Accurate temperature control method and device applied to sample storage tank

By setting up a matrix storage pipeline and temperature sensor in the sample storage tank, combined with the fan nozzle assembly, the precise temperature control of the sample storage tank is achieved, solving the problem of inefficient heat conduction in the passive heat dissipation system and ensuring the temperature stability of biological samples.

CN120335531AActive Publication Date: 2025-07-18FUDAN (SHANGHAI) TECH CO LTD
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Patent Information

Application Number
CN202510803342.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-17
Publication Date
2025-07-18
Estimated Expiration
2045-06-17

AI Technical Summary

Technical Problem

In the prior art, the passive heat dissipation system of the sample storage tank has low heat conduction efficiency and cannot accurately control local temperature abnormal areas, resulting in impairment of the temperature sensitivity of biological samples.

Method used

A matrix-arranged storage pipeline and temperature sensor are set up in the sample storage tank, combined with the sector nozzle assembly, through temperature change prediction and control of the sector nozzle to spray cooling gas, achieving accurate temperature control.

Benefits of technology

It improves heat conduction efficiency, can timely accurately control local abnormal areas, avoid sample damage and ensure temperature stability.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The embodiment of the invention discloses a precise temperature control method and device applied to a sample storage tank. A specific embodiment of the method comprises the following steps: acquiring current tank body storage information of a sample storage tank; distributing a sample storage tank storage pipeline for the to-be-stored sample corresponding to the sample identifier to obtain a target storage pipeline identifier group; receiving a pipeline temperature value measured by a temperature sensor in the sample storage tank for each storage pipeline to obtain a pipeline temperature value sequence; performing temperature change prediction on a local area of the tank body where the storage pipeline corresponding to the target storage pipeline identification group is located to generate a temperature change distribution matrix; generating sample storage temperature control strategy information according to the temperature change distribution matrix; and controlling the corresponding fan-shaped nozzles to spray cooling gas to the sample storage tank so as to control the temperature of the area where the storage pipeline corresponding to the target storage pipeline identification group is located. According to the embodiment, the purpose of accurately controlling the temperature of each area in the sample storage tank can be achieved.
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Description

Technical Field

[0001] Embodiments of the present disclosure relate to the fields of computer technology and temperature control, and particularly to a precise temperature control method and device applied to a sample storage tank. Background Art

[0002] Biological samples often need to be stored in sample tubes that are independently sealed (sample storage tanks). Existing technical solutions adopt a passive heat dissipation mode, and perform passive heat dissipation through the heat conduction of the tank body, that is, rely on the heat conduction performance of the metal material of the tank body to exchange heat with the external environment, and no active temperature regulation device is configured. Due to the temperature sensitivity of biological samples, when there is a local temperature anomaly (higher than the preset threshold) inside the storage tank, the passive heat dissipation system has the defect of low heat conduction efficiency, and at the same time, it is impossible to perform precise temperature control on the local abnormal area.

[0003] The above information disclosed in this background art section is only used to enhance the understanding of the background of the inventive concept, and thus, it may include information that does not form the prior art known to those of ordinary skill in the art. Summary of the Invention

[0004] This section of the present disclosure is used to briefly introduce concepts that will be described in detail in the subsequent Detailed Description section. This section of the present disclosure is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to be used to limit the scope of the claimed technical solution.

[0005] Some embodiments of the present disclosure propose a precise temperature control method and device applied to a sample storage tank to solve the technical problems mentioned in the above background art section.

[0006] In a first aspect, some embodiments of the present disclosure provide an accurate temperature control method for a sample storage tank, the method comprising: in response to receiving pre-stored sample information, obtaining current tank storage information of the sample storage tank, wherein the pre-stored sample information includes a sample identifier and a sample storage volume, and the current tank storage information includes a storage pipeline occupancy information sequence; based on the pre-stored sample information and the current tank storage information, allocating a sample storage tank storage pipeline for the to-be-stored sample corresponding to the sample identifier to obtain a target storage pipeline identifier group; receiving pipeline temperature values measured by temperature sensors in the sample storage tank for each storage pipeline to obtain a pipeline temperature value sequence; based on the pipeline temperature value sequence, predicting temperature changes in a local area of the tank where the storage pipelines corresponding to the target storage pipeline identifier group are located to generate a temperature change distribution matrix; according to the temperature change distribution matrix, generating sample storage temperature control strategy information, wherein the sample storage temperature control strategy information is information for adjusting the temperature of the storage pipeline, and the sample storage temperature control strategy information includes a sector nozzle identifier group and corresponding sector nozzle control information, and the sector nozzle identifier corresponds to a sector nozzle in a sector nozzle assembly in the sample storage tank; through the sample storage temperature control strategy information, controlling the corresponding sector nozzle to spray cooling gas into the sample storage tank for temperature control of the area where the storage pipelines corresponding to the target storage pipeline identifier group are located.

[0007] Second aspect, some embodiments of the present disclosure provide an accurate temperature control device applied to a sample storage tank. The device includes: an acquisition unit configured to, in response to receiving pre-stored sample information, acquire the current tank storage information of the sample storage tank, where the pre-stored sample information includes a sample identifier and a sample storage volume, and the current tank storage information includes a storage pipeline occupancy information sequence; an allocation unit configured to, based on the pre-stored sample information and the current tank storage information, allocate a sample storage tank storage pipeline for the sample to be stored corresponding to the sample identifier to obtain a target storage pipeline identifier group; a receiving unit configured to receive the pipeline temperature values measured by a temperature sensor in the sample storage tank for each storage pipeline to obtain a pipeline temperature value sequence; a prediction unit configured to, based on the pipeline temperature value sequence, predict the temperature change of the local area of the tank where the storage pipelines corresponding to the target storage pipeline identifier group are located to generate a temperature change distribution matrix; a generation unit configured to generate sample storage temperature control policy information according to the temperature change distribution matrix, where the sample storage temperature control policy information is information for adjusting the temperature of the storage pipeline, and the sample storage temperature control policy information includes a sector nozzle identifier group and corresponding sector nozzle control information, and the sector nozzle identifier corresponds to a sector nozzle in a sector nozzle assembly in the sample storage tank; a control unit configured to, through the sample storage temperature control policy information, control the corresponding sector nozzle to spray cooling gas into the sample storage tank for temperature control of the area where the storage pipelines corresponding to the target storage pipeline identifier group are located.

[0008] Third aspect, some embodiments of the present disclosure provide an electronic device, including: one or more processors; a storage device having stored thereon one or more programs, which when executed by the one or more processors cause the one or more processors to implement the method described in any implementation manner of the first aspect.

[0009] Fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having stored thereon a computer program, where the program, when executed by a processor, implements the method described in any implementation manner of the first aspect.

[0010] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: Through the precise temperature control method applied to the sample storage tank in some embodiments of the present disclosure, the heat conduction efficiency can be improved, and precise temperature control can be performed on abnormal areas in a timely manner. Specifically, the reasons for the defects of low heat conduction efficiency in the passive heat dissipation system and the inability to perform precise temperature control on local abnormal areas are as follows: relying on the heat conduction performance of the metal material of the tank body for heat exchange with the external environment, and no active temperature regulation device is configured. Due to the temperature sensitivity of biological samples, when there is a local temperature abnormality (higher than the preset threshold) inside the storage tank, the passive heat dissipation system has the defect of low heat conduction efficiency and cannot perform precise temperature control on local abnormal areas. Based on this, in some embodiments of the present disclosure, the precise temperature control method applied to the sample storage tank, by arranging a matrix-arranged storage pipeline and corresponding temperature sensors in the cylindrical tank body of the sample storage tank, can not only monitor the storage temperature in real time, but also form more structured spaces through matrix arrangement for precise temperature control. In addition, a sector nozzle assembly is arranged at the bottom of the cylindrical tank body for spraying positive pressure cold air. Specifically, first, in response to receiving the pre-stored sample information, the current tank body storage information of the sample storage tank is obtained, where the above-mentioned pre-stored sample information includes the sample identifier and the sample storage volume, and the above-mentioned current tank body storage information includes the storage pipeline occupancy information sequence. Then, based on the above-mentioned pre-stored sample information and the above-mentioned current tank body storage information, the sample storage tank storage pipeline is allocated to the to-be-stored sample corresponding to the above-mentioned sample identifier to obtain the target storage pipeline identifier group. Here, by positioning the target storage pipeline, the storage location corresponding to the to-be-stored sample can be determined. In this way, it is convenient to perform targeted temperature control processing. Then, the pipeline temperature values measured by the temperature sensors in the sample storage tank for each storage pipeline are received to obtain the pipeline temperature value sequence. After that, based on the above-mentioned pipeline temperature value sequence, the temperature change prediction is performed on the local area of the tank body where the storage pipeline corresponding to the above-mentioned target storage pipeline identifier group is located to generate the temperature change distribution matrix. Here, by generating the temperature change distribution matrix, the temperature change situation of the sample before and after storage can be predicted. Thus, it is convenient to perform temperature control processing at a fine granularity. Next, according to the above-mentioned temperature change distribution matrix, the sample storage temperature control strategy information is generated, where the above-mentioned sample storage temperature control strategy information is the information for adjusting the storage pipeline temperature, and the above-mentioned sample storage temperature control strategy information includes the sector nozzle identifier group and the corresponding sector nozzle control information, and the sector nozzle identifier corresponds to the sector nozzle in the sector nozzle assembly in the sample storage tank. Here, by generating the sample storage temperature control strategy information, it can be used to precisely control the spraying of cooling gas by the sector nozzle to achieve the purpose of precise temperature control of the specified area. That is, through the above-mentioned sample storage temperature control strategy information, the corresponding sector nozzle is controlled to spray cooling gas into the sample storage tank for temperature control of the area where the storage pipeline corresponding to the above-mentioned target storage pipeline identifier group is located.Thus, the problem that it is difficult to dissipate heat in a timely manner when an abnormal temperature appears in the sample storage tank, resulting in low heat conduction efficiency, is avoided. Furthermore, the purpose of precisely controlling the temperature of the local abnormal area and each area in the sample storage tank is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In combination with the accompanying drawings and with reference to the following specific embodiments, the above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and the elements and elements are not necessarily drawn to scale.

[0012] Figure 1 is a flowchart of some embodiments of a precise temperature control method applied to a sample storage tank according to the present disclosure; Figure 2 is a schematic diagram of a heat conducting plate; Figure 3 is a schematic diagram of a fan-shaped nozzle; Figure 4 is a schematic diagram of the distribution of fan-shaped nozzles; Figure 5 is a schematic diagram of a storage pipeline; Figure 6 is a schematic diagram of a sample storage tank; Figure 7 is a schematic diagram of abnormal temperature; Figure 8 is a schematic structural diagram of some embodiments of a precise temperature control device applied to a sample storage tank according to the present disclosure; Figure 9 is a schematic structural diagram of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0014] It should also be noted that, for the sake of convenience of description, only parts related to the relevant invention are shown in the drawings. Without conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

[0015] It should be noted that concepts such as "first" and "second" mentioned in this disclosure 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.

[0016] It should be noted that the modifications of "one" and "multiple" mentioned in this disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".

[0017] The names of the messages or information exchanged between multiple devices in the embodiments of this disclosure are only for illustrative purposes, and are not used to limit the scope of these messages or information. The following will detail this disclosure with reference to the accompanying drawings and in conjunction with embodiments.

[0018] Figure 1 Flow 100 of some embodiments of the precise temperature control method applied to a sample storage tank according to this disclosure is shown. Among them, storage pipes arranged in a matrix and corresponding temperature sensors are provided in the cylindrical tank body of the sample storage tank, and a sector nozzle assembly is provided at the bottom of the cylindrical tank body.

[0019] Here, a high-density storage pipe is arranged along the axis in the sample storage tank, and the storage pipes are arranged vertically along the axis direction of the cylindrical tank body. Considering that the heat in the area close to the axis is not easily dissipated by heat conduction, therefore, in this solution, by setting a transverse heat conduction plate and a vertical special storage pipe, the heat close to the axis can be quickly conducted to the outside.

[0020] As an example, as Figure 2 shown, multiple heat conduction plates (gray elliptical areas) are arranged at the same height in the sample storage tank. The material of the heat conduction plate can be a copper plate with high heat conduction performance. Two kinds of small holes with different apertures are provided on the heat conduction plate. The small holes with smaller apertures are storage pipes 202. The small holes with larger apertures are reserved air flow channels 201.

[0021] In addition, considering that it is difficult for fixed air jet holes to perform precise temperature control for specific areas. Therefore, a sector nozzle assembly is provided at the bottom of the cylindrical tank body. Here, the sector nozzle is arranged on the positive pressure air outlet at the bottom of the storage tank and is used to adjust the air jet direction. The sector nozzle assembly can include at least one sector nozzle.

[0022] As an example, refer to Figure 3 the schematic diagram of the sector nozzle shown. Figure 3 It shows that any sector nozzle can adjust the nozzle direction in the working state to facilitate precise temperature control for different areas.

[0023] The precise temperature control method applied to the sample storage tank includes the following steps: Step 101, in response to receiving the pre-stored sample information, obtain the current tank storage information of the sample storage tank.

[0024] In some embodiments, the execution subject (e.g., a computing device) of the precise temperature control method applied to the sample storage tank can, in response to receiving the pre-stored sample information, obtain the current tank storage information of the sample storage tank in a wired or wireless manner. Among them, the above pre-stored sample information may include a sample identifier and a sample storage quantity, and the above current tank storage information includes a storage pipeline occupancy information sequence. The sample identifier can be the unique identifier of the sample to be stored. The sample storage quantity can be the quantity (or number of copies) of the sample to be stored. Each storage pipeline occupancy information corresponds to a storage pipeline. This is to facilitate determining the occupancy situation of each storage pipeline in the sample storage tank.

[0025] It should be noted that the above computing device can be hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster composed of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is embodied as software, it can be installed in the above-listed hardware devices. It can be implemented as, for example, multiple software or software modules for providing distributed services, or as a single software or software module. No specific limitation is made here.

[0026] Step 102, based on the pre-stored sample information and the current tank storage information, allocate a sample storage tank storage pipeline for the sample to be stored corresponding to the sample identifier, and obtain a target storage pipeline identifier group.

[0027] In some embodiments, the above execution subject can, based on the above pre-stored sample information and the above current tank storage information, allocate a sample storage tank storage pipeline for the sample to be stored corresponding to the above sample identifier, and obtain a target storage pipeline identifier group.

[0028] In some optional implementation manners of some embodiments, the above execution subject, based on the above pre-stored sample information and the above current tank storage information, allocates a sample storage tank storage pipeline for the sample to be stored corresponding to the above sample identifier, and obtaining a target storage pipeline identifier group may include the following steps: The first step, according to the sample storage quantity in the above pre-stored sample information, divide the sample to be stored corresponding to the above sample identifier into storage pipelines, and obtain the storage pipeline occupancy quantity. Among them, the sample storage quantity can be divided into multiple copies according to the sample quantity that each storage pipeline can store. The number of divided copies is determined as the storage pipeline occupancy quantity.

[0029] In the second step, using the storage pipeline occupancy information sequence included in the above current tank storage information, mark the occupied storage pipelines in the initial storage pipeline plane array diagram to obtain the current plane array diagram. Among them, the above storage pipeline plane array diagram is a plane diagram established corresponding to the arrangement positions of each storage pipeline in the cylindrical tank body. The storage pipeline plane array diagram includes a storage pipeline identification sequence and a corresponding storage pipeline occupancy identification sequence, and the storage pipeline occupancy identification is used to represent whether the corresponding storage pipeline is occupied.

[0030] In the third step, mark the jet coverage areas corresponding to each sector nozzle in the above current plane array diagram to obtain the marked plane array diagram. Here, each sector nozzle has a corresponding circular jet coverage area due to the jet angle limitation. Thus, in the current plane array diagram, taking the position of the sector nozzle as the center and the maximum deflection direction of the nozzle as the radius, mark the jet coverage areas corresponding to each sector nozzle to obtain the marked plane array diagram.

[0031] In practice, considering that the jet coverage areas corresponding to each sector nozzle are circular, if multiple circular areas are far apart, it is easy to have areas that are difficult to cover by the jet coverage areas. Therefore, the positions of the sector nozzles are preset according to the coverage radius of the sector nozzles, so that the areas between the jet coverage areas of each sector nozzle cover each other, greatly reducing the areas that are difficult to cover. Thus, it is convenient to perform precise temperature control on the specified area.

[0032] As an example, as Figure 4 shown in the schematic diagram of the sector nozzle distribution. Figure 4 The black dots in the cross-section 403 of the storage tank in the figure represent the center points (i.e., the positive pressure air outlet 401) of the sector nozzles. The circular dotted lines are the jet coverage areas (the jet coverage range 402) centered on the sector nozzles. From Figure 4 it can be seen that the jet coverage areas in the middle position of the tank body overlap each other, as much as possible eliminating the uncovered areas, especially making the central area fully covered. In addition, although there are still some blank areas in the edge area, since the blank positions are at the tank body boundary and the jet coverage areas of the sector nozzles at the edge extend beyond the tank body area, after the sector nozzles spray cooling gas, it can flow back through the inner wall of the tank body and thus diffuse to the blank areas. Thus, the purpose of fully covering each storage pipeline 202 is achieved. Figure 4 The right sub-figure shows a schematic diagram of the structure within a jet coverage area (the air flow pipeline is not shown). The blank dots in the sub-figure represent the storage pipelines 202.

[0033] Step 4: Allocate storage pipes to the areas of the unoccupied storage pipes in the marked planar array diagram above to select storage pipe areas that meet the above-mentioned storage pipe occupancy quantity, and determine the identification of each storage pipe within the above-mentioned storage pipe areas as the target storage pipe identification group. Among them, according to a preset arrangement method (for example, a centralized arrangement method), determine the storage pipe arrangement diagram corresponding to the storage samples with the above-mentioned storage pipe occupancy quantity. For example, if the storage pipe occupancy quantity is five. Then, according to the preset arrangement method, five adjacent storage pipes can be occupied, and thus the position frames of the five storage pipes can be determined as the storage pipe arrangement diagram. Then, within the areas of the unoccupied storage pipes in the marked planar array diagram above, perform storage pipe allocation on the above-mentioned storage pipe arrangement diagram through a preset allocation algorithm to obtain storage pipe areas. Finally, determine the identification of each storage pipe within the above-mentioned storage pipe areas as the target storage pipe identification group.

[0034] As an example, the above-mentioned allocation algorithm may include, but is not limited to, at least one of the following: Collision Detection, Simulated Annealing, Largest Empty Circle, etc. In addition, if the storage pipes originally occupy a large number and cannot be allocated to the corresponding storage pipe areas according to the preset arrangement method, then the arrangement method can be adjusted and re-allocated. For example, adjusted to a linear arrangement method, an L-shaped arrangement method, etc.

[0035] In practice, considering that during the process of storing samples, if the samples to be stored are stored separately, then due to the thermal interaction during the storage process and the original temperature values of the samples to be stored, it is easy to affect the temperature of other nearby stored storage pipes. Thus, the influence on other storage pipes is increased, and it is easy to cause damage to their samples due to temperature changes. Thus, the storage samples to be allocated can be arranged and stored centrally according to a certain arrangement method. This can not only reduce the influence on other storage pipes, but also perform centralized temperature control on the storage pipe areas. Thus, the accuracy of temperature control is improved. In addition, because a sector nozzle and corresponding jet coverage areas at different positions are preset in advance. Therefore, the storage pipe areas of the samples to be stored can be placed within the same jet coverage area as much as possible. Thus, by only adjusting the ejection direction and speed of the cooling gas through the sector nozzle corresponding to the jet coverage area where it is located, the purpose of local precise temperature control can be achieved. Furthermore, there is no need to control all the sector nozzles simultaneously. Thus, the temperature control area is reduced and energy consumption is reduced.

[0036] Step 103: Receive the pipe temperature values measured by the temperature sensors in the sample storage tank for each storage pipe to obtain a sequence of pipe temperature values.

[0037] In some embodiments, the above-mentioned execution entity may receive the pipeline temperature values measured by the temperature sensors in the sample storage tank for each storage pipeline, and obtain a pipeline temperature value sequence. Among them, the temperature sensor may be a patch-type temperature sensor, which is pasted on the outer wall of each storage pipeline. Each pipeline temperature value corresponds to a storage pipeline.

[0038] Step 104: Based on the pipeline temperature value sequence, predict the temperature change of the local area of the tank where the storage pipelines corresponding to the target storage pipeline identification group are located, so as to generate a temperature change distribution matrix.

[0039] In some embodiments, the above-mentioned execution entity may predict the temperature change of the local area of the tank where the storage pipelines corresponding to the target storage pipeline identification group are located based on the above pipeline temperature value sequence, so as to generate a temperature change distribution matrix.

[0040] In some optional implementation manners of some embodiments, the above-mentioned execution entity predicts the temperature change of the local area of the tank where the storage pipelines corresponding to the target storage pipeline identification group are located based on the above pipeline temperature value sequence, so as to generate a temperature change distribution matrix, which may include the following steps: First step, according to the above target storage pipeline identification group, determine the heat exchange duration of the to-be-stored sample corresponding to the above sample identification. Among them, the above heat exchange duration represents the opening duration of the sample storage tank during the storage process of the to-be-stored sample. Secondly, the single-copy storage duration corresponding to the above sample identification may be obtained from a preset storage table. The single-copy storage duration may be the duration required to store a single to-be-stored sample. The storage table may include the single-copy storage durations set for each different sample. Thus, the product of the number of occupied storage pipelines and the above single-copy storage duration may be determined as the heat exchange duration.

[0041] In practice, considering that the sample storage process is likely to cause heat exchange at the interface between the internal space and the external space of the sample storage tank. Therefore, by determining the storage duration of all to-be-stored samples during the entire storage process, it can be used to represent the duration of the heat exchange process.

[0042] Second step, using the to-be-stored temperature value of the to-be-stored sample and the above heat exchange duration, determine the heat change amount of the storage pipelines corresponding to the above target storage pipeline identification group, and obtain a heat change amount sequence. Among them, the external environmental temperature value of the sample storage tank may be obtained. Then, the external environmental temperature value, the to-be-stored temperature value and the above heat exchange duration may be input into a preset temperature prediction model to determine the heat change amount of the storage pipelines corresponding to the above target storage pipeline identification group, and obtain a heat change amount sequence.

[0043] As an example, the temperature prediction model can be the Heat Conduction Equation. In practice, since there is a difference between the temperature of the sample to be stored and the temperature of the storage pipeline, it can be used to predict the heat change amount corresponding to each storage pipeline in the storage pipeline area after the sample is stored in the storage pipeline. Each heat change amount corresponds to a storage pipeline and represents the changed temperature value.

[0044] In the third step, mark the heat conduction area corresponding to the above-mentioned target storage pipeline identification group in the above-mentioned marked rear plane array diagram, and determine the heat conduction area corresponding to the target storage pipeline identification group and the storage pipeline area as the local area of the tank body. Among them, considering that the temperature of the storage pipeline storing the sample to be stored will change, and at the same time, the temperature of other surrounding storage pipelines will also change. Therefore, first, the associated storage pipelines after the sample to be stored is stored in the storage pipeline can be determined, that is, other storage pipelines that will be affected by the temperature. Then, the area where each associated storage pipeline and the storage pipeline corresponding to the sample to be stored are located can be determined as the heat conduction area. Here, the temperature difference between the heat change amount corresponding to the storage pipeline identified by the target storage pipeline identification and the adjacent other storage pipelines can be determined. If the temperature difference is greater than the first preset temperature difference threshold, the adjacent other storage pipelines are determined as the associated storage pipelines.

[0045] In addition, the adjacent other storage pipelines can be used as the first layer of pipelines outside the storage pipeline area. For the adjacent second layer of pipelines, it can be judged whether they are associated storage pipelines through the second preset temperature difference threshold. Here, since the distance between the second layer of pipelines and the storage pipeline area is greater than the distance between the first layer of pipelines and the storage pipeline area, the second preset temperature difference threshold is set to be less than the first preset temperature difference threshold.

[0046] Step 4: According to the above pipeline temperature value sequence and the above heat change amount sequence, predict the temperature change of each storage pipeline in the local area of the tank body to generate a temperature change distribution matrix. Among them, the above temperature change distribution matrix is used to characterize the temperature change of each storage pipeline in the local area of the tank body. Secondly, the time point of the temperature change to be predicted can be selected in advance. For example, the time point of the temperature change can be the time point after the heat exchange duration. In practice, the temperature change duration, the above pipeline temperature value sequence, and the above heat change amount sequence can be input into the above temperature prediction model to predict the temperature change of each storage pipeline in the local area of the tank body to generate a temperature change distribution matrix. Here, the temperature change distribution matrix can be a rectangular matrix. The outer frame of the rectangular matrix can be the minimum circumscribed rectangle of the local area of the tank body. The temperature change distribution matrix can characterize the temperature values corresponding to each storage pipeline within the minimum circumscribed rectangle. The two-dimensional coordinate position of each matrix value in the temperature change distribution matrix corresponds to the pipeline position of the storage pipeline arranged in the tank body.

[0047] In practice, first, considering the temperature change problem before and after sample storage, and the problem that the thermal conductivity between the sample to be stored and the storage pipeline is different from the thermal conductivity between the storage pipelines, the temperature change of the local area of the tank body is predicted through two temperature change predictions. Thus, predicting the temperature of each storage pipeline in the heat conduction area through the temperature prediction model can be used to proactively mobilize the sector nozzles for local temperature control to avoid the problem of sample damage caused by excessive temperature difference before and after sample storage.

[0048] Step 105: Generate sample storage temperature control strategy information according to the temperature change distribution matrix.

[0049] In some embodiments, the above execution subject can generate sample storage temperature control strategy information according to the above temperature change distribution matrix. Among them, the above sample storage temperature control strategy information is information for adjusting the temperature of the storage pipeline. The above sample storage temperature control strategy information can include a sector nozzle identification group and corresponding sector nozzle control information. The sector nozzle identification corresponds to the sector nozzle in the sector nozzle assembly in the sample storage tank.

[0050] In some optional implementation manners of some embodiments, the above execution subject generating sample storage temperature control strategy information according to the above temperature change distribution matrix may include the following steps: First step: In response to the local area of the tank body being within a jet coverage area in the above marked rear plane array diagram, determine the corresponding first sector nozzle identification. Among them, the local area of the tank body being within a jet coverage area in the above marked rear plane array diagram can characterize that the local area of the tank body corresponds to only one jet coverage area of the sector nozzle.

[0051] Step 2: Based on the above temperature change distribution matrix, conduct an air jet strategy analysis on the sector nozzles corresponding to the above first sector nozzle identifier to generate the first sample storage temperature control strategy information, and determine the above first sample storage temperature control strategy information as the sample storage temperature control strategy information. Among them, the above first sample storage temperature control strategy information includes a first tour path and a first wind force value sequence. Secondly, the first sample storage temperature control strategy information can be generated through the following steps: First, the highest temperature value can be selected from the temperature change distribution matrix, and the two-dimensional coordinates of the corresponding storage pipeline can be determined as the highest temperature coordinates. Then, the storage pipelines with a temperature difference from the highest temperature being the first preset temperature difference can be selected as the temperature difference boundary pipelines. Then, the connection lines of each temperature difference boundary pipeline can be determined as the first tour path of the sector nozzle. After that, the width value from the first tour path to the boundary of the above tank area can be determined to obtain a width value sequence. Then, the wind force value of the sector nozzle at each position on the first tour path can be calculated through the width value to obtain a first wind force value sequence. Here, the first wind force value = basic wind force value × (width value / basic width value). Here, if the output first wind force value is less than the basic wind force value, the basic wind force value is determined as the first wind force value. Finally, the above first tour path and the first wind force value sequence can be determined as the first sample storage temperature control strategy information.

[0052] Optionally, the above execution subject generating the sample storage temperature control strategy information based on the above temperature change distribution matrix may further include the following steps: Step 1: In response to the above local area of the tank being outside one of the jet coverage areas in the above marked rear plane array diagram, determine the corresponding second sector nozzle identifier group. Among them, the local area of the tank being outside one of the jet coverage areas in the above marked rear plane array diagram can indicate that the local area of the tank intersects with multiple jet coverage areas.

[0053] Step 2: Based on the above temperature change distribution matrix, conduct an analysis of the jetting strategies for the sector nozzles corresponding to each second sector nozzle identifier in the above second sector nozzle identifier group, so as to generate second sample storage temperature control strategy information, and determine the above second sample storage temperature control strategy information as the sample storage temperature control strategy information. The above second sample storage temperature control strategy information includes a second tour path sequence and a second wind force value sequence set. Secondly, the second sample storage temperature control strategy information can be generated in the following manner: First, the first tour path and the first wind force value sequence can be determined through the generation process of the above first sample storage temperature control strategy information. Then, the first tour path can be segmented according to the nozzle coverage area corresponding to the second sector nozzle identifier to obtain a second tour path sequence. At the same time, the first wind force value sequence is divided according to the segmentation positions of the second tour path sequence to obtain a second wind force value sequence set. Finally, the second tour path sequence and the second wind force value sequence set can be determined as the second sample storage temperature control strategy information. The second tour path corresponds to the second sector nozzle identifier.

[0054] Step 106: Control the corresponding sector nozzle to spray cooling gas towards the sample storage tank through the sample storage temperature control strategy information, so as to control the temperature of the area where the storage pipeline corresponding to the target storage pipeline identifier group is located.

[0055] In some embodiments, the above execution entity can control the corresponding sector nozzle to spray cooling gas towards the sample storage tank through the above sample storage temperature control strategy information, so as to control the temperature of the area where the storage pipeline corresponding to the above target storage pipeline identifier group is located.

[0056] In some optional implementation manners of some embodiments, the above execution entity controls the corresponding sector nozzle to spray cooling gas towards the sample storage tank through the above sample storage temperature control strategy information, so as to control the temperature of the area where the storage pipeline corresponding to the above target storage pipeline identifier group is located, which may include the following steps: First step: Control the corresponding sector nozzle to rotate in direction and start spraying cooling gas according to the above sample storage temperature control strategy information, or control the sector nozzles corresponding to the above second sector nozzle identifier group to rotate in direction and start spraying cooling gas according to the above second sample storage temperature control strategy information.

[0057] As an example, the first sector nozzle identifier can be used to activate the corresponding sector nozzle, adjust the jetting direction of the sector nozzle according to the first tour path in the first sample storage temperature control strategy information, and adjust the corresponding jetting speed according to the corresponding first wind force value sequence, so as to accurately control the temperature of a local area of the tank body.

[0058] As another example, the second fan-shaped nozzle identification group can be used to start the corresponding multiple fan-shaped nozzles, and the jet direction of the fan-shaped nozzles can be synchronously adjusted according to the second patrol path sequence in the second sample storage temperature control strategy information, and the corresponding jet speed can be adjusted according to the corresponding second wind force value sequence, so as to accurately control the temperature of the local area of the tank. Here, when multiple fan-shaped nozzles are adjusted at the same time, they can be controlled synchronously. The travel speed of the fan-shaped nozzle (that is, the speed of changing the jet direction) can be fixed or variable. In addition, before starting, the coordinates of the first patrol path and the second patrol path can also be converted into the jet direction of the fan-shaped nozzle. For example, determine the storage pipe identification corresponding to a certain position on the path, and then determine the direction of the bottom of the storage pipe corresponding to the identification relative to the fan-shaped nozzle as the jet direction.

[0059] The second step is to control the temperature sensor to measure the real-time temperature of the storage pipe in the local area of the tank body to obtain a real-time temperature value sequence of the storage pipe.

[0060] The third step is to adjust the control strategy information of the fan-shaped nozzle corresponding to the first fan-shaped nozzle identifier or the fan-shaped nozzle corresponding to the second fan-shaped nozzle identifier group according to the real-time temperature value sequence of the storage pipeline, and adjust the rotation direction of the corresponding fan-shaped nozzle according to the adjusted control strategy information, so as to control the temperature of the area where the storage pipeline corresponding to the target storage pipeline identifier group is located. If the difference between the real-time temperature value of the storage pipeline at the location of the first circuit path or the second circuit path and the highest temperature value is less than the target temperature difference threshold, the first circuit path or the second circuit path can be adjusted again through the generation step of the storage temperature control strategy information. And adjust the rotation direction of the corresponding fan-shaped nozzle according to the adjusted first circuit path or the second circuit path. So as to accurately control the temperature of the area where the storage pipeline corresponding to the target storage pipeline identifier group is located.

[0061] In practice, as the dry cooling gas is sprayed out by the fan-shaped nozzle, the storage pipes in the local area of the tank will gradually cool down. When the temperature drops to a certain level, the spray direction of the fan-shaped nozzle can be adjusted to further bias it toward the central area with relatively higher temperature, so as to continue to perform precise temperature control.

[0062] In addition, considering that the gas ejected from the positive pressure outlet (i.e., fan-shaped nozzle) is unidirectional, its circulation effect is not good. Therefore, in the jet coverage area of a single fan-shaped nozzle, several storage pipes are evenly selected along the axis, and a raised spiral guide pattern is added to the outside of the selected storage pipe. Through this pattern, the airflow from the positive pressure outlet can be swirled into motion to form a cyclone effect, thereby improving the temperature control efficiency.

[0063] As an example, refer to Figure 5Schematic diagram of the storage pipeline shown. On the left side of the figure is the jet coverage area of a sector nozzle. The small black dots marked in this area are the uniformly selected storage pipelines, on which spiral patterns 501 are provided to form a special storage pipeline 502 with spiral patterns. The spiral patterns can be as shown in Figure 5 the figure on the right side. No spiral patterns 501 are provided on the ordinary storage pipeline 202.

[0064] In practice, refer to Figure 6 the sample storage tank shown. Among them, dry low-temperature cold air at a constant temperature is blown out through the positive-pressure air outlet arranged by area at the bottom of the tank. A negative-pressure suction port is set in the center of the tank cover (the top of the tank body) so that the low-temperature cold air forms a one-way convection inside the tank body. The dotted lines in the figure can be the schematic indication lines of the gas flow inside the tank.

[0065] Optionally, the above-mentioned execution entity can also execute the following steps: First step, perform temperature detection on the above-mentioned pipeline temperature value sequence, and in response to detecting an abnormal pipeline temperature value in the above-mentioned pipeline temperature value sequence, generate sample abnormal temperature control strategy information. Among them, temperature detection can be detecting an abnormal pipeline temperature value in the pipeline temperature value sequence. Here, temperature abnormality can be that the difference between the pipeline temperature value and the average temperature value is greater than a preset difference. Secondly, the sample abnormal temperature control strategy information can be generated through the above-mentioned generation method of the sample storage temperature control strategy information.

[0066] As an example, such as Figure 7 the schematic diagram of abnormal temperature in the sample storage tank shown. The red area in the figure is the temperature abnormal area.

[0067] Second step, use the above-mentioned sample abnormal temperature control strategy information to control the corresponding sector nozzle to spray cooling gas into the sample storage tank for temperature control of the area where the target storage pipeline is located.

[0068] In practice, by integrating the above-mentioned horizontal (heat conduction plate) and vertical heat conduction technologies, a three-dimensional heat dissipation network is realized inside the storage tank, and the abnormal heat inside the storage tank can be quickly exported by matching the gas circulation convection technology to maintain a constant temperature environment inside the tank.

[0069] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: Through the precise temperature control method applied to the sample storage tank in some embodiments of the present disclosure, the heat conduction efficiency can be improved, and precise temperature control can be performed on abnormal areas in a timely manner. Specifically, the reasons for the defects of low heat conduction efficiency in the passive heat dissipation system and the inability to perform precise temperature control on local abnormal areas are as follows: relying on the heat conduction performance of the metal material of the tank body for heat exchange with the external environment, and no active temperature regulation device is configured. Due to the temperature sensitivity of biological samples, when there is a local temperature abnormality (higher than the preset threshold) inside the storage tank, the passive heat dissipation system has the defect of low heat conduction efficiency and cannot perform precise temperature control on local abnormal areas. Based on this, in the precise temperature control method applied to the sample storage tank in some embodiments of the present disclosure, by arranging a matrix-arranged storage pipeline and a corresponding temperature sensor in the cylindrical tank body of the sample storage tank, not only can the storage temperature be monitored in real time, but also more structured spaces can be formed through matrix arrangement for precise temperature control. In addition, a sector nozzle assembly is arranged at the bottom of the cylindrical tank body for spraying positive pressure cold air. Specifically, first, in response to receiving the pre-stored sample information, the current tank body storage information of the sample storage tank is obtained, where the above-mentioned pre-stored sample information includes the sample identifier and the sample storage volume, and the above-mentioned current tank body storage information includes the storage pipeline occupancy information sequence. Then, based on the above-mentioned pre-stored sample information and the above-mentioned current tank body storage information, the sample storage tank storage pipeline is allocated to the to-be-stored sample corresponding to the above-mentioned sample identifier, and the target storage pipeline identifier group is obtained. Here, by positioning the target storage pipeline, the storage position corresponding to the to-be-stored sample can be determined. In this way, it is convenient to perform targeted temperature control processing. Then, the pipeline temperature values measured by the temperature sensors in the sample storage tank for each storage pipeline are received to obtain the pipeline temperature value sequence. After that, based on the above-mentioned pipeline temperature value sequence, the temperature change prediction is performed on the local area of the tank body where the storage pipelines corresponding to the above-mentioned target storage pipeline identifier group are located to generate the temperature change distribution matrix. Here, by generating the temperature change distribution matrix, the temperature change situation of the sample before and after storage can be predicted. Thus, it is convenient to perform temperature control processing with fine granularity. Next, according to the above-mentioned temperature change distribution matrix, the sample storage temperature control strategy information is generated, where the above-mentioned sample storage temperature control strategy information is the information used to adjust the storage pipeline temperature, and the above-mentioned sample storage temperature control strategy information includes the sector nozzle identifier group and the corresponding sector nozzle control information, and the sector nozzle identifier corresponds to the sector nozzle in the sector nozzle assembly in the sample storage tank. Here, by generating the sample storage temperature control strategy information, it can be used to precisely control the spraying of cooling gas by the sector nozzle to achieve the purpose of precise temperature control of the specified area. That is, through the above-mentioned sample storage temperature control strategy information, the corresponding sector nozzle is controlled to spray cooling gas into the sample storage tank for temperature control of the area where the storage pipelines corresponding to the above-mentioned target storage pipeline identifier group are located.Thus, the problem of difficult heat dissipation in case of abnormal temperature in the sample storage tank in a timely manner, resulting in low heat conduction efficiency, is avoided. Furthermore, the purpose of precisely controlling the temperature of the local abnormal area and each area in the sample storage tank is achieved. Further referring to Figure 8 , as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of precise temperature control applied to a sample storage tank. These device embodiments correspond to Figure 1 the method embodiments shown, and the precise temperature control device applied to the sample storage tank can be specifically applied to various electronic devices.

[0070] As Figure 8 shown, the precise temperature control device 800 applied to a sample storage tank in some embodiments includes: an acquisition unit 801, a distribution unit 802, a reception unit 803, a prediction unit 804, a generation unit 805, and a control unit 806. Among them, the acquisition unit 801 is configured to, in response to receiving pre-stored sample information, acquire the current tank storage information of the sample storage tank, where the above pre-stored sample information includes a sample identifier and a sample storage amount, and the above current tank storage information includes a storage pipeline occupancy information sequence; the distribution unit 802 is configured to, based on the above pre-stored sample information and the above current tank storage information, allocate a sample storage tank storage pipeline for the to-be-stored sample corresponding to the above sample identifier to obtain a target storage pipeline identifier group; the reception unit 803 is configured to receive the pipeline temperature values measured by temperature sensors in the sample storage tank for each storage pipeline to obtain a pipeline temperature value sequence; the prediction unit 804 is configured to, based on the above pipeline temperature value sequence, predict the temperature change of the local area of the tank where the storage pipeline corresponding to the above target storage pipeline identifier group is located to generate a temperature change distribution matrix; the generation unit 805 is configured to generate sample storage temperature control strategy information according to the above temperature change distribution matrix, where the above sample storage temperature control strategy information is information for adjusting the temperature of the storage pipeline, and the above sample storage temperature control strategy information includes a fan nozzle identifier group and corresponding fan nozzle control information, and the fan nozzle identifier corresponds to the fan nozzle in the fan nozzle assembly in the sample storage tank; the control unit 806 is configured to, through the above sample storage temperature control strategy information, control the corresponding fan nozzle to spray cooling gas into the sample storage tank for temperature control of the area where the storage pipeline corresponding to the above target storage pipeline identifier group is located.

[0071] It can be understood that the units described in the precise temperature control device 800 applied to the sample storage tank correspond to the respective steps in the method described with reference to Figure 1 . Thus, the operations, features, and beneficial effects described above for the method also apply to the precise temperature control device 800 applied to the sample storage tank and the units included therein, and will not be elaborated herein. Reference is made below to Figure 9 , which shows a schematic structural diagram of an electronic device (such as a computing device) suitable for implementing some embodiments of the present disclosure. Figure 9 The electronic device shown is merely an example and should not impose any limitations on the functions and scope of use of the embodiments of the present disclosure. As Figure 9 shown, the computer device includes a processor, a memory, and a network interface connected via a system bus. Among them, the memory may include a non-volatile storage medium and an internal memory. The non-volatile storage medium can store an operating system and computer programs. The computer programs include program instructions, and when the program instructions are executed, the processor can execute any of the above methods. The processor is used to provide computing and control capabilities to support the operation of the entire computer device. The internal memory provides an environment for the operation of the computer programs in the non-volatile storage medium, and when the computer programs are executed by the processor, the processor can execute any of the above methods. The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art can understand that Figure 9 the structure shown in

[0072] is only a block diagram of some structures related to the solution of the present disclosure and does not constitute a limitation on the computer device to which the solution of the present disclosure is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0073] Among them, in one embodiment, the above-mentioned processor is used to run a computer program stored in the memory to implement the following steps: in response to receiving pre-stored sample information, obtain the current tank storage information of the sample storage tank, where the above-mentioned pre-stored sample information includes a sample identifier and a sample storage quantity, and the above-mentioned current tank storage information includes a storage pipeline occupancy information sequence; based on the above-mentioned pre-stored sample information and the above-mentioned current tank storage information, allocate a sample storage tank storage pipeline for the to-be-stored sample corresponding to the above-mentioned sample identifier to obtain a target storage pipeline identifier group; receive the pipeline temperature values measured by the temperature sensors in the sample storage tank for each storage pipeline to obtain a pipeline temperature value sequence; based on the above-mentioned pipeline temperature value sequence, predict the temperature change of the local area of the tank where the storage pipeline corresponding to the above-mentioned target storage pipeline identifier group is located to generate a temperature change distribution matrix; according to the above-mentioned temperature change distribution matrix, generate sample storage temperature control strategy information, where the above-mentioned sample storage temperature control strategy information is information used to adjust the temperature of the storage pipeline, and the above-mentioned sample storage temperature control strategy information includes a fan-shaped nozzle identifier group and corresponding fan-shaped nozzle control information, and the fan-shaped nozzle identifier corresponds to the fan-shaped nozzle in the fan-shaped nozzle assembly in the sample storage tank; through the above-mentioned sample storage temperature control strategy information, control the corresponding fan-shaped nozzle to spray cooling gas into the sample storage tank to control the temperature of the area where the storage pipeline corresponding to the above-mentioned target storage pipeline identifier group is located.

[0074] The embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored, and the computer program includes program instructions, and the method implemented when the program instructions are executed may refer to the various embodiments in the above-mentioned method of the present disclosure.

[0075] Among them, the above-mentioned computer-readable storage medium may be an internal storage unit of the above-mentioned computer device in the foregoing embodiment, such as the hard disk or memory of the above-mentioned computer device. The above-mentioned computer-readable storage medium may also be an external storage device of the above-mentioned computer device, such as a plug-in hard disk equipped on the above-mentioned computer device, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, etc.

[0076] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of another identical element in the process, method, article or system including the element.

[0077] The above description is only some preferred embodiments of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A precise temperature control method applied to a sample storage tank, wherein, Inside the cylindrical tank of the sample storage tank, there are storage pipes arranged in a matrix and corresponding temperature sensors. At the bottom inside the cylindrical tank, there is a sector nozzle assembly, characterized by including: In response to receiving pre-stored sample information, obtain the current tank storage information of the sample storage tank, where the pre-stored sample information includes a sample identifier and a sample storage quantity, and the current tank storage information includes a storage pipe occupancy information sequence; Based on the pre-stored sample information and the current tank storage information, allocate a sample storage tank storage pipe for the sample to be stored corresponding to the sample identifier to obtain a target storage pipe identifier group; Receive the pipe temperature values measured by the temperature sensors in the sample storage tank for each storage pipe to obtain a pipe temperature value sequence; Based on the pipe temperature value sequence, predict the temperature change of the local area of the tank where the storage pipes corresponding to the target storage pipe identifier group are located to generate a temperature change distribution matrix; According to the temperature change distribution matrix, generate sample storage temperature control strategy information, where the sample storage temperature control strategy information is information for adjusting the temperature of the storage pipes, and the sample storage temperature control strategy information includes a sector nozzle identifier group and corresponding sector nozzle control information, and the sector nozzle identifier corresponds to the sector nozzles in the sector nozzle assembly in the sample storage tank; Through the sample storage temperature control strategy information, control the corresponding sector nozzles to spray cooling gas into the sample storage tank for temperature control of the area where the storage pipes corresponding to the target storage pipe identifier group are located; Perform temperature detection on the pipe temperature value sequence, and in response to detecting an abnormal pipe temperature value in the pipe temperature value sequence, generate sample abnormal temperature control strategy information; Use the sample abnormal temperature control strategy information to control the corresponding sector nozzles to spray cooling gas into the sample storage tank for temperature control of the area where the target storage pipe is located.

2. The method according to claim 1, characterized in that The step of allocating a sample storage tank storage pipe for the sample to be stored corresponding to the sample identifier based on the pre-stored sample information and the current tank storage information to obtain a target storage pipe identifier group includes: According to the sample storage quantity in the pre-stored sample information, divide the storage pipes for the sample to be stored corresponding to the sample identifier to obtain the number of occupied storage pipes; Use the storage pipe occupancy information sequence included in the current tank storage information to mark the occupied storage pipes in the initial storage pipe plane array diagram to obtain the current plane array diagram, where the storage pipe plane array diagram is established corresponding to the arrangement positions of the respective storage pipes inside the cylindrical tank, and the storage pipe plane array diagram includes a storage pipe identifier sequence and a corresponding storage pipe occupancy identifier sequence, and the storage pipe occupancy identifier is used to indicate whether the corresponding storage pipe is occupied; Mark the gas jet coverage areas corresponding to the respective sector nozzles in the current plane array diagram to obtain the marked plane array diagram; Perform storage pipeline allocation for the area of the unoccupied storage pipelines in the marked rear plane array diagram to select a storage pipeline area that meets the number of occupied storage pipelines, and determine the identifiers of each storage pipeline within the storage pipeline area as the target storage pipeline identifier group.

3. The method according to claim 2, characterized in that, Based on the pipeline temperature value sequence, perform temperature change prediction on the local area of the tank body where the storage pipelines corresponding to the target storage pipeline identifier group are located to generate a temperature change distribution matrix, including: According to the target storage pipeline identifier group, determine the heat exchange duration of the sample to be stored corresponding to the sample identifier, where the heat exchange duration represents the opening duration of the sample storage tank during the storage process of the sample to be stored; Using the temperature value to be stored of the sample to be stored and the heat exchange duration, determine the heat change amount of the storage pipelines corresponding to the target storage pipeline identifier group to obtain a heat change amount sequence; Mark the heat conduction area corresponding to the target storage pipeline identifier group in the marked rear plane array diagram, and determine the heat conduction area and the storage pipeline area corresponding to the target storage pipeline identifier group as the local area of the tank body; According to the pipeline temperature value sequence and the heat change amount sequence, perform temperature change prediction on each storage pipeline within the local area of the tank body to generate a temperature change distribution matrix, where the temperature change distribution matrix is used to represent the temperature changes of each storage pipeline within the local area of the tank body.

4. The method according to claim 3, wherein Generating sample storage temperature control strategy information according to the temperature change distribution matrix includes: In response to the local area of the tank body being within a jet coverage area in the marked rear plane array diagram, determine the corresponding first sector nozzle identifier; According to the temperature change distribution matrix, perform jetting strategy analysis on the sector nozzle corresponding to the first sector nozzle identifier to generate first sample storage temperature control strategy information, and determine the first sample storage temperature control strategy information as the sample storage temperature control strategy information, where the first sample storage temperature control strategy information includes a first tour path and a first wind force value sequence.

5. The method according to claim 4, wherein Generating sample storage temperature control strategy information according to the temperature change distribution matrix further includes: In response to the local area of the tank body being outside a jet coverage area in the marked rear plane array diagram, determine the corresponding second sector nozzle identifier group; According to the temperature change distribution matrix, perform jetting strategy analysis on the sector nozzles corresponding to each second sector nozzle identifier in the second sector nozzle identifier group to generate second sample storage temperature control strategy information, and determine the second sample storage temperature control strategy information as the sample storage temperature control strategy information, where the second sample storage temperature control strategy information includes a second tour path sequence and a second wind force value sequence set.

6. The method according to any one of claims 4 or 5, characterized in that Controlling the corresponding sector nozzle to spray cooling gas towards the sample storage tank through the sample storage temperature control strategy information for temperature control of the area where the storage pipelines corresponding to the target storage pipeline identifier group are located, including: Control the corresponding sector nozzle to rotate in direction and start spraying cooling gas according to the sample storage temperature control strategy information; Control a temperature sensor to perform real-time temperature measurement on a storage pipeline in a local area of the tank body to obtain a sequence of real-time temperature values of the storage pipeline; According to the sequence of real-time temperature values of the storage pipeline, adjust the control strategy information corresponding to the sector nozzle identified by the first sector nozzle or the second sector nozzle identification group, and according to the adjusted control strategy information, adjust the rotation direction of the corresponding sector nozzle for temperature control of the area where the storage pipeline corresponding to the target storage pipeline identification group is located.

7. A precise temperature control device applied to a sample storage tank, comprising: An acquisition unit configured to, in response to receiving pre-stored sample information, acquire current tank body storage information of the sample storage tank, where the pre-stored sample information includes a sample identifier and a sample storage volume, and the current tank body storage information includes a sequence of storage pipeline occupancy information; An allocation unit configured to, based on the pre-stored sample information and the current tank body storage information, allocate a sample storage tank storage pipeline for a to-be-stored sample corresponding to the sample identifier to obtain a target storage pipeline identification group; A receiving unit configured to receive pipeline temperature values measured by a temperature sensor in the sample storage tank for each storage pipeline to obtain a sequence of pipeline temperature values; A prediction unit configured to, based on the sequence of pipeline temperature values, predict temperature changes in a local area of the tank body where the storage pipeline corresponding to the target storage pipeline identification group is located to generate a temperature change distribution matrix; A generation unit configured to generate sample storage temperature control strategy information according to the temperature change distribution matrix, where the sample storage temperature control strategy information is information for adjusting the temperature of the storage pipeline, and the sample storage temperature control strategy information includes a sector nozzle identification group and corresponding sector nozzle control information, and the sector nozzle identification corresponds to a sector nozzle in a sector nozzle assembly in the sample storage tank; A control unit configured to, through the sample storage temperature control strategy information, control the corresponding sector nozzle to spray cooling gas into the sample storage tank for temperature control of the area where the storage pipeline corresponding to the target storage pipeline identification group is located; Perform temperature detection on the sequence of pipeline temperature values, and in response to detecting an abnormal pipeline temperature value in the sequence of pipeline temperature values, generate sample abnormal temperature control strategy information; Use the sample abnormal temperature control strategy information to control the corresponding sector nozzle to spray cooling gas into the sample storage tank for temperature control of the area where the target storage pipeline is located.

8. An electronic device, comprising: One or more processors; A storage device having stored thereon one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1-6.

9. A computer-readable medium having a computer program stored thereon, wherein, The program, when executed by the processor, implements the method according to any one of claims 1-6.

Citation Information

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