Intelligent gamete and embryo storage management system for reproductive center

Abstract

The invention provides an intelligent gamete and embryo storage management system for a reproductive center, which comprises a heat preservation module, a liquid nitrogen storage module, a liquid nitrogen storage module, a liquid nitrogen storage module and a liquid nitrogen storage module which are connected with one another, the liquid nitrogen recycling module is used for recycling, separating and purifying gaseous nitrogen by utilizing a condenser and a closed-loop pipeline; the intelligent monitoring module is used for monitoring the liquid nitrogen tank in real time by using various sensors, processing and analyzing monitoring data, and calculating and judging whether the current state is a safe state or not; the analysis and prediction module is used for calculating the fault probability of the liquid nitrogen tank by utilizing a machine learning model; according to the high-density storage module, a multi-layer storage frame, a single-tube container and a multi-tube container are installed in the liquid nitrogen tank; and the centralized management module is used for constructing a sample file and remotely monitoring the real-time state and abnormity of the liquid nitrogen tank. Liquid nitrogen volatilization can be reduced to the maximum extent, the sample safety is guaranteed, the storage efficiency is improved, and the increasing requirements of test tube babies are met.

Description

Technical Field

[0001] The present invention relates to the field of assisted reproductive technology, and in particular to a gamete and embryo intelligent storage and management system for a reproductive center. Background Art

[0002] Assisted reproductive technology (ART), especially in vitro fertilization (IVF), has far-reaching significance in modern society, providing hope for couples facing fertility difficulties and helping them realize their fertility wishes. This involves the storage of gametes (eggs, sperm) and embryos. The current storage methods are basically based on cryopreservation in liquid nitrogen tanks. The temperature of liquid nitrogen can reach -196°C, which can effectively slow down cell metabolism and maintain cell activity and integrity. At the same time, liquid nitrogen tanks can achieve long-term storage for several years or even decades, which is suitable for future fertility needs.

[0003] However, the current storage of liquid nitrogen tanks has the following problems: 1) Liquid nitrogen volatilization problem: The liquid nitrogen in the liquid nitrogen tank will evaporate naturally, causing the liquid nitrogen level to drop. Liquid nitrogen needs to be replenished regularly, which increases maintenance costs and workload. If the liquid nitrogen level is not replenished in time, gametes or embryos may be exposed to an inappropriate temperature environment, affecting their storage quality; 2) Temperature monitoring is not accurate enough: The temperature monitoring system of traditional liquid nitrogen tanks is relatively simple and cannot monitor the temperature changes in the tank in real time. There is a problem of not being able to promptly alarm when the temperature is abnormal; 3) Limited storage space: The storage capacity of liquid nitrogen tanks is limited and cannot meet large-scale storage needs. Especially when the number of people receiving IVF treatment increases, the storage pressure is even greater. Summary of the invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide an intelligent storage management system for gametes and embryos for reproductive centers, which can minimize liquid nitrogen volatilization, ensure sample safety and improve storage efficiency to meet the growing demand for in vitro fertilization.

[0005] To achieve the above object, the present invention provides the following solution: a gamete and embryo intelligent storage management system for a reproductive center, comprising:

[0006] A thermal insulation module is used to provide a vacuum insulation layer and a thermal insulation coating on the side wall of the liquid nitrogen tank;

[0007] The liquid nitrogen recycling module is used to recycle the volatilized gaseous nitrogen using a condenser and a closed-loop pipeline, and to separate and purify the gaseous nitrogen during the recycling process;

[0008] An intelligent monitoring module is used to use a variety of sensors to monitor the temperature, liquid nitrogen height and internal pressure inside the liquid nitrogen tank in real time to obtain environmental data, and then use an embedded controller to process and analyze the environmental data to obtain the current state of the liquid nitrogen tank, and determine whether the current state is a safe state. If not, automatic alarm and remote notification are performed;

[0009] An analysis and prediction module, used to calculate the failure probability of the liquid nitrogen tank based on the current state and the historical state using a machine learning model;

[0010] High-density storage module, used to install adjustable multi-layer storage racks inside the liquid nitrogen tank for layered storage of samples, and to design single-tube containers for storing a single sample and multi-tube containers for storing multiple samples according to sample storage requirements;

[0011] Centralized management module, used to build sample archives, store sample-related information, and display the real-time status of liquid nitrogen tanks and provide abnormal reminders based on the remote monitoring interface of the Web or App;

[0012] Wherein, the heat preservation module, the liquid nitrogen circulation recovery module, the intelligent monitoring module, the analysis and prediction module, the high-density storage module and the centralized management module are interconnected.

[0013] Optionally, the thermal insulation module includes:

[0014] A vacuum insulation unit is used to set a vacuum interlayer between the outer wall and the inner tank of the liquid nitrogen tank, and add multiple layers of metal film or thermal insulation material in the vacuum interlayer; wherein the metal film is used to reflect thermal radiation, and the thermal insulation material is used to reduce heat conduction;

[0015] The heat insulation unit is used to spray a heat insulation coating on the outer wall surface of the liquid nitrogen tank, and spray a hydrophobic coating on the outer layer of the heat insulation coating; wherein the thickness of the hydrophobic coating is 0.1-0.3mm.

[0016] Optionally, the liquid nitrogen circulation recovery module includes:

[0017] A recycling unit is used to set a condenser near the liquid nitrogen tank, reserve a gas outlet at the top of the liquid nitrogen tank, the gas outlet is connected to a gas extraction pipeline, and reserve a liquid nitrogen reflux inlet at the bottom of the liquid nitrogen tank, the liquid nitrogen reflux inlet is connected to a reflux pipeline; wherein the gas extraction pipeline is connected to the inlet of the condenser, and the reflux pipeline is connected to the outlet of the condenser;

[0018] A pipeline monitoring unit, used to deploy a pressure sensor in the exhaust pipeline and a flow meter in the return pipeline to monitor the gas pressure and the liquid nitrogen return flow;

[0019] The gas purification unit is used to deploy a filtering device at the inlet of the exhaust pipeline and a purification device behind the filtering device to separate and purify gaseous nitrogen.

[0020] Optionally, the intelligent monitoring module includes:

[0021] A data monitoring unit is used to deploy temperature sensors inside the liquid nitrogen tank and in the vacuum interlayer, install a liquid level sensor on the top of the liquid nitrogen tank, and then use the temperature sensor, liquid level sensor and pressure sensor to monitor temperature data, liquid level data and pressure data in real time;

[0022] A data processing unit is used to collect the temperature data, the liquid level data and the pressure data using an embedded controller to obtain environmental data, calculate the current state of the liquid nitrogen tank according to the environmental data, and determine whether it exceeds a safety threshold, and if so, automatically alarm and remotely notify;

[0023] The alarm unit is used to automatically alarm on site through buzzers and indicator lights, and to remotely alarm through text messages or APP push.

[0024] Optionally, the calculation expression for the current state of the liquid nitrogen tank is:

[0025]

[0026] Among them, S status Score the comprehensive status of the liquid nitrogen tank, ω T ,ω L ,ω P are the weight coefficients of temperature, liquid level and pressure respectively, T avg is the average temperature of the liquid nitrogen tank, T threshold is the temperature safety threshold, L percent is the percentage of the current liquid level in the liquid nitrogen tank, L threshold is the liquid level safety threshold, P diff is the pressure difference between the inside and outside of the liquid nitrogen tank, P threshold is the pressure difference safety threshold.

[0027] Optionally, the analysis and prediction module includes:

[0028] The data analysis unit is used to visualize the real-time and historical status of the liquid nitrogen tank through the Web or mobile App, and then perform trend analysis based on the historical status data to obtain the temperature change trend and predicted liquid level height;

[0029] The fault prediction unit is used to train the machine learning model with historical status data to obtain a fault prediction model, and then input the temperature change trend, predicted liquid level height and pressure difference into the fault prediction model to obtain the failure probability of the liquid nitrogen tank.

[0030] Optionally, the expression of the temperature change trend is:

[0031]

[0032] The expression for predicting the liquid level height is:

[0033] L predicted =L current -R avg ·Δt

[0034] Among them, T trend is the temperature change trend, T i is the temperature value collected for the i-th time, t i is the timestamp of the i-th acquisition, n is the total number of acquisitions, L predicted is the predicted liquid level height, L current is the current liquid level, R avg is the liquid nitrogen consumption rate, and Δt is the predicted time interval.

[0035] Optionally, the high-density storage module includes:

[0036] The space optimization unit is used to design and install a multi-layer storage rack with adjustable layer height according to the size of the liquid nitrogen tank, and to design a single-tube container for storing a single sample and a multi-tube container for storing multiple samples according to the sample storage requirements; wherein the multi-layer storage rack is provided with slots adapted to the single-tube container and the multi-tube container;

[0037] The container identification unit is used to set an identification code including sample-related information on the single-tube container and the multi-tube container.

[0038] Optionally, the centralized management module includes:

[0039] A database unit, used to construct a sample archive including sample number, sample source, collection date, freezing date, storage location and other information based on a relational database or a distributed database;

[0040] The permission management unit is used to define user roles and assign different operation permissions to each user role.

[0041] The remote maintenance unit is used for the remote monitoring interface based on the Web or App to display the real-time status of the liquid nitrogen tank and provide abnormal reminders, and automatically generate energy consumption reports, sample entry and exit reports, and equipment safety reports.

[0042] Optionally, the sample number includes an identification code, the sample source includes a patient name and number, the storage location includes a liquid nitrogen tank number, a storage shelf number and a slot number, and the other information includes a storage period and a sample type;

[0043] The energy consumption report includes liquid nitrogen consumption and electricity usage, the sample entry and exit report includes sample storage and retrieval records, and the equipment safety report includes the number of abnormal alarms, fault types and fault probabilities.

[0044] The present invention discloses the following technical effects by providing a gamete and embryo intelligent storage management system for a reproductive center:

[0045] 1. High-efficiency thermal insulation: 1) By setting a vacuum insulation layer between the outer wall and the inner tank, heat conduction and thermal radiation are greatly reduced, and liquid nitrogen volatilization is reduced. At the same time, multiple layers of metal film (such as aluminum foil) or high-efficiency thermal insulation materials (such as aerogel) are added to the vacuum insulation layer to further enhance the thermal insulation effect; 2) By spraying a thermal insulation coating on the outer surface of the tank body, external thermal radiation can be reflected and surface condensation can be prevented to reduce efficiency.

[0046] 2. Liquid nitrogen recycling: by setting up a condenser and a closed-loop pipeline, the gaseous nitrogen can be re-liquefied and flowed back to the main tank, reducing the cost of use. During the circulation process, filtering and purification devices are installed on the pipeline to remove impurities in the liquid nitrogen gas and ensure the purity of the recovered liquid nitrogen.

[0047] 3. Intelligent monitoring: 1) By combining multiple sensors, it can monitor the temperature of each storage area in real time and accurately measure the height of liquid nitrogen to avoid exposure of samples due to low liquid level. At the same time, it can also monitor the internal air pressure of the tank and the pressure of the vacuum layer to detect abnormalities in time and ensure the safety of sample storage; 2) By using an embedded controller, it can collect and analyze temperature, liquid level, pressure and other data in real time, and calculate the current status of the liquid nitrogen tank, such as temperature distribution, liquid level, and pressure changes, so that operators can quickly evaluate the status of the equipment.

[0048] 4. High management efficiency: 1) By using machine learning models, it is possible to analyze temperature change trends, predict liquid level heights, and then predict potential failures, thereby improving system management efficiency and reliability. 2) By setting a unique identification code and unique file for each sample, it is possible to efficiently manage sample information, facilitate data reading and entry, and realize information management of the entire process from sample collection to storage and retrieval.

[0049] 5. Efficient use of storage space. 1) By setting up adjustable multi-layer storage racks, the space utilization rate is improved. At the same time, the combination of single-tube containers (storing single samples, suitable for important or special samples) and multi-tube containers (storing multiple samples, suitable for batch sample storage) can meet different capacity requirements and further reduce the waste of storage space.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0052] Figure 1 A schematic diagram of a system architecture provided by an embodiment of the present invention;

[0053] Figure 2 A schematic diagram of the equipment architecture for liquid nitrogen recycling provided in an embodiment of the present invention;

[0054] Figure 3 A schematic diagram of the intelligent management process provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0057] like Figure 1 As shown, the present invention provides an intelligent storage and management system for gametes and embryos for a reproductive center, including an interconnected insulation module, a liquid nitrogen circulation recovery module, an intelligent monitoring module, an analysis and prediction module, a high-density storage module and a centralized management module.

[0058] 1. Insulation module

[0059] Used to set a vacuum insulation layer and a thermal insulation coating on the side wall of the liquid nitrogen tank; the thermal insulation module includes:

[0060] 1.1 Vacuum insulation unit

[0061] It is used to set a vacuum interlayer between the outer wall and the inner liner of the liquid nitrogen tank, and add multiple layers of metal film (such as aluminum foil) or thermal insulation material (such as aerogel) into the vacuum interlayer; wherein the metal film is used to reflect thermal radiation, and the thermal insulation material is used to reduce heat conduction.

[0062] 1.2 Insulation unit

[0063] Used to spray a thermal insulation coating (such as a titanium dioxide coating, which has the ability to efficiently reflect thermal radiation) on the outer wall surface of the liquid nitrogen tank, and spray a hydrophobic coating on the outer layer of the thermal insulation coating to prevent condensation on the surface due to temperature difference; wherein the thickness of the hydrophobic coating is 0.1-0.3mm, which not only ensures the thermal insulation performance but also does not affect the weight of the tank body.

[0064] 2. Liquid nitrogen recycling module

[0065] like Figure 2 As shown, it is used to recycle the volatilized gaseous nitrogen by using a condenser and a closed-loop pipeline, and to separate and purify the gaseous nitrogen during the recycling process; the liquid nitrogen recycling module includes:

[0066] 2.1 Recycling unit

[0067] It is used to set a condenser near the liquid nitrogen tank, reserve a gas outlet at the top of the liquid nitrogen tank, the gas outlet is connected to an exhaust pipeline (low-temperature corrosion-resistant material, such as stainless steel or copper tube), and reserve a liquid nitrogen reflux inlet at the bottom of the liquid nitrogen tank, and the liquid nitrogen reflux inlet is connected to a reflux pipeline; wherein the exhaust pipeline is connected to the inlet of the condenser, and the reflux pipeline is connected to the outlet of the condenser.

[0068] 2.2 Pipeline monitoring unit

[0069] A pressure sensor is deployed in the exhaust pipeline, and a flow meter is deployed in the return pipeline to monitor the gas pressure and the liquid nitrogen return flow.

[0070] 2.3 Gas purification unit

[0071] A filter device (a low-temperature and durable porous ceramic or metal filter) is deployed at the inlet of the exhaust pipeline to initially filter the gaseous nitrogen. A purification device (adsorbent, such as molecular sieve or activated carbon) is deployed behind the filter device to further separate and purify the gaseous nitrogen.

[0072] 3. Intelligent monitoring module

[0073] like Figure 3As shown, it is used to use multiple sensors to monitor the temperature, liquid nitrogen height and internal pressure inside the liquid nitrogen tank in real time, obtain environmental data, and then use the embedded controller to process and analyze the environmental data to obtain the current state of the liquid nitrogen tank, and determine whether the current state is a safe state. If not, automatic alarm and remote notification are performed; the intelligent monitoring module includes:

[0074] 3.1 Data Monitoring Unit

[0075] Temperature sensor: such as PT100 platinum resistance or thermocouple. Multiple temperature sensors are evenly arranged inside the liquid nitrogen tank to cover each storage area. Temperature sensors are arranged in the vacuum interlayer outside the tank to monitor the interlayer temperature and determine whether the vacuum layer is leaking. The temperature sensor is connected to the analog input interface of the embedded controller through a shielded cable. The collected data of each sensor is transmitted through I 2 C or SPI bus to the master control system.

[0076] Liquid level sensor: such as float type liquid level sensor or capacitive liquid level sensor. Real-time measurement of liquid nitrogen height, accurate to millimeter level. The liquid level sensor is installed on the top of the liquid nitrogen tank and connected to the embedded controller through a wire. The data is transmitted to the main control system via analog or digital signals.

[0077] Pressure sensor: such as MEMS pressure sensor. Monitor the internal air pressure of the tank to determine the volatilization of liquid nitrogen. Monitor the vacuum interlayer pressure to determine whether the vacuum layer is leaking. The pressure sensor is connected to the inside of the tank and the vacuum interlayer through pipelines. Data is transmitted to the main control system through analog signals or digital signals.

[0078] Use temperature sensors, liquid level sensors and pressure sensors to monitor temperature data, liquid level data and pressure data in real time.

[0079] 3.2 Data Processing Unit

[0080] It is used to collect the temperature data, the liquid level data and the pressure data by using an embedded controller to obtain environmental data, calculate the current state of the liquid nitrogen tank (such as temperature distribution, liquid level height, pressure change) according to the environmental data, and determine whether it exceeds the safety threshold. If so, automatic alarm and remote notification are performed.

[0081] The calculation expression of the current state of the liquid nitrogen tank is:

[0082]

[0083] Among them, S status Score the comprehensive status of the liquid nitrogen tank, ω T ,ω L ,ω Pare the weight coefficients of temperature, liquid level and pressure respectively, T avg is the average temperature of the liquid nitrogen tank, T threshold is the temperature safety threshold, L percent is the percentage of the current liquid level in the liquid nitrogen tank, L threshold is the liquid level safety threshold, P diff is the pressure difference between the inside and outside of the liquid nitrogen tank, P threshold is the pressure difference safety threshold.

[0084] 3.3 Alarm unit

[0085] It is used for automatic on-site alarm through buzzer and indicator light, and remote alarm through SMS or APP push.

[0086] 4. Analysis and prediction module

[0087] like Figure 3 As shown, it is used to calculate the failure probability of the liquid nitrogen tank based on the current state and the historical state using a machine learning model; the analysis and prediction module includes:

[0088] 4.1 Data Analysis Unit

[0089] It is used to visualize the real-time and historical status of the liquid nitrogen tank through the Web or mobile App, and then perform trend analysis based on the historical status data to obtain the temperature change trend and predicted liquid level height.

[0090] The expression of the temperature change trend is:

[0091]

[0092] The expression for predicting the liquid level height is:

[0093] L predicted =L current -R avg ·Δt

[0094] Among them, T trend is the temperature change trend, T i is the temperature value collected for the i-th time, t i is the timestamp of the i-th acquisition, n is the total number of acquisitions, L predicted is the predicted liquid level height, L current is the current liquid level, R avg is the liquid nitrogen consumption rate, and Δt is the predicted time interval.

[0095] 4.2 Fault Prediction Unit

[0096] It is used to train a machine learning model using historical status data to obtain a fault prediction model, and then input the temperature change trend, predicted liquid level height and pressure difference into the fault prediction model to obtain the failure probability of the liquid nitrogen tank.

[0097] 5. High-density storage module

[0098] It is used to install an adjustable multi-layer storage rack inside the liquid nitrogen tank to store samples in layers, and to design single-tube containers for storing a single sample and multi-tube containers for storing multiple samples according to sample storage requirements; the high-density storage module includes:

[0099] 5.1 Space Optimization Unit

[0100] Used to design and install multi-layer storage racks with adjustable layer heights according to the size of the liquid nitrogen tank, and to design single-tube containers for storing single samples (suitable for important or special samples) and multi-tube containers for storing multiple samples (suitable for batch sample storage) according to sample storage requirements; wherein the multi-layer storage rack is provided with slots compatible with the single-tube containers and the multi-tube containers.

[0101] 5.2 Container identification unit

[0102] Used to set an identification code (such as a QR code or RFID, linked to a database unit) including sample-related information on the single-tube container and the multi-tube container.

[0103] 6. Centralized management module

[0104] Used to build sample archives, store sample-related information, and display the real-time status of liquid nitrogen tanks and provide abnormal reminders based on the remote monitoring interface of the Web or App; the centralized management module includes:

[0105] 6.1 Database Unit

[0106] Used to build sample files based on relational databases or distributed databases, including sample number (identification code), sample source (patient name and number), collection date, freezing date, storage location (liquid nitrogen tank number, storage shelf number and slot number) and other information (storage years, sample type such as eggs, sperm, embryos).

[0107] 6.2 Rights Management Unit

[0108] It is used to define user roles (such as doctors, technicians, and administrators) and assign different operation permissions to each user role. For example, doctors can only view sample information, technicians can perform sample access operations, and administrators can modify database content and authorize user permissions.

[0109] 6.3 Remote Maintenance Unit

[0110] It is used for the remote monitoring interface based on Web or App to display the real-time status of the liquid nitrogen tank and provide abnormal reminders, and automatically generate energy consumption reports (including liquid nitrogen consumption and electricity usage), sample entry and exit reports (including sample storage and retrieval records) and equipment safety reports (including the number of abnormal alarms, fault types and fault probabilities).

[0111] Therefore, the present invention provides a gamete and embryo intelligent storage management system for reproductive centers, which can minimize liquid nitrogen volatilization, ensure sample safety and improve storage efficiency, thereby meeting the growing demand for in vitro fertilization.

[0112] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0113] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A gamete and embryo intelligent storage management system for a reproductive center, characterized in that: include: A thermal insulation module is used to provide a vacuum insulation layer and a thermal insulation coating on the side wall of the liquid nitrogen tank; The liquid nitrogen recycling module is used to recycle the volatilized gaseous nitrogen using a condenser and a closed-loop pipeline, and to separate and purify the gaseous nitrogen during the recycling process; An intelligent monitoring module is used to use a variety of sensors to monitor the temperature, liquid nitrogen height and internal pressure inside the liquid nitrogen tank in real time to obtain environmental data, and then use an embedded controller to process and analyze the environmental data to obtain the current state of the liquid nitrogen tank, and determine whether the current state is a safe state. If not, automatic alarm and remote notification are performed; An analysis and prediction module, used to calculate the failure probability of the liquid nitrogen tank based on the current state and the historical state using a machine learning model; High-density storage module, used to install adjustable multi-layer storage racks inside the liquid nitrogen tank for layered storage of samples, and to design single-tube containers for storing a single sample and multi-tube containers for storing multiple samples according to sample storage requirements; Centralized management module, used to build sample archives, store sample-related information, and display the real-time status of liquid nitrogen tanks and provide abnormal reminders based on the remote monitoring interface of the Web or App; Wherein, the heat preservation module, the liquid nitrogen circulation recovery module, the intelligent monitoring module, the analysis and prediction module, the high-density storage module and the centralized management module are interconnected.

2. The intelligent storage and management system for gametes and embryos used in reproductive centers according to claim 1, characterized in that: The thermal insulation module comprises: A vacuum insulation unit is used to set a vacuum interlayer between the outer wall and the inner tank of the liquid nitrogen tank, and add multiple layers of metal film or thermal insulation material in the vacuum interlayer; wherein the metal film is used to reflect thermal radiation, and the thermal insulation material is used to reduce heat conduction; The heat insulation unit is used to spray a heat insulation coating on the outer wall surface of the liquid nitrogen tank, and spray a hydrophobic coating on the outer layer of the heat insulation coating; wherein the thickness of the hydrophobic coating is 0.1-0.3mm.

3. The intelligent storage and management system for gametes and embryos used in reproductive centers according to claim 2, characterized in that: The liquid nitrogen circulation recovery module comprises: A recycling unit is used to set a condenser near the liquid nitrogen tank, reserve a gas outlet at the top of the liquid nitrogen tank, the gas outlet is connected to a gas extraction pipeline, and reserve a liquid nitrogen reflux inlet at the bottom of the liquid nitrogen tank, the liquid nitrogen reflux inlet is connected to a reflux pipeline; wherein the gas extraction pipeline is connected to the inlet of the condenser, and the reflux pipeline is connected to the outlet of the condenser; A pipeline monitoring unit, used to deploy a pressure sensor in the exhaust pipeline and a flow meter in the return pipeline to monitor the gas pressure and the liquid nitrogen return flow; The gas purification unit is used to deploy a filtering device at the inlet of the exhaust pipeline and a purification device behind the filtering device to separate and purify gaseous nitrogen.

4. The intelligent storage and management system for gametes and embryos used in reproductive centers according to claim 3, characterized in that: The intelligent monitoring module comprises: A data monitoring unit is used to deploy temperature sensors inside the liquid nitrogen tank and in the vacuum interlayer, install a liquid level sensor on the top of the liquid nitrogen tank, and then use the temperature sensor, liquid level sensor and pressure sensor to monitor temperature data, liquid level data and pressure data in real time; A data processing unit is used to collect the temperature data, the liquid level data and the pressure data using an embedded controller to obtain environmental data, calculate the current state of the liquid nitrogen tank according to the environmental data, and determine whether it exceeds a safety threshold, and if so, automatically alarm and remotely notify; The alarm unit is used to automatically alarm on site through buzzers and indicator lights, and to remotely alarm through text messages or APP push.

5. The intelligent storage and management system for gametes and embryos used in reproductive centers according to claim 4, characterized in that: The calculation expression of the current state of the liquid nitrogen tank is: Among them, S status Score the comprehensive status of the liquid nitrogen tank, ω T ,ω L ,ω P are the weight coefficients of temperature, liquid level and pressure respectively, T avg is the average temperature of the liquid nitrogen tank, T threshold is the temperature safety threshold, L percent is the percentage of the current liquid level in the liquid nitrogen tank, L threshold is the liquid level safety threshold, P diff is the pressure difference between the inside and outside of the liquid nitrogen tank, P threshold is the pressure difference safety threshold.

6. The gamete and embryo intelligent storage management system for a reproductive center according to claim 5, characterized in that: The analysis and prediction module includes: The data analysis unit is used to visualize the real-time and historical status of the liquid nitrogen tank through the Web or mobile App, and then perform trend analysis based on the historical status data to obtain the temperature change trend and predicted liquid level height; The fault prediction unit is used to train the machine learning model with historical status data to obtain a fault prediction model, and then input the temperature change trend, predicted liquid level height and pressure difference into the fault prediction model to obtain the failure probability of the liquid nitrogen tank.

7. The intelligent storage and management system for gametes and embryos used in reproductive centers according to claim 6, characterized in that: The expression of the temperature change trend is: The expression for predicting the liquid level height is: L predicted =L current -R avg ·Δt Among them, T trend is the temperature change trend, T i is the temperature value collected for the i-th time, t i is the timestamp of the i-th acquisition, n is the total number of acquisitions, L predicted is the predicted liquid level height, L current is the current liquid level, R avg is the liquid nitrogen consumption rate, and Δt is the predicted time interval.

8. The gamete and embryo intelligent storage and management system for a reproductive center according to claim 7, characterized in that: The high-density storage module comprises: The space optimization unit is used to design and install a multi-layer storage rack with adjustable layer height according to the size of the liquid nitrogen tank, and to design a single-tube container for storing a single sample and a multi-tube container for storing multiple samples according to the sample storage requirements; wherein the multi-layer storage rack is provided with slots adapted to the single-tube container and the multi-tube container; The container identification unit is used to set an identification code including sample-related information on the single-tube container and the multi-tube container.

9. The intelligent storage and management system for gametes and embryos used in reproductive centers according to claim 8, characterized in that: The centralized management module includes: A database unit, used to construct a sample archive including sample number, sample source, collection date, freezing date, storage location and other information based on a relational database or a distributed database; The permission management unit is used to define user roles and assign different operation permissions to each user role. The remote maintenance unit is used for the remote monitoring interface based on the Web or App to display the real-time status of the liquid nitrogen tank and provide abnormal reminders, and automatically generate energy consumption reports, sample entry and exit reports, and equipment safety reports.

10. The gamete and embryo intelligent storage and management system for a reproductive center according to claim 9, characterized in that: The sample number includes an identification code, the sample source includes the patient's name and number, the storage location includes the liquid nitrogen tank number, the storage shelf number and the slot number, and the other information includes the storage period and the sample type; The energy consumption report includes liquid nitrogen consumption and electricity usage, the sample entry and exit report includes sample storage and retrieval records, and the equipment safety report includes the number of abnormal alarms, fault types and fault probabilities.

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