A panoramic interactive biological sample management standardized VR training system

Abstract

The present application relates to the technical field of online management of biological samples, and is a panoramic interactive biological sample management standardized VR training system, specifically comprising: a training data acquisition module, a coupling analysis module, a risk assessment module, an operation accident prediction module and a VR simulation output module; the present application solves the problem in the prior art that, in the existing VR training system, there is a lack of modeling and high-fidelity simulation capability for such multi-physical field, cross-time scale coupling risk, resulting in that the training effect is often superficial, and the operator lacks deep cognition of real complex risks.

Description

Technical Field

[0001] This invention relates to the field of online biological sample management technology, and is a panoramic interactive standardized VR training system for biological sample management. Background Technology

[0002] Biological samples, especially those stored at low temperatures, are valuable resources for life science research and clinical diagnosis. These samples are typically preserved in cryovials or similar containers in ultra-low temperature environments (such as liquid nitrogen gas phase or -80°C freezers). Standardized sample handling procedures are crucial for maintaining sample integrity, preventing cross-contamination, and ensuring data reliability. During the cryogenic management of biological samples, to ensure the airtightness of the sample vials and prevent sample evaporation, contamination, or degradation, operators are usually required to perform standardized opening and closing operations on the vials, applying a specified torque. The sealing torque of the vial cap and the structural integrity of the vial body are two key factors ensuring sample safety.

[0003] Currently, training and assessment for biosample management operations have the following shortcomings: First, most existing training methods focus only on the standardization of operational procedures, such as the sequence of steps and aseptic techniques, while neglecting the significant impact of the sample container's condition on operational safety. For example, in real-world scenarios, the sealing performance of sample bottle caps can deteriorate due to material cold creep and repeated freeze-thaw cycles. Simultaneously, the bottle structure may experience micro-stress concentration due to the slow growth of internal ice crystals or the accumulation of historical mechanical stress. Existing training systems fail to fully consider these hidden container conditions, making it impossible to simulate operational risks arising from poor container conditions in real-world scenarios. Second, existing VR training emphasizes process simulation but lacks effective simulation and assessment of the dynamic human-machine-environment coupling risks during operation. The operation process is a complex multi-physics coupling process. Factors such as the operator's reduced tactile feedback due to wearing cold, thick gloves, the excessive torque unconsciously applied to a loosened cap to compensate for tactile discomfort, and the stress coupling effect caused by this excessive torque being transmitted through the cap threads to the bottle opening area with existing stress concentration or micro-ice crystals, all affect operational safety in real time. Traditional VR training often lacks the ability to model and simulate high-fidelity risks that are coupled across multiple physical fields and time scales, resulting in superficial training effects and operators lacking in-depth understanding of real and complex risks. Summary of the Invention

[0004] The technical problem to be solved by this invention is that existing VR training systems lack the ability to model and simulate such multi-physics field and cross-timescale coupled risks, which often leads to superficial training results and operators lacking in-depth understanding of real and complex risks. This invention proposes a panoramic interactive standardized VR training system for biological sample management.

[0005] To achieve the above objectives, the present invention provides a panoramic interactive standardized VR training system for biological sample management, comprising the following modules: The system includes a training data acquisition module, a coupling analysis module, a risk assessment module, an operational accident prediction module, and a VR simulation output module. The training data acquisition module acquires torque state data of cryopreservation tube caps and structural state data of cryopreservation tube bodies corresponding to biological samples through a virtual multiphysics field sensing module. At the same time, it acquires data on the operating force of the operator in the VR scene and the posture jitter data of the cryopreservation tube during the operation. The coupling analysis module performs operation interface coupling analysis based on the torque state data of the cryopreservation tube cap corresponding to the biological sample and the structural state data of the cryopreservation tube body. The risk assessment module assesses the operational risk level based on the operation interface coupling analysis results and the operator's operational force data in the VR scene; The operation accident prediction module predicts the overall risk status of the cryopreservation tube based on the assessment results of the operation risk level and the fluctuation characteristics data of the operator's operating torque during the operation. The VR simulation output module performs risk warning and consequence simulation based on the prediction results of the comprehensive risk status of cryopreservation tubes.

[0006] Preferably, the torque status data of the cryopreservation tube cap includes: a current sealing torque attenuation coefficient obtained by calculating the ratio of the current sealing torque value of the cryopreservation tube to the preset nominal sealing torque value marked at the factory. The torque status data of the cryopreservation tube cap also includes: torque attenuation stability coefficient. ; The structural condition data of the cryopreservation tube body includes: stress concentration factor. Its distribution and stress concentration distribution entropy ; The operator's force data in the VR scene is a real-time torque sequence obtained through a force feedback controller. And correlate it with the environmental haptic attenuation coefficient in the current VR scene. During the operation, the attitude jitter data of the cryovial is obtained through a virtual inertial measurement unit to acquire the attitude perturbation parameters of the cryovial, including the interface perturbation enhancement factor induced by cryovial jitter during operator training. .

[0007] Preferably, the coupling analysis module is used to run the following strategy, including: A1: Obtain the current sealing torque attenuation coefficient of the cryopreservation tube cap. The torque decay trend stability analysis formula is then used to perform torque decay trend stability analysis, resulting in the torque decay stability coefficient. ; A2: Obtain the stress concentration factor of the cryopreservation tube body. The stress concentration coefficients of each region of the bottle are imported into the stress concentration distribution entropy analysis formula to perform stress concentration distribution entropy analysis, thus obtaining the stress concentration distribution entropy. ; A3: Based on the results of torque decay trend stability analysis, stress concentration distribution entropy analysis, and interfacial brittleness catalytic factors in the stress concentration regions of the bottle cap thread and bottle mouth. Perform an operational interface coupling analysis, where the operational interface coupling analysis formula is: ; in, The results of the operation interface coupling analysis; It is a catalyst for interfacial brittleness.

[0008] Preferably, the risk assessment module is used to run the following strategy: Acquire data on the force of operation and the standard force of operation in the VR scene, and at the same time, acquire the stress concentration area of ​​the cryopreservation tube body, and conduct a vulnerability analysis of the bottle body structure based on the stress concentration area of ​​the cryopreservation tube body. The vulnerability analysis results of the bottle structure and the operational force data of the operator in the VR scene were used to conduct operational torque overload and fluctuation analysis. The operational force data of the operator in the VR scene is the tactile attenuation coefficient corresponding to the current environment. The operating torque index below; The formula for analyzing operating torque overload and fluctuation is as follows: ; in, To sense the intended torque after correction, For standard operating torque, The variance of the operating torque sequence, These are the weighting coefficients. It is the hyperbolic tangent function.

[0009] Preferably, the risk assessment module is further configured to run the following strategy: obtain the results of operating torque overload and volatility analysis. Operational risk assessment is conducted using standard force data of operational actions and the results of coupling analysis of the operational interface. The dynamic risk increment of the operation training is obtained. The operational risk assessment includes: taking the results of the operational torque overload and volatility analysis. hyperbolic tangent function value ,right as well as Perform a weighted summation and then multiply by the operational risk assessment. Obtain the dynamic risk increment of operational training .

[0010] Preferably, the operation accident prediction module is used to run the following strategy, specifically including: acquiring torque fluctuation characteristic data of the cryopreservation tube during operation, performing torque-stress transient coupling analysis based on the peak value, fluctuation amplitude, and fluctuation frequency of the operation torque sequence, and obtaining the torque-stress transient coupling influence intensity. The formula for analyzing the intensity of the transient coupling effect of torque and stress is as follows: ; in, This represents the portion of the peak torque in the real-time operating torque sequence that exceeds the nominal torque. The torque-stress conversion factor. The stress concentration distribution entropy, The stress concentration sensitivity coefficient, The standard deviation of the operating torque sequence during critical operating periods characterizes the torque fluctuation amplitude. This represents the torque fluctuation influence coefficient.

[0011] Preferably, the operational accident prediction module is used to run the following strategy, including: dynamic risk increment based on operational training. and the influence of torque-stress transient coupling on strength The probability of immediate rupture of cryopreservation tubes is predicted, and the formula for predicting the probability of immediate rupture of cryopreservation tubes is as follows: ; in, To predict the probability of immediate rupture of the obtained cryopreservation tubes; This represents the system scaling factor.

[0012] Preferably, the VR simulation output module performs risk warning and consequence simulation based on the prediction results of the comprehensive risk status of cryopreservation tubes, including the following specific contents: The probability of immediate rupture of the cryopreservation tube obtained With the set multi-level risk thresholds Comparison: like Greater than The VR training system begins to generate high-frequency, low-amplitude warning vibrations on the controllers in the VR scene, while a red light illuminates at the edge of the operator's field of vision. like Greater than The VR training system immediately triggers visualization teaching of micromechanics, including: freezing the current operation screen and finding the stress concentration distribution entropy. The lowest point is designated as the most vulnerable point in this training exercise. The viewpoint automatically zooms in and focuses on the predicted value, dynamically demonstrating the overload torque at that point using a semi-transparent overlay method. Animation showing how the microscopic process of coupling with existing stress concentration leads to molecular bond breaking and microcrack initiation; like Greater than The VR training system triggers a full-chain consequence simulation, including: micro-cracks rapidly expanding in the scene, accompanied by cracking sound effects; simultaneously, the virtual bottle undergoes macroscopic fracture along the crack path; fragments and virtual sample liquid realistically splash and flow based on a physics engine, contaminating the virtual work area; finally, the system completely locks, and an accident analysis report for this training operation pops up, displayed visually. , as well as The percentage of risk contribution.

[0013] A storage medium storing instructions that, when read by a computer, cause the computer to run the aforementioned panoramic interactive standardized VR training system for biological sample management.

[0014] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to run the aforementioned panoramic interactive standardized VR training system for biological sample management.

[0015] Compared with the prior art, the technical effects of the present invention are as follows: This invention employs a coupled risk state analysis based on multiple factors, including sample bottle cap torque decay, bottle body stress concentration, and interface ice crystal proliferation. Based on this analysis and combined with environmental tactile attenuation, it predicts intent and assesses risks related to real-time operational torque. Furthermore, it simulates the phase transition stress coupling effect caused by operational force squeezing interface ice crystals, ultimately predicting the immediate risk of sample bottle breakage and providing a consequence simulation. This invention incorporates the time-varying characteristics of the sample container, environmental interference, human perception errors, and operational dynamics into a unified simulation model. From a multi-dimensional, multi-physics field coupled perspective, it assesses and visualizes the hidden risks in biosample management operations, providing a more scientific and predictive technical solution for standardized biosample safety training. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a schematic diagram of the structure of a panoramic interactive standardized VR training system for biological sample management according to the present invention. Detailed Implementation

[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0018] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0020] Example 1: like Figure 1 As shown in the figure, an embodiment of the present invention provides a standardized VR training system for panoramic interactive biological sample management, such as... Figure 1 As shown, it includes the following modules: The system includes a training data acquisition module, a coupling analysis module, a risk assessment module, an operational accident prediction module, and a VR simulation output module. The training data acquisition module acquires torque state data of cryopreservation tube caps and structural state data of cryopreservation tube bodies corresponding to biological samples through a virtual multiphysics field sensing module. At the same time, it acquires data on the operating force of the operator in the VR scene and the posture jitter data of the cryopreservation tube during the operation. The torque status data of the cryopreservation tube cap includes: a current sealing torque attenuation coefficient obtained by calculating the ratio of the current sealing torque value of the cryopreservation tube to the nominal sealing torque preset value marked at the factory. and torque attenuation stability coefficient ; The structural condition data of the cryopreservation tube body includes: stress concentration factor. Its distribution and stress concentration distribution entropy ; For example, in this embodiment, the stress concentration factor By performing parametric finite element analysis on the geometric model of the virtual cryopreservation tube and combining it with its historical load records, the ratio of the maximum equivalent stress to the standard nominal stress in each preset key area was calculated. The operator's force data in the VR scene is a real-time torque sequence obtained through a force feedback controller. And correlate it with the environmental haptic attenuation coefficient in the current VR scene. During the operation, the attitude jitter data of the cryovial is obtained through a virtual inertial measurement unit to acquire the attitude perturbation parameters of the cryovial, including the interface perturbation enhancement factor induced by cryovial jitter during operator training. .

[0021] The coupling analysis module performs operation interface coupling analysis based on the torque state data of the cryopreservation tube cap corresponding to the biological sample and the structural state data of the cryopreservation tube body. The coupling analysis module is used to run the following strategies, including: A1: Obtain the current sealing torque attenuation coefficient of the cryopreservation tube cap. The torque decay trend stability analysis formula is then used to perform torque decay trend stability analysis, resulting in the torque decay stability coefficient. ; In one implementation of this application, the formula for analyzing the stability of the torque attenuation trend is: Where N is the number of reference cryovials from the same batch or with the same service history in the virtual sample library. Let be the torque attenuation coefficient of the i-th reference sample. This formula uses the average torque decay coefficient of the reference samples. It should be noted that this formula essentially measures the dispersion of the current torque decay state of the cryopreserved tubes relative to historical statistical norms. When the torque decay coefficient of each reference sample... The closer to the average At that time, torque attenuation stability coefficient The closer the value is to 1, the more stable the cap performance degradation pattern is and the controllable operational training risks are for that batch or historical condition; conversely, the torque degradation stability coefficient is lower. The smaller the value, the more likely the torque decay of the cryopreservation tube may be abnormal, and the higher the risk. A2: Obtain the stress concentration factor of the cryopreservation tube body. The stress concentration coefficients of each region of the bottle are imported into the stress concentration distribution entropy analysis formula to perform stress concentration distribution entropy analysis, thus obtaining the stress concentration distribution entropy. ; In one implementation of this application, the stress concentration distribution entropy analysis formula is: ; Where R represents the number of key regions. For example, in this embodiment, the key regions include: the root of the thread of the cryopreservation tube, the transition area of ​​the bottle shoulder, the edge of the bottle bottom, and the label pasting area. Let be the critical stress concentration factor for the r-th region. It should be noted that... A high value indicates that the stress concentration is dispersed and there are no prominent danger points; A low value indicates the presence of one or a few hazardous points with a much higher degree of stress concentration than other areas, indicating a high concentration of risk. A3: Based on the results of torque decay trend stability analysis, stress concentration distribution entropy analysis, and interfacial brittleness catalytic factors in the stress concentration regions of the bottle cap thread and bottle mouth. Perform an operational interface coupling analysis, where the operational interface coupling analysis formula is: ; in, The results of the coupling analysis of the operation interface are used to identify static coupling risks. It is a catalyst for interfacial brittleness.

[0022] It should be noted that in the formula for analyzing the coupling of the operation interface... This constitutes an inherent risk in operational training, with steady decay and dispersed stress concentration (i.e., high) and high This results in a smaller value, indicating a lower inherent risk. As a catalyst, it amplifies the inherent risks of operational training in a multiplicative manner. This is especially true when the interface carries the risk of ice crystal formation due to micro-leakage (i.e.,...). A value greater than 1 will significantly increase the base risk. Conversely, when the seal is good and the operation is stable. Approximately equal to 1.

[0023] The risk assessment module assesses the operational risk level based on the operation interface coupling analysis results and the operator's operational force data in the VR scene; The risk assessment module is used to run the following strategies: The system acquires data on the force exerted by operators in a VR environment, as well as data on the standard force exerted by the operators. It also acquires data on the stress concentration areas of the cryopreservation tubes and performs structural fragility analysis based on the stress concentration areas of the cryopreservation tubes to quantify the impact of structural fragility on the tolerance to force exerted. The vulnerability analysis results of the bottle structure and the operational force data of the operator in the VR scene were used to conduct operational torque overload and fluctuation analysis. The operational force data of the operator in the VR scene is the tactile attenuation coefficient corresponding to the current environment. The operating torque index below; The formula for analyzing operating torque overload and fluctuation is as follows: ; in, To sense the intended torque after correction, For standard operating torque, The variance of the operating torque sequence, These are the weighting coefficients. This is the hyperbolic tangent function, used to map the degree of overload to the interval [0,1); For example, in this embodiment, an environmental tactile attenuation coefficient is provided. The acquisition strategy is as follows: First, through ergonomic experiments, 50 operators managing biological samples were observed wearing different types and thicknesses of gloves, including 5mm latex gloves, 8mm nitrile gloves, and 12mm low-temperature antifreeze gloves, and performing tightening operations on a standard torque tester.

[0024] Record the average percentage deviation of the actual applied torque when the operator achieves the tightening operation of the cryopreservation tube with a preset standard torque of 0.5 N / m without visual assistance; Finally, a curve showing the relationship between glove thickness *d* and the percentage of average torque deviation was established. The normalized deviation value was mapped to an attenuation coefficient to obtain the environmental tactile attenuation coefficient under different operating environments. The mapping table.

[0025] It should be noted that the environmental tactile attenuation coefficient reflects the degree of attenuation of tactile feedback in the hands caused by wearing gloves in different training scenarios. Its value ranges from 0 to 1. The maximum value of the environmental tactile attenuation coefficient indicates no attenuation, such as when operating with bare hands. The smaller the environmental tactile attenuation coefficient, the more severe the tactile attenuation.

[0026] The risk assessment module is also used to run the following strategy: obtain the analysis results of operating torque overload and volatility. Operational risk assessment is conducted using standard force data of operational actions and the results of coupling analysis of the operational interface. The dynamic risk increment of the operation training is obtained. The operational risk assessment includes: taking the results of the operational torque overload and volatility analysis. hyperbolic tangent function value ,right as well as Perform a weighted summation and then multiply by the operational risk assessment. Obtain the dynamic risk increment of operational training ; It should be noted that the dynamic risk increment of operational training Not only proportional to the risk base of the cryopreservation tube itself It is also affected by the nonlinear superposition of operator overload and environmental interference.

[0027] The operation accident prediction module predicts the overall risk status of the cryopreservation tube based on the assessment results of the operation risk level and the fluctuation characteristics data of the operator's operating torque during the operation. The operational accident prediction module is used to run the following strategy, specifically including: acquiring torque fluctuation characteristic data of the cryopreservation tube during operation, performing torque-stress transient coupling analysis based on the peak value, fluctuation amplitude, and fluctuation frequency of the operational torque sequence, and obtaining the torque-stress transient coupling influence intensity. The formula for analyzing the intensity of the transient coupling effect of torque and stress is as follows: ; in, This represents the portion of the peak torque in the real-time operating torque sequence that exceeds the nominal torque. The torque-stress conversion factor is related to the elastic modulus of the cryopreservation tube material and was obtained through simulation experiments. The stress concentration distribution entropy, The stress concentration sensitivity coefficient, The standard deviation of the operating torque sequence during critical operating periods characterizes the torque fluctuation amplitude. This is the torque fluctuation influence coefficient; It should be noted that, The more concentrated the stress concentration distribution, the better. The smaller the value, the stronger the coupling effect. The more significantly it is magnified; and The term represents the dynamic amplification effect of torque fluctuation on coupling effect; the torque-stress transient coupling analysis strategy can accurately quantify the transient impact intensity caused by an unstable operation during operator training on a cryogenic tube with interface defects and structural weaknesses; The operational accident prediction module is used to run the following strategy, including: dynamic risk increment based on operational training. and the influence of torque-stress transient coupling on strength The probability of immediate rupture of cryopreservation tubes is predicted, and the formula for predicting the probability of immediate rupture of cryopreservation tubes is as follows: ; in, To predict the probability of immediate rupture of the obtained cryopreservation tubes; For system scale coefficients, it should be noted that the prediction of the probability of immediate rupture of cryopreservation tubes based on the operational risk assessment results and the transient coupling effect intensity can comprehensively consider the progressive risks and transient impact risks affecting the safety of cryopreservation tubes. The operational risk reflects the dynamic risk accumulated by operational behavior and environmental disturbances, while the transient coupling effect intensity is used to quantify the operational risk caused by the coupling of torque peak and torque fluctuation on hidden defects in cryopreservation tubes.

[0028] The VR simulation output module performs risk warning and consequence simulation based on the prediction results of the comprehensive risk status of cryopreservation tubes.

[0029] The VR simulation output module performs risk warning and consequence simulation based on the prediction results of the comprehensive risk status of cryopreservation tubes, including the following specific contents: The probability of immediate rupture of the cryopreservation tube obtained With multi-level risk thresholds set based on sample value and hazard level Comparison: like Greater than The VR training system begins to generate high-frequency, low-amplitude warning vibrations on the controllers in the VR scene, while a red light illuminates at the edge of the operator's field of vision. like Greater than The VR training system immediately triggers visualization teaching of micromechanics, including: freezing the current operation screen and finding the stress concentration distribution entropy. The lowest point is designated as the most vulnerable point in this training exercise. The viewpoint automatically zooms in and focuses on the predicted value, dynamically demonstrating the overload torque at that point using a semi-transparent overlay method. Animation showing how the microscopic process of coupling with existing stress concentration leads to molecular bond breaking and microcrack initiation; like Greater than The VR training system triggers a full-chain consequence simulation, including: micro-cracks rapidly expanding in the scene, accompanied by cracking sound effects; simultaneously, the virtual bottle undergoes macroscopic fracture along the crack path; fragments and virtual sample liquid realistically splash and flow based on a physics engine, contaminating the virtual work area; finally, the system completely locks, and an accident analysis report for this training operation pops up, displayed visually. , as well as The percentage of risk contribution.

[0030] Example 2: Exemplarily, in this embodiment, an interfacial brittleness catalytic factor is provided. The acquisition strategy is as follows: First, when creating each cryopreservation bottle for a virtual biological sample, a basic sealing level L is assigned based on its virtual production batch and model. For example, L=1,2,3 corresponds to high, medium, and low sealing performance, and the level is mapped to a basic leakage rate.

[0031] Then, the virtual storage environment humidity history of the cryovial was recorded. The cumulative water vapor intrusion W is estimated by integrating the humidity over time and multiplying it by the leakage rate.

[0032] At the same time, the number of freeze-thaw cycles experienced by the cryopreservation tube was recorded. It should be noted that the amount of water vapor intrusion W will precipitate and accumulate in the threaded gaps during each freeze-thaw cycle, and the ice crystal potential will be assessed. , where a is the ice crystal growth coefficient for each freeze-thaw cycle.

[0033] Finally, the interfacial brittleness catalytic factor is calculated using the following formula. , ,in, This is used as a reference for the ice crystal potential threshold.

[0034] Example 3: For example, in this embodiment, an interface perturbation enhancement factor induced by cryopreservation tube shaking during operator training is provided. The acquisition strategy is as follows: First, the triaxial angular velocity of the cryopreservation tube during the tightening process is acquired using a virtual IMU. With linear acceleration ; Then, the jitter-induced equivalent shear rate is calculated, including: in, To synthesize the shear driving potential, this is used to characterize the intensity of the relative motion tendency induced by the attitude jitter of cryovials at the interface. For reference tightening speed; simultaneously, an interfacial brittleness catalytic factor is introduced, and an ice crystal activity factor is defined. Among them, ice crystal activity factor When there are no significant ice crystals, Approximately zero, at which point the perturbation effect of the cryopreservation tube's attitude jitter on the interface is negligible.

[0035] Finally, calculate the interface perturbation enhancement factor. , ,in, It is the root mean square value of the comprehensive shear driving potential during the tightening process, representing the average intensity of the vibration. It is the critical shear drive potential, which is used to characterize the shear energy threshold required to initiate significant rolling rearrangement of ice crystal particles. When it is below At that time, the vibration of the cryovial's posture has a slight impact; if it is higher than... The fluidization effect is significantly enhanced and tends to saturate. It should be noted that the interface perturbation enhancement factor... This reflects the amplification effect of attitude jitter on the distribution of ice crystals and stress transmission at the interface. The attitude jitter of cryopreservation tubes of biological samples can be regarded as applying a time-varying shear field to the possible ice crystal particles / water film within the sealed gap of the cap thread. This shear field will drive the ice crystal particles to undergo micro-rolling and rearrangement, resulting in dynamic changes in the interface friction coefficient and stress transmission path.

[0036] Example 4: This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor runs the aforementioned panoramic interactive standardized VR training system for biological sample management by calling computer programs stored in memory.

[0037] The electronic device can vary considerably depending on its configuration or performance. It may include one or more Central Processing Units (CPUs) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to run the panoramic interactive standardized VR training system for biological sample management provided in the above-described method embodiment. The electronic device may also include other components for implementing its functions; for example, it may have wired or wireless network interfaces and input / output interfaces for data input and output. Details will not be elaborated upon in this embodiment.

[0038] Example 5: This embodiment proposes a computer-readable storage medium on which an erasable and rewritable computer program is stored. When the computer program runs on the computer device, it enables the computer device to run the aforementioned panoramic interactive standardized VR training system for biological sample management.

[0039] For example, computer-readable storage media can be read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage devices.

[0040] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0041] It should be understood that determining B based on A does not mean determining B solely based on A; it also means determining B based on A and / or other information.

[0042] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network and / or wireless network. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives (SSDs).

[0043] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0044] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0045] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0046] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A standardized VR training system for panoramic interactive biological sample management, characterized in that, The system includes: The system includes a training data acquisition module, a coupling analysis module, a risk assessment module, an operational accident prediction module, and a VR simulation output module. The training data acquisition module acquires torque state data of cryopreservation tube caps and structural state data of cryopreservation tube bodies corresponding to biological samples through a virtual multiphysics field sensing module. At the same time, it acquires data on the operating force of the operator in the VR scene and the posture jitter data of the cryopreservation tube during the operation. The coupling analysis module performs operation interface coupling analysis based on the torque state data of the cryopreservation tube cap corresponding to the biological sample and the structural state data of the cryopreservation tube body. The coupling analysis module is used to run the following strategies, including: A1: Obtain the current sealing torque attenuation coefficient of the cryopreservation tube cap. The torque decay trend stability analysis formula is then used to perform torque decay trend stability analysis, resulting in the torque decay stability coefficient. ; A2: Obtain the stress concentration factor of the cryopreservation tube body. The stress concentration coefficients of each region of the bottle are imported into the stress concentration distribution entropy analysis formula to perform stress concentration distribution entropy analysis, thus obtaining the stress concentration distribution entropy. ; A3: Based on the results of torque decay trend stability analysis, stress concentration distribution entropy analysis, and interfacial brittleness catalytic factors in the stress concentration regions of the bottle cap thread and bottle mouth. Perform an operational interface coupling analysis, where the operational interface coupling analysis formula is: ； in, The results of the operation interface coupling analysis; It is a catalyst for interfacial brittleness; The risk assessment module assesses the operational risk level based on the operation interface coupling analysis results and the operator's operational force data in the VR scene; The operation accident prediction module predicts the overall risk status of the cryopreservation tube based on the assessment results of the operation risk level and the fluctuation characteristics data of the operator's operating torque during the operation. The VR simulation output module performs risk warning and consequence simulation based on the prediction results of the comprehensive risk status of cryopreservation tubes.

2. The panoramic interactive standardized VR training system for biological sample management according to claim 1, characterized in that, The torque status data of the cryopreservation tube cap includes: a current sealing torque attenuation coefficient obtained by calculating the ratio of the current sealing torque value of the cryopreservation tube to the nominal sealing torque preset value marked at the factory. The torque status data of the cryopreservation tube cap also includes: torque attenuation stability coefficient. ; The structural condition data of the cryopreservation tube body includes: stress concentration factor. Its distribution and stress concentration distribution entropy ; The operator's force data in the VR scene is a real-time torque sequence obtained through a force feedback controller. And correlate it with the environmental haptic attenuation coefficient in the current VR scene. The attitude jitter data of the cryopreservation tube during the operation is obtained through a virtual inertial measurement unit to acquire the attitude perturbation parameters of the cryopreservation tube. It also includes an interface perturbation enhancement factor induced by cryopreservation tube jitter during operator training. .

3. The panoramic interactive standardized VR training system for biological sample management according to claim 2, characterized in that, The risk assessment module is used to run the following strategies: Acquire data on the force of operation and the standard force of operation in the VR scene, and at the same time, acquire the stress concentration area of ​​the cryopreservation tube body, and conduct a vulnerability analysis of the bottle body structure based on the stress concentration area of ​​the cryopreservation tube body. The vulnerability analysis results of the bottle structure and the operational force data of the operator in the VR scene were used to conduct operational torque overload and fluctuation analysis. The operational force data of the operator in the VR scene is the tactile attenuation coefficient corresponding to the current environment. The operating torque index below; The formula for analyzing operating torque overload and fluctuation is as follows: ； in, To sense the intended torque after correction, For standard operating torque, The variance of the operating torque sequence, These are the weighting coefficients. It is the hyperbolic tangent function.

4. The panoramic interactive standardized VR training system for biological sample management according to claim 3, characterized in that, The risk assessment module is also used to run the following strategy: obtain the analysis results of operating torque overload and volatility. Operational risk assessment is conducted using standard force data of operational actions and the results of coupling analysis of the operational interface. The dynamic risk increment of the operation training is obtained. The operational risk assessment includes: taking the results of the operational torque overload and volatility analysis. hyperbolic tangent function value ,right as well as Perform a weighted summation, then multiply by the operational risk assessment. Obtain the dynamic risk increment of operational training .

5. The standardized VR training system for panoramic interactive biological sample management according to claim 4, characterized in that, The operational accident prediction module is used to run the following strategy, specifically including: acquiring torque fluctuation characteristic data of the cryopreservation tube during operation, performing torque-stress transient coupling analysis based on the peak value, fluctuation amplitude, and fluctuation frequency of the operational torque sequence, and obtaining the torque-stress transient coupling influence intensity. The formula for analyzing the intensity of the transient coupling effect of torque and stress is as follows: ； in, This represents the portion of the peak torque in the real-time operating torque sequence that exceeds the nominal torque. The torque-stress conversion factor. The stress concentration distribution entropy, The stress concentration sensitivity coefficient, The standard deviation of the operating torque sequence during critical operating periods characterizes the torque fluctuation amplitude. This represents the torque fluctuation influence coefficient.

6. The panoramic interactive standardized VR training system for biological sample management according to claim 5, characterized in that, The operational accident prediction module is used to run the following strategy, including: dynamic risk increment based on operational training. and the influence of torque-stress transient coupling on strength The probability of immediate rupture of cryopreservation tubes is predicted, and the formula for predicting the probability of immediate rupture of cryopreservation tubes is as follows: ; in, To predict the probability of immediate rupture of the obtained cryopreservation tubes; This represents the system scaling factor.

7. The panoramic interactive standardized VR training system for biological sample management according to claim 6, characterized in that, The VR simulation output module performs risk warning and consequence simulation based on the prediction results of the comprehensive risk status of cryopreservation tubes, including the following specific contents: The probability of immediate rupture of the cryopreservation tube obtained With the set multi-level risk thresholds Comparison: like Greater than The VR training system begins to generate high-frequency, low-amplitude warning vibrations on the controllers in the VR scene, while a red light illuminates at the edge of the operator's field of vision. like Greater than The VR training system immediately triggers visualization teaching of micromechanics, including: freezing the current operation screen and finding the stress concentration distribution entropy. The lowest point is designated as the most vulnerable point in this training exercise. The viewpoint automatically zooms in and focuses on the predicted value, dynamically demonstrating the overload torque at that point using a semi-transparent overlay method. Animation showing how the microscopic process of coupling with existing stress concentration leads to molecular bond breaking and microcrack initiation; like Greater than The VR training system triggers a full-chain consequence simulation, including: micro-cracks rapidly expanding in the scene, accompanied by cracking sound effects; simultaneously, the virtual bottle breaks along the crack path; fragments and virtual sample liquid realistically splash and flow based on a physics engine, contaminating the virtual work area; finally, the system locks completely, and an accident analysis report for this training operation pops up, displayed visually. , as well as The percentage of risk contribution.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it runs a standardized VR training system for panoramic interactive biological sample management as described in any one of claims 1-7.

9. An electronic device, characterized in that, include: Memory, used to store instructions; A processor for executing the instructions, causing the device to perform and run the operation of a panoramic interactive standardized VR training system for biological sample management as described in any one of claims 1-7.

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