 It is a flowchart of some embodiments of the distributed transportation and storage control method for biological sample materials according to the present application. It shows a process 100 of some embodiments of the distributed transportation and storage control method for biological sample materials according to the present application. The distributed transportation and storage control method for biological sample materials is applied to a distributed transportation system of biological sample materials. The above-mentioned distributed transportation system of biological sample materials includes: a storage device cluster, a transfer device cluster and a storage terminal cluster. One storage device corresponds to one transfer device, and one transfer device corresponds to one storage terminal. Each transfer device is directly connected to a transportation pipeline. Each transfer device has multiple ports connected to the transportation pipeline, and each port supports two-way transportation, including the following steps:

[0019] Step 101: for each storage device included in the storage device cluster, perform the following processing steps:

[0020] Step 1011, receiving the communication connection debugging information input by the technician in the above storage device, and synchronizing the above communication connection debugging information to the corresponding storage terminal.

[0021] In some embodiments, the execution subject (management control center) of the distributed transportation and storage control method applied to biological sample materials can receive the communication connection debugging information input by the technician in the above-mentioned storage device, and synchronize the above-mentioned communication connection debugging information to the corresponding storage terminal. Among them, a storage device is configured with a communication module, a cooling device, a temperature control device and a device temperature sensor. The communication module can refer to a wireless communication module. The cooling device can be a compressor, a low-temperature liquid nitrogen circulation device. The temperature control device can refer to a temperature controller. The communication connection debugging information can be the IP address of the storage device that needs to perform remote debugging of the communication connection address. One storage device corresponds to one storage terminal.

[0022] like Figure 2 In the example, the connection between the storage device cluster, the transport device cluster and the storage terminal cluster is described as follows:

[0023] 1. Storage devices are independent of each other, so each storage device can be set to a different storage temperature as needed.

[0024] 2. Storage terminals are placed in different areas as needed, and can be stored and retrieved according to single needs.

[0025] 3. Each transfer device is connected by a pneumatic transport pipeline. Each transfer device has multiple ports connected to the pneumatic transport pipeline, and each port supports two-way transportation.

[0026] 4. Storage equipment, transfer equipment, and access terminals are all equipped with gas generating devices, which can be controlled to generate negative pressure suction gas or positive pressure injection gas.

[0027] 5. The storage device and the access terminal are connected to the transfer device through pneumatic transport pipelines.

[0028] Storage device description: The storage device is a tank body, in which storage tubes are arranged along the axis, and the diameter of the storage tubes is slightly larger than the diameter of the biological sample material (sample tube), and the sample tubes are stacked in the storage tubes. For example, the biological sample material can be stored in the sample tube.

[0029] Storage terminal description: The storage and access terminal pneumatically attracts the sample tubes placed on the tray and transfers them to the transfer device through the pneumatic transport tube; similarly, it can also receive sample tubes transported from the transfer device and place them on the tray of the storage and access terminal.

[0030] Transfer device description: The device structure diagram is as follows: Figure 3 In the example shown, the transfer device is disc-shaped with transport holes evenly arranged along the edge, the transport holes are connected to the pneumatic transport pipeline, and a sample tube transfer mechanism is arranged in the center of the device. The transfer mechanism can rotate along the axis of the transfer device and is connected to the gas generating device at the bottom of the mechanism, so as to generate negative or positive pressure gas in a controlled manner.

[0031] Transport pipeline: The diameter of the transport pipeline is slightly larger than that of the sample tube. A pressurizing device is arranged along the transport pipeline. The transport pipeline at a specific position is transparent, and a temperature and speed measuring device is provided at the transparent position. The temperature and speed measuring device on the pneumatic transport pipeline can detect the air pressure and temperature information in the current pipeline in real time, and this information is summarized to the execution entity.

[0032] Application Description:

[0033] First, each sample tube is assigned a unique ID number. All relevant information such as the storage time, storage location, stored biological sample information (including but not limited to the source of the biological sample, storage temperature, usage plan, etc.) of the sample tube corresponds to the ID number. ID number reading devices are arranged on storage devices, transfer devices, and access terminals. When the sample tube enters and exits the corresponding equipment / device, the ID will be read and the time and other information will be recorded.

[0034] The storage device cluster is deployed in a sample tube storage warehouse. One storage device uses a set of cooling equipment, which can be a compressor or a low-temperature liquid nitrogen circulation device. A temperature control device is set on each storage device. The device controls the input ratio of the low-temperature gas and adjusts the temperature inside the storage device through the detection data of the temperature detection device in the storage device.

[0035] The sample tube access channel of the storage device is connected to the transfer device through a pneumatic transport pipeline. The pneumatic transport pipeline can be deployed along the wall or buried underground according to the characteristics of the spatial structure.

[0036] The access terminal is deployed in the laboratory and is equipped with an application control system. The operator uses the control system to store or extract the sample tube with the specified ID number. In simple terms, the sample tube ID number is entered when storing the sample tube, and the sample tube is placed in the sample tube tray of the access terminal. The system controls the sample tube access terminal to suck the placed sample tube through negative pressure, and transfers the sample tube to the transfer device through the pneumatic transport pipeline. The transfer device transfers the sample tube into the pneumatic transport pipeline of the corresponding storage terminal to realize the storage operation. The extraction process is that the operator enters the ID number of the sample tube to be extracted in the control system. After identification by the system, the corresponding storage terminal is controlled to take out the sample tube from the storage terminal and transfer it to the transfer device through the pneumatic transport pipeline. The transfer device sends the sample tube into the pneumatic transport pipeline of the corresponding access terminal to complete the sample tube extraction operation.

[0037] Step 1012, determining whether the corresponding storage terminal has opened a connection debugging port corresponding to the above communication connection debugging information.

[0038] In some embodiments, the execution subject may determine whether the corresponding storage terminal has opened the connection debugging port corresponding to the communication connection debugging information. For example, the port status of the debugging port corresponding to the communication connection debugging information may be obtained from the corresponding storage terminal. Then, after determining that the port status indicates that the port is opened, it is determined that the corresponding storage terminal has opened the debugging port corresponding to the communication connection debugging information.

[0039] Step 1013, in response to determining that the corresponding storage terminal has opened the connection debugging port corresponding to the communication connection debugging information, the communication connection address information and the port information are synchronized to the storage device to perform communication connection debugging on the storage device.

[0040] In some embodiments, the execution subject may synchronize the communication connection address information and port information to the storage device in response to determining that the corresponding storage terminal has opened the connection debugging port corresponding to the communication connection debugging information, so as to perform communication connection debugging on the storage device. For example, the communication connection debugging may be: sending a communication test signal between the storage terminal and the storage device to determine the feedback duration of the feedback signal; thereby, it can be determined whether the communication connection is normal; if not, the communication module is debugged for serial communication and TCP / IP communication.

[0041] Step 102 , in response to determining that the communication connection debugging of each storage device is completed, obtaining biological sample material information of each biological sample material to be transported, and obtaining a biological sample material information set.

[0042] In some embodiments, the above-mentioned execution subject can obtain the biological sample material information of each biological sample material to be transported in response to determining that the communication connection debugging of each storage device is completed, and obtain a biological sample material information set. Among them, the biological sample material information includes: biological sample number, biological sample type, storage time, storage location, and storage temperature range. The biological sample material can be stored in a biological sample tube. The biological sample type can represent the sample type. For example, the biological sample type can include: liquid biological sample type, solid biological sample type, dust-like biological sample type, etc. The biological sample type can also be classified by other types, such as hazard level. The storage location can represent the laboratory number where the storage terminal is located. The storage temperature range can represent the storage temperature range of the biological sample material. The storage time can represent the maximum storage time of the biological sample material. The biological sample number can refer to a label attached to a sample tube containing the biological sample material.

[0043] Step 103: According to the biological sample material information set, the storage device cluster, the transport device cluster and the storage terminal cluster are controlled to perform distributed transportation and storage operations on each biological sample material.

[0044] In some embodiments, the execution entity may control the storage device cluster, the transport device cluster, and the storage terminal cluster to perform distributed transportation and storage operations on each biological sample material according to the biological sample material information set.

[0045] For example, for each biological sample material information, the storage terminal corresponding to the biological sample material corresponding to the biological sample material information can be determined, thereby determining a transportation route to transport the biological sample material to the laboratory of the corresponding storage terminal.

[0046] In an actual application scenario, the execution subject can control the storage device cluster, the transport device cluster and the storage terminal cluster to perform distributed transportation and storage operations on each biological sample material through the following steps:

[0047] In the first step, the biological sample material information included in the biological sample material information set is clustered to obtain a biological sample material information group set. One biological sample material information group corresponds to one storage terminal, one storage terminal is set in one laboratory, and each storage terminal is provided with a biological sample number reading device. For example, biological sample material information with the same biological sample type, storage location, and storage temperature range can be clustered into one category to obtain a biological sample material information group.

[0048] In the second step, for each biological sample material information group in the biological sample material information group set, the storage terminal corresponding to the biological sample material information group is controlled to perform transportation and storage operations on each biological sample material corresponding to the biological sample material information group. For example, the storage terminal may be controlled to send a biological sample material transportation instruction to the corresponding storage device, and the storage device grabs the sample tube with the corresponding number for transportation.

[0049] For each biological sample material information in the biological sample material information group, the following transportation and storage steps are performed:

[0050] The first step is to obtain the current pipeline transportation state of the biological sample material and the current biological sample transportation information corresponding to the biological sample material information. The pipeline transportation state is: a first transportation state characterizing that the biological sample material is transported in the transport device, and a second transportation state characterizing that the biological sample material is transported in the transport pipeline.

[0051] The pipeline transport state may be a turnover state or a circulation state when the biological sample material is transported on the transport pipeline. The first transport state may be a state in which the biological sample material is in a turnover state at the transfer device A. The second transport state may be a state in which the biological sample material is circulating on the transport pipeline a. The current biological sample transport information may be information about the biological sample material under the current pipeline transport state. The current biological sample transport information may include: environmental temperature and humidity information, transport position information, and transport time. For example, the pipeline transport state may be the transport position of the biological sample material acquired at fixed time intervals through a third-party interface. In response to determining that the transport position collected at fixed time intervals has not changed, the first transport state is determined as the current pipeline transport state. In response to determining that the transport position collected at fixed time intervals has changed, the second transport state is determined as the current pipeline transport state. Wherein, the fixed time interval may be 10 seconds.

[0052] The second step is to determine the transportation time prediction model corresponding to the above pipeline transportation state. The above transportation time prediction model is: the time prediction model corresponding to the above first transportation state, and the time prediction model corresponding to the above second transportation state. The above transportation time prediction model can be a deep neural network that predicts the transportation time required for the current pipeline transportation state by inputting the current biological sample transportation information and the actual transportation time of the previous pipeline transportation state. The above transportation time prediction model can be ARIMA (Autoregressive Integrated Moving Average Model).

[0053] As an example, the execution subject may determine the transport duration prediction model corresponding to the current pipeline transport state through the association relationship table between the current pipeline transport state and the transport duration prediction model. The association relationship table between the current pipeline transport state and the transport duration prediction model may be a predefined association relationship between different transport duration prediction models corresponding to different current pipeline transport states.

[0054] The third step is to input the above-mentioned current biological sample transportation information and the actual transportation time of the previous pipeline transportation state into the above-mentioned transportation time prediction model to obtain the transportation prediction time of the biological sample material under the above-mentioned pipeline transportation state. Among them, the above-mentioned previous pipeline transportation state can be a transportation state located in the previous transportation state of the above-mentioned pipeline transportation state. The above-mentioned actual transportation time can be the real transportation time of the previous pipeline transportation state.

[0055] The third step may include the following sub-steps:

[0056] The first sub-step is, in response to determining that the actual transportation duration corresponding to the previous pipeline transportation state does not exist, determining that the actual transportation duration of the previous pipeline transportation state is null.

[0057] In the second sub-step, the current biological sample transportation information and the actual transportation time of the previous pipeline transportation state are input into the transportation time prediction model to obtain the predicted transportation time of the biological sample material under the pipeline transportation state.

[0058] In the fourth step, in response to determining that the predicted transportation time of the biological sample material is greater than the preset transportation time threshold, the pressurizing device corresponding to the current transportation pipeline of the biological sample material is controlled to perform pressurization. For example, the pressurizing device can be controlled to increase the air pressure in the transportation pipeline to increase the transportation speed of the biological sample material in the transportation pipeline.

[0059] Therefore, the above steps take into account the particularity of the current pipeline transportation state, and can improve the accuracy of the transportation time prediction under the current pipeline transportation state, thereby adjusting the air pressure in the pipeline and avoiding transportation congestion of the biological sample material in the pipeline.

[0060] The fifth step is to determine the transport pipeline route corresponding to the biological sample material according to the storage device corresponding to the biological sample material. The transport pipeline route includes: at least one transport device identifier and at least one transport pipeline identifier. One transport device identifier corresponds to one transport device, and one transport pipeline identifier corresponds to one transport pipeline. A biological sample number reading device is arranged on each transport device. A pressure sensor, a temperature sensor, and a temperature adjustment device are arranged on each transport pipeline. There is a sequence between at least one transport device identifier and a sequence between at least one transport pipeline identifier. For example, according to the storage device corresponding to the biological sample material and the current location of the biological sample material, the transport pipeline route can be found.

[0061] The sixth step is to control each air pressure sensor and temperature sensor corresponding to the at least one transport pipeline identifier to collect air pressure data and temperature data in real time. For example, each transport pipeline identifier corresponds to a transport pipeline. Each air pressure sensor and temperature sensor of each transport pipeline can be controlled to collect air pressure data and temperature data in real time.

[0062] In the seventh step, in response to determining that the collected air pressure data is lower than the preset air pressure data, the transport pipeline corresponding to the air pressure data is determined as the transport pipeline to be pressurized. The preset air pressure data may be an air pressure value interval.

[0063] The eighth step is to control the pressurizing device corresponding to the transport pipeline to be pressurized to perform pressurization processing. For example, the pressurizing device corresponding to the transport pipeline to be pressurized can be controlled to pressurize the air pressure of the transport pipeline to be pressurized to a preset air pressure data.

[0064] In a ninth step, in response to determining that the collected temperature data is not within the corresponding storage temperature interval, a transport pipeline corresponding to the temperature data is determined as a transport pipeline to be temperature-adjusted.

[0065] The tenth step is to control the temperature adjustment device corresponding to the transport pipeline to be temperature-adjusted to perform temperature adjustment processing. For example, the temperature adjustment device can be controlled to adjust the temperature of the transport pipeline to be temperature-adjusted to within the storage temperature range.

[0066] In step 11, in response to determining that the transportation of the biological sample material is completed, the biological sample number collected by the biological sample number reading device in the corresponding storage terminal is read as the comparison biological sample number. The biological sample number reading device can read the biological sample number on each passing biological sample material.

[0067] The twelfth step is to determine whether the comparison biological sample number is consistent with the biological sample number of the biological sample material. For example, it can be determined whether the comparison biological sample number is the same as the biological sample number of the biological sample material.

[0068] In a thirteenth step, in response to determining that the compared biological sample number is consistent with the biological sample number of the biological sample material, generating transportation completion information corresponding to the biological sample material.

[0069] The transportation time prediction model can be trained through the following steps:

[0070] The first step is to obtain a biological sample transportation information sample data set. The biological sample transportation information sample data includes: sample biological sample transportation information, and the actual transportation time of the sample corresponding to the sample biological sample transportation information. The above-mentioned sample biological sample transportation information may include: transportation information of biological sample materials, and the actual transportation time corresponding to the previous pipeline transportation state.

[0071] In the second step, a biological sample transportation information sample data is selected from the above biological sample transportation information sample data set as the target biological sample transportation information sample data.

[0072] The third step is to perform the following training steps based on the target biological sample transport information sample data:

[0073] 1. Input the target biological sample transportation information sample data included in the sample biological sample transportation information into the initial transportation time prediction model to obtain the initial biological sample predicted transportation time.

[0074] 2. Determine the time error between the predicted transportation time of the initial biological sample and the actual transportation time of the above sample.

[0075] 3. In response to determining that the duration error is less than or equal to a preset duration error, the initial transport duration prediction model is determined as a trained transport duration prediction model.

[0076] In the fourth step, in response to determining that the duration error is greater than the above-mentioned preset duration error, the model parameters of the initial transport duration prediction model are adjusted, and the adjusted initial transport duration prediction model is determined as the initial transport duration prediction model, and the target biological sample transportation information sample data is reselected from the unselected biological sample transportation information sample data to perform the above-mentioned training step again.

[0077] Furthermore, for each transport pipeline in the biological sample material distributed transport system, the following detection steps are performed:

[0078] The first step is to collect the temperature data sequence and the air pressure data sequence of the above-mentioned transport pipeline in real time within a preset period of time. The preset period of time may refer to a period within 5 minutes. The temperature data sequence and the air pressure data sequence of the above-mentioned transport pipeline in the preset period of time may be collected in real time by an air pressure sensor and a temperature sensor.

[0079] In the second step, the temperature data sequence is input into a pre-trained temperature curve prediction model to obtain a temperature prediction curve. The temperature curve prediction model may be a pre-trained time series model for temperature curve prediction. For example, the temperature curve prediction model may be an ARIMA (Autoregressive Integrated Moving Average Model).

[0080] In the third step, the above-mentioned air pressure data sequence is input into a pre-trained air pressure curve prediction model to obtain an air pressure prediction curve. The air pressure curve prediction model can be a pre-trained time series model that takes the air pressure data sequence as input and outputs the air pressure prediction curve. For example, the air pressure curve prediction model can be an ARIMA (Autoregressive Integrated Moving Average Model).

[0081] In the fourth step, in response to determining that the temperature prediction curve has abnormal temperature data, an alarm prompt information corresponding to the transportation pipeline is generated. The abnormal temperature data may refer to temperature data that is not within a preset temperature range.

[0082] Step 5: In response to determining that the air pressure prediction curve has abnormal air pressure data, generate pipeline leakage prompt information corresponding to the transport pipeline. The abnormal air pressure data may refer to air pressure data that is lower than a preset air pressure value.

[0083] It should be noted that the above-mentioned executive entity, as the core of the entire solution, is responsible for collecting, analyzing and responding to feedback data from temperature and speed measuring devices deployed on the transportation pipeline. These devices are precisely deployed on the transportation pipeline to monitor air pressure and temperature information in real time. Every data point, whether it is air pressure or temperature, is comprehensively analyzed in the control system to provide a decision basis for subsequent operations.

[0084] The executive entity conducted an in-depth analysis of the collected data and dynamically adjusted the working state of the booster according to the analysis results. The booster plays a key role in this system. Its main function is to add cold air of a specific temperature to the transport pipeline. This precise control of boosting and cooling ensures that the air pressure and temperature in the transport pipeline are always in the ideal state.

[0085] At the same time, the executive body also has self-checking and fault warning functions. Through in-depth analysis of the changing trends of air pressure and temperature data, it can accurately predict potential faults or problems and issue early warnings. This fault warning mechanism enhances the stability and reliability of the system, provides strong support for preventive maintenance, and effectively reduces downtime caused by faults.

[0086] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0087] The serial numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments. The above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A distributed transportation and storage control method for biological sample materials, applied to a biological sample material distributed transportation system, the biological sample material distributed transportation system comprising: A storage device cluster, a transfer device cluster and a storage terminal cluster, one storage device corresponds to one transfer device, one transfer device corresponds to one storage terminal, each transfer device is directly connected to a transport pipeline, each transfer device has multiple ports connected to the transport pipeline, and each port supports bidirectional transportation. The method includes: For each storage device included in the storage device cluster, the following processing steps are performed: Receive the communication connection debugging information input by the technician in the storage device, and synchronize the communication connection debugging information to the corresponding storage terminal, wherein a storage device is configured with a communication module, a cooling device, a temperature control device and a device temperature sensor, and the communication connection debugging information is the IP address of the storage device that needs to be remotely debugged for the communication connection address; each storage device is independent of each other, and the storage terminal is placed in different areas as needed. The storage device, the transfer device, and the access terminal are all equipped with a gas generating device, which can be controlled to generate negative pressure suction gas or positive pressure injection gas The transfer device is disc-shaped, with transport holes evenly arranged along the edge, the transport holes are connected to the pneumatic transport pipeline, a sample tube transfer mechanism is arranged at the center of the transfer device, the transfer mechanism can rotate along the axis of the transfer device, and is connected to the gas generating device at the bottom of the mechanism, and can generate negative pressure or positive pressure gas in a controlled manner; the diameter of the transport pipeline is slightly larger than the diameter of the sample tube, a booster device is arranged along the transport pipeline, and the transport pipeline at a specific position is transparent, and a temperature and speed measuring device is arranged at the transparent position; the temperature and speed measuring device on the pneumatic transport pipeline can detect the air pressure and temperature information in the current pipeline in real time; Determine whether the corresponding storage terminal opens a connection debugging port corresponding to the communication connection debugging information; In response to determining that the corresponding storage terminal has opened a connection debugging port corresponding to the communication connection debugging information, synchronizing the communication connection address information and the port information to the storage device to perform communication connection debugging on the storage device; In response to determining that the communication connection debugging of each storage device is completed, obtaining biological sample material information of each biological sample material to be transported, and obtaining a biological sample material information set, wherein the biological sample material information includes: biological sample number, biological sample type, storage time, storage location, and storage temperature range; According to the biological sample material information set, controlling the storage device cluster, the transport device cluster and the storage terminal cluster to perform distributed transportation and storage operations on each biological sample material; Wherein, according to the biological sample material information set, controlling the storage device cluster, the transport device cluster and the storage terminal cluster to perform distributed transportation and storage operations on each biological sample material includes: Clustering the individual biological sample material information included in the biological sample material information set to obtain a biological sample material information group set, wherein one biological sample material information group corresponds to one storage terminal, one storage terminal is set in one laboratory, and each storage terminal is provided with a biological sample number reading device; For each biological sample material information group in the biological sample material information group set, control a storage terminal corresponding to the biological sample material information group to perform transportation and storage operations on each biological sample material corresponding to the biological sample material information group; wherein the transportation and storage operations on each biological sample material corresponding to the biological sample material information group include: For each biological sample material information in the biological sample material information group, the following transportation and storage steps are performed: Acquire the current pipeline transport state of the biological sample material and the current biological sample transport information corresponding to the biological sample material information, wherein the pipeline transport state is: a first transport state characterizing that the biological sample material is transported in the transport device, and a second transport state characterizing that the biological sample material is transported in the transport pipeline; Determine a transport duration prediction model corresponding to the pipeline transport state, wherein the transport duration prediction model is: a duration prediction model corresponding to the first transport state, and a duration prediction model corresponding to the second transport state; Inputting the current biological sample transportation information and the actual transportation time of the previous pipeline transportation state into the transportation time prediction model to obtain the predicted transportation time of the biological sample material under the pipeline transportation state, wherein the previous pipeline transportation state is the transportation state located at the previous transportation state of the pipeline transportation state; In response to determining that the predicted transportation time of the biological sample material is greater than a preset transportation time threshold, a pressurizing device corresponding to a current transportation pipeline of the biological sample material is controlled to perform pressurization processing.

2. The distributed transportation and storage control method for biological sample materials according to claim 1 is characterized in that: The step of inputting the current biological sample transportation information and the actual transportation time of the previous pipeline transportation state into the transportation time prediction model to obtain the predicted transportation time of the biological sample material under the pipeline transportation state includes: In response to determining that the actual transportation duration corresponding to the previous pipeline transportation state does not exist, determining that the actual transportation duration of the previous pipeline transportation state is null; The current biological sample transportation information and the actual transportation time of the previous pipeline transportation state are input into the transportation time prediction model to obtain the predicted transportation time of the biological sample material under the pipeline transportation state.

3. The distributed transportation and storage control method for biological sample materials according to claim 1 is characterized in that: The transport and storage steps also include: Determine the transport pipeline route corresponding to the biological sample material according to the storage device corresponding to the biological sample material, wherein the transport pipeline route includes: at least one transport device identifier and at least one transport pipeline identifier, one transport device identifier corresponds to one transport device, one transport pipeline identifier corresponds to one transport pipeline, each transport device is provided with a biological sample number reading device, each transport pipeline is provided with an air pressure sensor, a temperature sensor, and a temperature adjustment device, there is a sequence between at least one transport device identifier, and there is a sequence between at least one transport pipeline identifier; Control each air pressure sensor and temperature sensor corresponding to the at least one transport pipeline identifier to collect air pressure data and temperature data in real time; In response to determining that the collected air pressure data is lower than the preset air pressure data, determining the transport pipeline corresponding to the air pressure data as the transport pipeline to be pressurized; Controlling the pressurizing device corresponding to the transport pipeline to be pressurized to perform pressurization processing; In response to determining that the collected temperature data is not within the corresponding storage temperature interval, determining the transport pipeline corresponding to the temperature data as the transport pipeline to be temperature-adjusted; The temperature adjustment device corresponding to the transport pipeline to be temperature-adjusted is controlled to perform temperature adjustment processing.

4. The distributed transportation and storage control method for biological sample materials according to claim 3 is characterized in that: The transport and storage steps also include: In response to determining that the transportation of the biological sample material is complete, reading the biological sample number collected by the biological sample number reading device in the corresponding storage terminal as a comparison biological sample number; Determining whether the comparison biological sample number is consistent with the biological sample number of the biological sample material; In response to determining that the compared biological sample number is consistent with the biological sample number of the biological sample material, shipping completion information corresponding to the biological sample material is generated.

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