Full-dimension monitoring system of intelligent specimen cabinet

Abstract

The application discloses a full-dimension monitoring system of an intelligent specimen cabinet, and belongs to the technical field of biological sample storage management. The full-dimension monitoring system is arranged in the intelligent specimen cabinet. The full-dimension monitoring system receives a sample storage and taking instruction, generates a moving path based on a target storage and taking position, and performs storage and taking movement on the target. The full-dimension monitoring system is constructed to include an environment parameter monitoring system, a safety protection monitoring system and a three-dimensional construction system. The full-dimension monitoring system realizes all-around management and control on the running state of the specimen cabinet, guarantees the stability of the sample storage environment, prevents risks caused by unauthorized intrusion and equipment abnormalities, and obtains temperature and humidity measured values corresponding to each position in the main body of the specimen cabinet. The full-dimension monitoring system calculates sample risk values corresponding to the failure risk degree of samples placed at each position in real time, identifies a high-risk area of sample failure and gives an early warning, and generates a four-dimensional data set in real time, so as to identify the hidden risks of samples caused by environmental slight fluctuation accumulation and operation interference.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of biological sample storage management, and particularly relates to a full-dimension monitoring system of an intelligent specimen cabinet. BACKGROUND

[0002] In the field of biological sample, chemical reagent and the like, the traditional specimen cabinet has long relied on manual operation mode, and has many technical limitations. The traditional equipment lacks full-range monitoring means, and the environmental parameter monitoring mainly relies on a single-point sensor, which cannot accurately reflect the temperature and humidity and gas concentration difference of different storage areas. When an abnormality occurs, it is difficult to give timely warning, and batch samples are often invalidated. In terms of safety protection, only simple door locks are used for protection, which cannot prevent unauthorized intrusion and mechanical failure caused safety accidents, and the operation records are mainly handwritten, which has low traceability efficiency. Once the samples are confused or lost, it is difficult to quickly locate the responsible link. SUMMARY

[0003] The present application aims to provide a full-dimension monitoring system of an intelligent specimen cabinet to solve the problems in the background.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a full-dimension monitoring system of an intelligent specimen cabinet, the full-dimension monitoring system is arranged in the intelligent specimen cabinet, the full-dimension monitoring system receives a sample storage and taking instruction, generates a moving path based on a target storage and taking position, and moves the target storage and taking position;

[0005] The full-dimension monitoring system periodically collects environmental data in the intelligent specimen cabinet, the environmental data is a temperature and humidity measured value corresponding to each position in the intelligent specimen cabinet, and the storage environment in the intelligent specimen cabinet is monitored. The sample risk value corresponding to the position where the sample is placed is calculated in real time, the sample failure high-risk area is identified based on the change of the storage environment, the warning mechanism is triggered and dynamic intervention is performed.

[0006] The full-dimension monitoring system records the operation record of the sample storage and taking and verifies whether it is compliant, identifies the illegal behavior and the implicit risk caused by the cumulative small fluctuation of the environment or the operation interference.

[0007] Further, the intelligent specimen cabinet comprises a specimen cabinet body and a reagent refrigerator, the specimen cabinet body is arranged in the interior of the reagent refrigerator, a sample inlet and outlet is formed on the front face of the reagent refrigerator, an automatic hatch and a telescopic tray are arranged in the sample inlet and outlet, the interior of the specimen cabinet body is divided into storage columns by a longitudinal partition plate, and a sample holder is arranged in the storage column.

[0008] Further, the full-dimension monitoring system comprises:

[0009] An intelligent transfer scheduling module is configured to: An intelligent transfer scheduling module is configured to:

[0010] After receiving the user sample access instruction, a target position coordinate is obtained to generate an optimal moving path, and the sample of the access target is moved based on the optimal moving path;

[0011] The environmental parameter monitoring module is configured to:

[0012] The environmental data is collected at a preset sampling period, and the environmental data is compared with a preset threshold range. When the environmental data deviates from the preset threshold range, a pre-warning mechanism is triggered, and the environmental adjustment device is started for dynamic intervention.

[0013] The safety protection monitoring module is configured to:

[0014] The real-time monitoring is performed on whether there is an unauthorized object entering the reagent refrigerator and the sample inlet and outlet;

[0015] The operation behavior tracing module is configured to:

[0016] The operation record containing time, position, operation object and execution result is generated, the operation record is checked for compliance by a rule engine, and a violation behavior is identified;

[0017] The three-dimensional construction module is configured to:

[0018] The three-dimensional model of the specimen cabinet main body is constructed by three-dimensional modeling, and the internal structure, specimen distribution and environmental parameters of the specimen cabinet main body are visualized based on the three-dimensional model;

[0019] The sample state association module is configured to:

[0020] The four-dimensional data set is formed by real-time association of environmental parameters and sample operation data, the implicit risk generated by the cumulative environmental slight fluctuation and operation interference of the sample is identified, and targeted intervention measures are started.

[0021] Further, the environmental parameter monitoring module comprises:

[0022] The multi-source data acquisition unit is configured to:

[0023] The environmental data is synchronously collected at a preset sampling period by deploying a temperature and humidity sensor group, a gas concentration detector array and a barometric pressure sensor in different areas inside the reagent refrigerator, the collected environmental data is cached and an environmental parameter original data set is generated;

[0024] The dynamic threshold warning unit is configured to:

[0025] The preset environmental parameter threshold matrix is called, and the environmental parameter threshold matrix contains the upper limit value, the lower limit value and the gas concentration safety threshold of the different storage areas;

[0026] The environmental parameter original data set is compared with the environmental parameter threshold matrix point by point, and the parameter deviation degree is obtained through a deviation calculation algorithm;

[0027] When the deviation degree exceeds the preset threshold, the warning mechanism and the adjustment signal are triggered according to the deviation degree, the abnormal information is recorded and the audible and visual alarm device is started, the warning signal is sent to the management terminal synchronously, and the three-dimensional coordinates of the abnormal area are marked;

[0028] The environmental self-adaptive adjustment unit is configured to:

[0029] After receiving the adjustment signal, the environmental adjustment device of the corresponding area is started;

[0030] The temperature adjustment is realized by the cooperation of the compressor refrigeration module and the heating wire assembly, and the output power is automatically adjusted according to the temperature difference value; the humidity adjustment is realized by the dehumidification fan and the humidification atomizer to realize bidirectional control, and the running time is adjusted according to the humidity deviation degree;

[0031] During the adjustment process, the environmental parameter changes are collected in real time until the environmental data returns to the threshold range, and the adjustment device is automatically stopped and the adjustment curve is recorded.

[0032] Further, the safety protection monitoring module comprises:

[0033] The multi-modal intrusion detection unit is configured to:

[0034] The infrared thermal imaging sensor array arranged in the reagent refrigerator is used to capture the temperature field distribution image in real time, and the laser profile scanner integrated with the sample inlet and outlet is started to generate three-dimensional profile data;

[0035] The temperature field distribution image is compared with the preset environmental temperature field benchmark model to identify the abnormal high-temperature area;

[0036] The three-dimensional profile data generated by the laser profile scanner is extracted, and matched with the three-dimensional feature library of authorized objects, and when the matching degree is lower than the preset threshold, it is determined that there is an unauthorized object;

[0037] The coordinates of the abnormal high-temperature area are associated with the identification result of the unauthorized object to generate an initial intrusion detection report;

[0038] The dynamic protection response unit is configured to:

[0039] The initial intrusion detection report is received, and a preset risk level evaluation model is called;

[0040] The risk level evaluation model calculates the intrusion risk coefficient based on the volume parameter, the motion speed and the distance parameter of the intrusion object;

[0041] When the risk coefficient is in the low-risk interval, the electromagnetic locking device of the sample inlet and outlet is started, and the audible and visual alarm of the local area is activated;

[0042] When the risk coefficient is in the high-risk interval, in addition to the low-risk response measures, the main power supply circuit of the reagent refrigerator is cut off on the basis of retaining the power supply of the monitoring system, the standby mode of the inert gas fire extinguishing device is started, and an emergency alarm signal containing a real-time video stream is sent to the security terminal;

[0043] In the protection response process, the position coordinates of the intruding object are updated in real time;

[0044] The intrusion trajectory tracing unit is configured to:

[0045] The motion video stream of the unauthorized object is collected through the multi-view camera array distributed inside the specimen cabinet main body;

[0046] Based on the frame image sequence in the video stream, the motion trajectory parameters of the unauthorized object are extracted using a motion target tracking algorithm, including displacement vector, turning angle, and motion acceleration;

[0047] The motion trajectory parameters are mapped with the three-dimensional model inside the specimen cabinet to generate a visual intrusion path atlas;

[0048] The time stamp information is associated to build a full trajectory data set containing the intrusion starting point, passing area, residence time, and final position.

[0049] Further, the top of the specimen cabinet main body is provided with a three-axis moving assembly, and a shovel disc mechanism is arranged on the three-axis moving assembly. A tube picking mechanical arm and a scanning mechanism are arranged near the sample inlet and outlet in the reagent refrigerator.

[0050] Further, the operation behavior tracing module includes:

[0051] The full-process data acquisition unit is configured to:

[0052] The specimen barcode output by the scanning mechanism is received in real time, and the specimen electronic tag data read by the RFID detection module integrated in the tube picking mechanical arm is acquired synchronously;

[0053] The identity verification information of the operator is obtained, and the identity verification information is an authorized code;

[0054] The X, Y, and Z axis real-time coordinate data of the three-axis moving assembly and the action state signal of the shovel disc mechanism are collected to form a mechanical operation trajectory record;

[0055] The specimen barcode, specimen electronic tag data, identity verification information, and mechanical operation trajectory record are associated and integrated according to the time stamp to build a full-process data set containing specimen information, operation subject, mechanical action, and time node.

[0056] The operation compliance verification unit is configured to:

[0057] Call a preset operation rule library, which contains sample authorized access range, mechanical operation path specification, and sample placement corresponding relationship verification criteria, and compare the full-process data set with the operation rule library item by item to identify irregularities through logical verification;

[0058] When it is detected that the operator's identity information is not in the authorized list or exceeds the authorized operation range, it is determined as unauthorized access;

[0059] When the actual sample placement position deviates from the preset storage column coordinates by more than 5 cm, or the sample label information does not match the target storage area, it is determined as sample misplacement;

[0060] Generate a verification report containing the type of violation, the time of violation, the associated sample, and the operation trajectory.

[0061] Further, the environmental parameter monitoring module further comprises:

[0062] A sample storage risk early warning unit is configured to:

[0063] Obtain data collected by the temperature and humidity sensor group; wherein the data collected by the temperature and humidity sensor group includes a temperature measured value corresponding to the position of the storage column, and a humidity measured value corresponding to the position of the storage column;

[0064] Based on the data collected by the temperature and humidity sensor group, a sample risk value representing the degree of failure risk of the sample placed in the storage column is calculated in real time by the following formula:

[0065]

[0066] Wherein, is the sample risk value of the storage column, is the temperature measured value corresponding to the position of the storage column in the data collected by the temperature and humidity sensor group, is the humidity measured value corresponding to the position of the storage column in the data collected by the temperature and humidity sensor group, is the preset optimal storage temperature, is the preset optimal storage humidity, is the preset temperature critical deviation, is the preset humidity critical deviation, is the temperature and humidity of the position of the storage column in history that simultaneously exceed the range of - , + ] range and - , + cumulative duration of the range, is a preset time limit, , and is a preset weight value;

[0067] When the sample risk value of the storage column exceeds the preset threshold, it is determined that the storage column has a risk of sample failure exceeding the standard, and the storage column is marked as a sample failure high-risk area in the three-dimensional model to warn the manager to intervene accordingly.

[0068] Further, the full-dimensional monitoring system of the intelligent specimen cabinet further comprises:

[0069] A multi-stage linkage response module is configured to:

[0070] An abnormal event hierarchical response matrix is established, and the abnormal event hierarchical response matrix includes: a first event and a corresponding first event response strategy and a second event and a corresponding second event response strategy;

[0071] The first event includes an intrusion locking event triggered by the safety protection monitoring module.

[0072] The first event response strategy includes:

[0073] The following operations are synchronously executed:

[0074] Operation 1: activate the real-time recording function of all cameras in the reagent refrigerator, and the recording range covers the sample entrance and exit and the panoramic view of the specimen cabinet main body.

[0075] Operation 2: send encrypted alarm information containing intrusion coordinates, time stamp and device locking state to the management terminal.

[0076] Operation 3: cut off the driving power supply of the three-axis moving assembly and the tube picking mechanical arm, and only keep the power supply of the environmental adjustment device;

[0077] The second event includes an unauthorized access or sample misplacement event identified by the operation behavior tracing module.

[0078] The second event response strategy includes:

[0079] Before the shovel disc mechanism moves the sample carrier to the target position, the matching degree of the sample label and the storage column code is verified again through the scanning mechanism;

[0080] When the verification fails, control the three-axis moving assembly to move the sample carrier to the isolated temporary storage area, and mark a red warning symbol in the three-dimensional model.

[0081] Further, the sample state association module comprises:

[0082] The state data association unit is configured to:

[0083] Real-time receive the historical change curve of temperature and humidity, gas concentration of each storage column output by the environment parameter monitoring module, and synchronously acquire the sample access frequency, operation time length and mechanical operation trajectory data recorded by the operation behavior tracing module;

[0084] Call the three-dimensional model coordinate system of the three-dimensional construction module, associate the environment parameter change curve and the sample operation data of the corresponding storage column according to the spatial coordinates, and form a four-dimensional association data set containing time dimension, spatial coordinates, environment parameters and operation behaviors;

[0085] Identify the time sequence correlation degree of the environment parameter change and the sample operation behavior in the four-dimensional association data set through a trend extraction algorithm, and mark the event combination whose time sequence correlation degree exceeds a preset threshold;

[0086] The implicit risk identification unit is configured to:

[0087] The preset sample state influence factor matrix comprises sensitivity coefficients of different types of samples to environmental fluctuations, operation frequency thresholds and environmental parameter cumulative change tolerances;

[0088] Based on the four-dimensional association data set, the sample state influence factor matrix is combined to calculate the comprehensive influence value of the samples in each storage column on the environmental fluctuations and operation interference;

[0089] When the comprehensive influence value exceeds the preset safety threshold of the corresponding sample, it is determined that there is an implicit risk, wherein the implicit risk is a non-direct threshold value risk including sample activity decline caused by accumulation of small environmental fluctuations and local environmental instability caused by frequent operation;

[0090] Generate an implicit risk assessment report containing the risk storage column coordinates, associated operation records and environmental parameter change trends;

[0091] The intervention guidance unit is configured to:

[0092] After receiving the implicit risk assessment report, automatically start targeted intervention measures, and the targeted intervention measures comprise:

[0093] In combination with the intelligent transfer scheduling module, generate a sample optimization storage suggestion, and the sample optimization storage suggestion comprises transferring high sensitivity samples to storage columns with smaller environmental fluctuations and adjusting the centralized storage of similar samples to reduce cross interference;

[0094] The operation prompt rule is sent to the operation behavior tracing module, and the current state prompt of the environmental parameter and the operation time limit are added to the operation related to the high-risk storage column;

[0095] The storage columns of different risk levels are marked in the three-dimensional model by the three-dimensional construction module in a gradient color, and the key environmental parameters causing the risk and the operation record are associated and displayed;

[0096] The environmental parameters and operation data of the sample area after intervention are continuously tracked, and when the comprehensive influence value returns to the preset safety threshold range, the targeted intervention measures are automatically removed.

[0097] Compared with the prior art, the beneficial effects of the present application are:

[0098] 1. The present application realizes the all-round control of the running state of the sample cabinet by constructing a full-dimensional monitoring system including environmental parameter monitoring, safety protection monitoring and three-dimensional construction, guarantees the stability of the sample storage environment through multi-source collection and adaptive adjustment, avoids sample failure caused by fluctuations in temperature and humidity and the like, effectively prevents risks caused by unauthorized intrusion and equipment abnormalities through three-dimensional security and emergency braking, and enables the management personnel to intuitively master the cabinet state through visual display, forms a closed-loop management from the environment to the equipment, significantly improves the safety and refinement of sample management, and reduces the operation and maintenance cost.

[0099] 2. The present application integrates sample information, operation subject and mechanical track data through the full-process data acquisition unit, identifies irregular behaviors in combination with the operation compliance verification unit, realizes the full-chain traceability of sample operation, standardizes the behavior of the operation personnel, reduces unauthorized access and sample misplacement problems, provides a reliable basis for sample quality traceability, can quickly locate the flow path of the problem sample in the scientific research or medical scene, enhances the credibility of sample management, and at the same time provides strong support for quality management system certification, meets the strict requirements of sample management in high-standard scenes.

[0100] 3. Beyond the limitations of traditional single-point threshold alarm, the discrete environmental parameters are converted into comprehensive prediction of sample damage potential, which not only accurately captures instantaneous abnormal fluctuations (such as temperature sudden rise caused by refrigeration failure), but also identifies long-term chronic deviation (such as slow humidity exceeding), drives the management personnel to intervene in high-risk areas first, combines three-dimensional visualization to quickly locate the samples needing rescue, significantly reduces the batch failure probability; at the same time, the accumulated risk data provides a basis for optimizing the storage strategy (such as adjusting the sensor layout or weight distribution), forming a closed-loop optimization from risk early warning to strategy iteration.

[0101] 4. Precise handling of security response is realized through event classification: the first-level event takes physical isolation and evidence preservation as the core to maximize the containment of malignant security threats; the second-level event takes process correction and local blocking as the focus to eliminate the spread risk of human errors while maintaining the continuity of operation. Encryption alarm, three-dimensional warning and operation log further constitute a complete traceability evidence chain, providing data support for event backtracking and system optimization, and finally realizing the deep balance of safety control and operation efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0102] Figure 1 It is a specimen cabinet main body position schematic diagram of the present application;

[0103] Figure 2 It is a sample inlet and outlet schematic diagram of the present application;

[0104] Figure 3 It is a specimen cabinet main body structure schematic diagram of the present application;

[0105] Figure 4 It is a specimen cabinet main body side view schematic diagram of the present application;

[0106] Figure 5 It is a full-dimensional monitoring system module schematic diagram of the present application.

[0107] In the figure: 1, specimen cabinet main body;2, reagent refrigerator;3, sample inlet and outlet;4, sample holder;5, three-axis moving assembly;6, shovel disc mechanism;7, longitudinal partition;8, storage column. DETAILED DESCRIPTION

[0108] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0109] Please refer to Figures 1-5 The present application provides the following technical solutions:

[0110] The full-dimensional monitoring system of the intelligent specimen cabinet is arranged in the intelligent specimen cabinet, receives a sample access instruction, generates a moving path based on a target access position, and performs access movement on the target access position.

[0111] The full-dimension monitoring system periodically collects environmental data in the intelligent specimen cabinet, the environmental data being temperature and humidity measured values corresponding to each position in the intelligent specimen cabinet, and monitors the storage environment inside the intelligent specimen cabinet, and calculates in real time a sample risk value corresponding to the risk degree of failure of each position where a sample is placed, identifies a high-risk area of sample failure based on changes in the storage environment, triggers a warning mechanism and dynamically intervenes.

[0112] The full-dimension monitoring system records operation records of accessing samples and checks whether the operation records are compliant, identifies irregular behaviors and hidden risks of samples caused by cumulative environmental fluctuations or operation interference. The intelligent specimen cabinet comprises a specimen cabinet body 1 and a reagent refrigerator 2, the specimen cabinet body 1 is arranged inside the reagent refrigerator 2, a sample access port 3 is formed on the front face of the reagent refrigerator 2, an automatic hatch and a telescopic tray are arranged in the sample access port 3, a sample holder 4 is arranged inside the specimen cabinet body 1, a three-axis moving assembly 5 is arranged on the top of the specimen cabinet body 1, a shovel disc mechanism 6 is arranged on the three-axis moving assembly 5, and a tube picking mechanical arm and a scanning mechanism are arranged in the reagent refrigerator 2 close to the sample access port 3.

[0113] The inside of the specimen cabinet body 1 is provided with a longitudinal partition plate 7, and the inside of the specimen cabinet body 1 is divided into storage columns 8 by the longitudinal partition plate 7, and the sample holder 4 is placed in the storage column 8, the tube picking mechanical arm is integrated with an RFID detection module, and the RFID detection module is used to record sample data when picking tubes.

[0114] In the above embodiment, by arranging the specimen cabinet body 1 inside the reagent refrigerator 2 and adopting a double-body parallel layout, cooperating with the storage column 8 divided by the longitudinal partition plate 7 and the clamping table 9 structure, efficient utilization and classified management of the sample storage space are realized, the sample holder 4 is stably placed through the clamping table, which not only facilitates the three-axis moving assembly 5 to drive the shovel disc mechanism 6 to accurately pick and place, but also avoids shaking or deviation of the sample during storage, the automatic hatch and the telescopic tray of the sample access port 3 are designed, and the tube picking mechanical arm and the scanning mechanism are cooperated to work, which breaks the limitation of manual storage and access of the traditional specimen cabinet, reduces direct contact of manual operation and the low-temperature environment, reduces the sample pollution risk, and improves the convenience and accuracy of sample storage and access, and the integration of the full-dimension monitoring system forms a closed-loop management from mechanical execution to environmental monitoring, which provides an intelligent and automatic overall solution for sample storage.

[0115] The full-dimension monitoring system is applied to the full-dimension monitoring system of the intelligent specimen cabinet, and comprises:

[0116] The intelligent transfer scheduling module is configured to:

[0117] After receiving a user sample access instruction, an optimal moving path is generated by acquiring a target position coordinate, and the sample at the target position is moved based on the optimal moving path.

[0118] The environmental parameter monitoring module is configured to:

[0119] Collecting environmental data at a preset sampling period, comparing the environmental data with a preset threshold range, triggering a warning mechanism when the environmental data deviates from the preset threshold range, and starting the environmental regulation device for dynamic intervention;

[0120] The safety protection monitoring module is configured to:

[0121] Real-time monitoring of whether there is an unauthorized object entering the inside of the reagent refrigerator 2 and the sample access 3;

[0122] The operation behavior tracing module is configured to:

[0123] Generating an operation record containing time, location, operation object and execution result, and performing compliance verification on the operation record through a rule engine to identify irregular behavior;

[0124] The three-dimensional construction module is configured to:

[0125] Constructing a three-dimensional model of the specimen cabinet body 1 through three-dimensional modeling, and visualizing the internal structure, specimen distribution and environmental parameters of the specimen cabinet body 1 based on the three-dimensional model;

[0126] The sample state association module is configured to:

[0127] Real-time association of environmental parameters and sample operation data to form a four-dimensional data set, identification of implicit risks generated by cumulative environmental fluctuations and operation interference of samples, and initiation of targeted intervention measures.

[0128] In the above embodiment, the full-dimensional monitoring system realizes intelligent control of the whole process of the intelligent specimen cabinet from sample access to environmental maintenance through the cooperation of the modules. The cooperation of the mechanical linkage control module and the intelligent transfer scheduling module makes the sample access process without human intervention in the cabinet interior, not only improving the operation efficiency, but also avoiding sample damage or confusion caused by human factors. The environmental parameter monitoring module controls the cabinet environment in real time to ensure that the sample is in the best storage condition. The safety protection monitoring module provides multiple security guarantees for the equipment and samples through three-dimensional security and emergency braking mechanism. The operation behavior tracing module realizes the traceability of each operation, and the three-dimensional construction module visualizes the cabinet state, significantly improves the fine degree of sample management, reduces the management cost, and is especially suitable for efficient operation and maintenance of large-scale sample libraries.

[0129] The environmental parameter monitoring module comprises:

[0130] The multi-source data acquisition unit is configured to:

[0131] The temperature and humidity sensor group, the gas concentration detector array and the air pressure sensor arranged in different regions inside the reagent refrigerator 2 synchronously collect environmental data at a preset sampling period, cache the collected environmental data and generate an environmental parameter original data set;

[0132] The dynamic threshold early warning unit is configured to:

[0133] The preset environmental parameter threshold matrix is called, and the environmental parameter threshold matrix includes upper and lower limit values of temperature and humidity and a gas concentration safety threshold of different storage regions.

[0134] The environmental parameter original data set is compared with the environmental parameter threshold matrix point by point, and the parameter deviation is obtained by a deviation calculation algorithm.

[0135] When the deviation exceeds a preset threshold, the early warning mechanism and the adjustment signal are triggered according to the deviation, the abnormal information is recorded, the sound and light alarm device is started, the early warning signal is synchronously sent to the management terminal, and the three-dimensional coordinates of the abnormal region are marked.

[0136] The environmental self-adaptive adjustment unit is configured to:

[0137] After receiving the adjustment signal, the environmental adjustment equipment of the corresponding region is started.

[0138] The temperature adjustment is realized by the cooperation of the compressor refrigeration module and the heating wire assembly, the output power is automatically adjusted according to the temperature difference value; the humidity adjustment is realized by the dehumidification fan and the humidification atomizer, and the running time is adjusted according to the humidity deviation.

[0139] During the adjustment process, the environmental parameter changes are collected in real time until the environmental data returns to the threshold range, and the adjustment equipment is automatically stopped and the adjustment curve is recorded.

[0140] In the above embodiment, through the cooperation of multi-source data collection, dynamic threshold early warning and environmental self-adaptive adjustment unit, a precise and efficient environmental management and control system is constructed, the sensor array distributed in a matrix form can fully capture the temperature and humidity, gas concentration and air pressure changes in different regions of the reagent refrigerator 2, ensuring that there is no dead angle in data collection, through the preset threshold matrix and deviation calculation algorithm, the environmental abnormalities can be quickly identified and graded early warning, which saves the processing time for the management personnel, through the cooperation of the refrigeration, heating, dehumidification and humidification equipment, the dynamic balance of the environmental parameters is realized, the sample failure caused by environmental fluctuations is avoided, not only the stability of sample storage is ensured, but also the manual intervention is reduced through automatic adjustment, the energy consumption is reduced, and the abnormal record and adjustment curve provide data support for subsequent optimization of environmental management and control strategy.

[0141] The safety protection monitoring module comprises:

[0142] The multi-modal intrusion detection unit is configured to:

[0143] The temperature field distribution image is captured in real time by an infrared thermal imaging sensor array deployed inside the reagent refrigerator 2, and a three-dimensional profile data is generated by a laser profile scanner integrated in the sample access port 3;

[0144] The temperature field distribution image is compared with a preset ambient temperature field reference model to identify an abnormally high temperature area;

[0145] The three-dimensional profile data generated by the laser profile scanner is feature-extracted and matched with a three-dimensional feature library of authorized objects, and when the matching degree is lower than a preset threshold, it is determined that there is an unauthorized object;

[0146] The abnormally high temperature area coordinates are associated with the unauthorized object identification result to generate an intrusion detection preliminary report;

[0147] The dynamic protection response unit is configured to:

[0148] Receive the intrusion detection preliminary report and call a preset risk level assessment model;

[0149] The risk level assessment model calculates an intrusion risk coefficient based on the volume parameter, motion speed and distance parameter from the sample of the intruding object;

[0150] When the risk coefficient is in a low risk interval, an electromagnetic locking device of the sample access port 3 is started, and a sound-light alarm of a local area is activated;

[0151] When the risk coefficient is in a high risk interval, in addition to performing the low risk response measure, the main power supply circuit of the reagent refrigerator 2 is cut off on the basis of reserving power supply for the monitoring system, a standby mode of the inert gas fire extinguishing device is started, and an emergency alarm signal containing a real-time video stream is sent to a security terminal;

[0152] During the protection response process, the position coordinates of the intruding object are updated in real time;

[0153] The intrusion trajectory tracing unit is configured to:

[0154] The motion video stream of the unauthorized object is collected by a multi-view camera array distributed inside the specimen cabinet main body 1;

[0155] Based on the frame image sequence in the video stream, a motion target tracking algorithm is used to extract the motion trajectory parameters of the unauthorized object, including displacement vector, turning angle and motion acceleration;

[0156] The motion trajectory parameters are mapped with the three-dimensional model inside the specimen cabinet to generate a visualized intrusion path atlas;

[0157] Correlate the timestamp information to build a full trajectory dataset containing the intrusion starting point, passing area, stay duration, and final location.

[0158] In the above embodiment, through the multi-modal intrusion detection unit combining the infrared thermal imaging sensor array and the laser profile scanner, both abnormal high temperature areas (such as equipment failure or external heat source) and unauthorized objects (such as unauthorized tools, personnel limbs, etc.) can be captured, realizing three-dimensional monitoring of the interior of the reagent refrigerator and the sample access, ensuring no dead angle protection, and avoiding sample tampering, theft, or pollution from the source; the dynamic protection response unit calculates the risk coefficient based on the volume, speed, and distance of the intruding object from the sample according to the risk level evaluation model, distinguishes between low-risk and high-risk scenarios, and executes differentiated measures: locking the access and local alarm in low-risk scenarios, cutting off the main power supply, starting the fire extinguishing device on standby, and sending emergency alarms in high-risk scenarios, which can quickly contain the spread of danger and avoid excessive response affecting normal operation of the equipment; the intrusion trajectory tracing unit collects motion video streams through multi-view cameras, extracts the motion trajectory (displacement, turning, acceleration, etc.) of the unauthorized object, and generates a visual path map by mapping with the three-dimensional model, forming a complete trajectory dataset combined with the timestamp, providing solid evidence for tracing the intrusion process and identifying responsibilities, and providing data support for optimizing security strategies.

[0159] The security protection monitoring module provides full-chain security protection from real-time protection to emergency disposal through the closed-loop mechanism of "detection-evaluation-response-tracing", reduces sample failure or data confusion caused by external intrusion, and is especially suitable for medical, scientific research, and other scenarios with extremely high requirements for sample safety, improving the credibility and reliability of sample storage.

[0160] The operation behavior tracing module includes:

[0161] The full-process data acquisition unit is configured to:

[0162] Real-time receive the sample barcode output by the scanning mechanism, and synchronously collect the sample electronic tag data read by the RFID detection module integrated with the tube picking mechanical arm;

[0163] Obtain the identity verification information of the operator, and the identity verification information is an authorized code;

[0164] Collect the real-time coordinate data of the X, Y, and Z axes of the three-axis moving assembly 5 and the action state signal of the shovel disc mechanism 6 to form a mechanical operation trajectory record;

[0165] Integrate the sample barcode, sample electronic tag data, identity verification information, and mechanical operation trajectory record according to the timestamp to build a full-process dataset containing sample information, operation subject, mechanical action, and time node;

[0166] The operation compliance verification unit is configured to:

[0167] The preset operation rule library is called, the operation rule library includes sample authorization access range, mechanical operation path specification, and sample placement corresponding relationship, and the like, the full-process data set is compared with the operation rule library item by item, and a rule violation behavior is identified through logical verification;

[0168] When it is detected that the operation personnel identity information is not in the authorized list or exceeds the authorized operation range, it is determined that the access is unauthorized;

[0169] When the sample actual placement position deviates from the preset storage column 8 coordinate by more than 5 cm, or the sample label information does not match the target storage area, it is determined that the sample is misplaced;

[0170] A verification report including the rule violation type, the rule violation time, the associated sample, and the operation track is generated.

[0171] In the above embodiment, through the cooperation of the full-process data acquisition and the operation compliance verification unit, the full-chain traceability and compliance control of sample operation are realized, the sample identification information, the operation personnel information, and the mechanical action track are integrated according to the time stamp to form a complete operation data set, it is ensured that every sample access has a trace, through comparison with the preset rule library, unauthorized access, sample misplacement and other rule violation behaviors can be automatically identified, operation loopholes can be found in time, the behavior of the operation personnel is standardized, the risk of sample management caused by human error is reduced, and a reliable basis is provided for sample quality traceability. In the scientific research experiment or medical detection scene, the operation record can be used to quickly locate the flow path of the problem sample, and the credibility and responsibility of sample management are improved.

[0172] The environmental parameter monitoring module further includes:

[0173] The sample storage risk early warning unit is configured to:

[0174] The data collected by the temperature and humidity sensor group includes the temperature measured value corresponding to the position of the storage column 8 and the humidity measured value corresponding to the position of the storage column 8.

[0175] Based on the data collected by the temperature and humidity sensor group, a sample risk value representing the failure risk degree of the sample placed in the storage column 8 is calculated in real time by the following formula:

[0176]

[0177] Wherein, is the sample risk value of the storage column 8, is the temperature measured value corresponding to the position of the storage column 8 in the data collected by the temperature and humidity sensor group, a humidity measured value corresponding to the position of the storage column 8 in the data collected by the temperature and humidity sensor group, a preset optimal storage temperature, a preset optimal storage humidity, a preset temperature critical deviation, a preset humidity critical deviation, a cumulative duration when the temperature and humidity of the position of the storage column 8 in history simultaneously exceed the range of [ - , + ] range and [ - , + ] range, a preset time limit, , and a preset weight value;

[0178] When the sample risk value of the storage column 8 exceeds the preset threshold value, it is determined that the sample placed in the storage column 8 has an excessive failure risk degree, and the storage column 8 is marked as a sample failure high-risk area in the three-dimensional model to prewarn the management personnel for corresponding intervention.

[0179] The sample storage risk warning unit dynamically evaluates the sample risk state of the storage column 8 through the above algorithm. This unit collects the temperature ( ) and humidity ( ) measured values of the corresponding position of the storage column in real time, performs deviation calculation with the preset optimal storage parameters ( , ), and introduces the critical deviation threshold ( , ) to perform square term amplification processing on instantaneous fluctuations, significantly enhancing the sensitivity of short-term drastic environmental changes. At the same time, the algorithm superimposes the ratio term of the safety duration when the temperature and humidity of the position in history simultaneously exceed the range ( ) and the preset time limit ( ), quantifies the long-term exposure cumulative risk, and then dynamically adjusts the contribution weight of each factor through the weight coefficient ( , and ) to finally output the quantified sample risk value ( ). When the sample risk value exceeds the set threshold value, the system highlights the storage column as a high-risk area in the three-dimensional model in real time.

[0180] This mechanism goes beyond the limitations of traditional single-point threshold alarms, converting discrete environmental parameters into a comprehensive prediction of sample damage potential. It accurately captures both instantaneous abnormal fluctuations (such as temperature spikes caused by refrigeration failures) and long-term chronic deviations (such as slow humidity exceedance), enabling management personnel to prioritize interventions in high-risk areas and quickly locate samples in need of rescue using three-dimensional visualization, significantly reducing the probability of batch failures. At the same time, the continuous accumulation of risk data provides a basis for optimizing storage strategies (such as adjusting sensor layout or weight distribution), forming a closed-loop optimization from risk warning to strategy iteration.

[0181] The full-dimensional monitoring system of the intelligent specimen cabinet further comprises:

[0182] The multi-level linkage response module is configured to:

[0183] An abnormal event hierarchical response matrix is established, which includes: a first event and its corresponding first event response strategy, and a second event and its corresponding second event response strategy;

[0184] The first event includes an intrusion locking event triggered by the safety protection monitoring module;

[0185] The first event response strategy includes:

[0186] The following operations are synchronously executed:

[0187] Operation 1: activate the real-time recording function of all cameras in the reagent refrigerator 2, and the recording range covers the sample entrance and exit 3 and the panoramic view of the specimen cabinet main body 1;

[0188] Operation 2: send encrypted alarm information containing intrusion coordinates, time stamp and device locking state to the management terminal;

[0189] Operation 3: cut off the driving power supply of the three-axis moving assembly 5 and the tube picking mechanical arm, and only keep the power supply of the environmental adjustment device;

[0190] The second event includes an unauthorized access or sample misplacement event identified by the operation behavior tracing module;

[0191] The second event response strategy includes:

[0192] Before the shovel mechanism 6 moves the sample holder 4 to the target position, the scanning mechanism verifies the matching degree of the sample label and the storage column 8 code again;

[0193] When the verification fails, control the three-axis moving assembly 5 to move the sample holder 4 to the isolated temporary storage area, and mark a red warning symbol in the three-dimensional model.

[0194] The multi-stage linkage response module constructs a hierarchical response matrix based on event severity, achieving precise prevention and control of abnormal scenarios and minimizing operational interference. For the highest risk first-level event (such as intrusion locking triggered by the security protection module), the system synchronously performs three rigid responses: immediately activates all cameras for panoramic recording to fix the evidence chain, sends encrypted alarm information containing intrusion coordinates and timestamps to the management terminal, and cuts off the driving power supply of the three-axis mobile assembly 5 and the pick-up mechanical arm (only environmental equipment power supply is retained), completely blocking the operation path of the intruder through physical isolation; for the second-level event (such as unauthorized access or sample misplacement identified by the operation traceability module), a secondary verification process is started at the key node before the pick-up mechanical arm moves the sample carrier 4 to the target storage column 8, and the matching degree of the label of the sample to be stored and the code of the target storage column 8 is compared through the scanning mechanism. If the verification fails, it is automatically redirected to the isolation staging area, and a red warning mark is marked in the three-dimensional model, preventing the wrong sample from entering the formal storage sequence 8 column to cause cross contamination or management confusion, and avoiding global downtime to affect the normal access of other samples. This mechanism realizes precise handling of security responses through event classification: first-level events focus on physical isolation and evidence preservation to maximize the containment of malicious security threats; second-level events focus on process correction and local blocking to maintain operational continuity while eliminating the risk of human error spreading. Encryption alarm, three-dimensional warning, and operation log further constitute a complete traceability evidence chain, providing data support for event backtracking and system optimization, ultimately achieving a deep balance between safety control and operational efficiency.

[0195] The sample state association module includes:

[0196] The state data association unit is configured to:

[0197] Real-time receive the temperature and humidity, gas concentration historical change curve of each storage column 8 output by the environmental parameter monitoring module, synchronously obtain the sample access frequency, operation time and mechanical operation trajectory data recorded by the operation behavior traceability module;

[0198] Call the three-dimensional model coordinate system of the three-dimensional construction module, associate the environmental parameter change curve and the sample operation data of the corresponding storage column 8 according to the spatial coordinates, and form a four-dimensional association data set containing time dimension, spatial coordinates, environmental parameters and operation behavior;

[0199] Identify the time sequence correlation degree of environmental parameter changes and sample operation behavior in the four-dimensional association data set through a trend extraction algorithm, and mark event combinations with time sequence correlation degree exceeding a preset threshold;

[0200] The implicit risk identification unit is configured to:

[0201] a preset sample state influence factor matrix, the sample state influence factor matrix including sensitivity coefficients of different types of samples to environmental fluctuations, operation frequency threshold values, and environmental parameter cumulative change tolerances;

[0202] Based on the four-dimensional correlation data set, combined with the sample state influence factor matrix, the comprehensive influence value of samples in each storage column 8 on environmental fluctuations and operation interference is calculated;

[0203] When the comprehensive influence value exceeds the preset safety threshold value of the corresponding sample, it is determined that there is an implicit risk, wherein the implicit risk is a non-direct threshold value risk including sample activity decline caused by accumulation of small fluctuations of environmental parameters and local environmental instability caused by frequent operations;

[0204] An implicit risk assessment report is generated, including the risk storage column coordinates, the associated operation records, and the environmental parameter change trend;

[0205] An intervention guiding unit is configured to:

[0206] After receiving the implicit risk assessment report, the automatic start of targeted intervention measures is started, and the targeted intervention measures include:

[0207] Combined with the intelligent transfer scheduling module, sample optimization storage suggestions are generated, including transferring high sensitivity samples to storage columns 8 with smaller environmental fluctuations, and adjusting the storage of similar samples to reduce cross interference;

[0208] Operation prompt rules are sent to the operation behavior tracing module, and the current state of the environmental parameters is prompted and the operation time limit is increased for operations involving high-risk storage columns 8;

[0209] Through the three-dimensional construction module, the storage columns 8 of different risk levels are marked with gradient colors in the three-dimensional model, and the key environmental parameters and operation records that cause the risk are associated and displayed;

[0210] The environmental parameters and operation data of the sample area after intervention are continuously tracked, and when the comprehensive influence value returns to the preset safety threshold value range, the targeted intervention measures are automatically removed.

[0211] In the above embodiment, the state data association unit associates the historical change curve of the environmental parameter with the sample operation data (access frequency, time length, mechanical trajectory) according to the spatial coordinates and time dimension, forms a four-dimensional data set containing time, space, environment and operation, breaks through the limitation of single data dimension, and can more comprehensively analyze the reasons for the sample state being affected; the implicit risk identification unit combines the sample state influence factor matrix (sensitivity coefficient, operation frequency threshold, etc.), calculates the comprehensive influence value of the sample affected by the accumulation of environmental slight fluctuations (such as long-term slight deviation of temperature and humidity) and operation interference (such as frequent access causing local environment instability), accurately identifies the implicit risk (such as sample activity decline) that is not directly over the threshold, and avoids the lag of traditional threshold alarm leading to sample failure; the intervention guidance unit automatically starts the optimization measures according to the implicit risk evaluation report: such as moving high sensitivity samples to an environment more stable area, limiting the operation time length of high risk area, marking the risk level in the three-dimensional model, etc., by actively adjusting the storage strategy and operation specification, the influence of risk on samples is fundamentally reduced, and at the same time, the management personnel is guided to prioritize processing high-risk areas, improving management efficiency.

[0212] The sample state association module automatically removes the intervention after the risk regression safety range, forms a closed loop of "identification-intervention-tracking-optimization", and continuously tracks the environmental parameters and operation data after the intervention. This dynamic management mode not only reduces the loss of samples caused by implicit risks, but also optimizes the storage layout and operation process through accumulated associated data, significantly improves the fine management level of large-scale sample library, and reduces the long-term operation cost.

[0213] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can make equivalent replacement or change according to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A full-dimension monitoring system of an intelligent specimen cabinet, characterized in that, A full-dimensional monitoring system is arranged in the intelligent specimen cabinet, the full-dimensional monitoring system receives a sample access instruction, generates a moving path based on a target access position, and moves the target access; The full-dimensional monitoring system periodically collects environmental data in the intelligent specimen cabinet, the environmental data is a temperature measured value and a humidity measured value corresponding to each position in the intelligent specimen cabinet, and the internal storage environment of the intelligent specimen cabinet is monitored, a sample risk value corresponding to the risk degree of sample failure in each position is calculated in real time, a high-risk area of sample failure is identified based on the change of the storage environment, a warning mechanism is triggered and dynamic intervention is performed. The full-dimensional monitoring system records the operation record of sample access and verifies whether it is compliant, identifies irregular behavior and hidden risks caused by small environmental fluctuations or operation interference; The intelligent specimen cabinet includes a specimen cabinet body (1) and a reagent refrigerator (2), and the inside of the specimen cabinet body (1) is divided into storage columns (8) by a longitudinal partition (7); The full-dimensional monitoring system includes: An environmental parameter monitoring module is configured to: Collect environmental data at a preset sampling period, compare the environmental data with a preset threshold range, trigger a warning mechanism when the environmental data deviates from the preset threshold range, and start an environmental regulation device for dynamic intervention; The environmental parameter monitoring module includes: A multi-source data acquisition unit is configured to: Synchronously collect environmental data at a preset sampling period through a temperature and humidity sensor group, a gas concentration detector array and a barometric pressure sensor arranged in different areas inside the reagent refrigerator (2), cache the collected environmental data and generate an environmental parameter original data set; A sample storage risk early warning unit is configured to: Obtain data collected by the temperature and humidity sensor group; wherein the data collected by the temperature and humidity sensor group includes a temperature measured value corresponding to the position of the storage column (8) and a humidity measured value corresponding to the position of the storage column (8); Based on the data collected by the temperature and humidity sensor group, a sample risk value representing the risk degree of sample failure in the storage column (8) is calculated in real time by the following formula: wherein, is a sample risk value of the storage column (8), is a temperature measured value corresponding to the position of the storage column (8) in the data collected by the temperature and humidity sensor group, is a humidity measured value corresponding to the position of the storage column (8) in the data collected by the temperature and humidity sensor group, is a preset optimal storage temperature, is a preset optimal storage humidity, is a preset temperature critical deviation, is a preset humidity critical deviation, is a cumulative length of time when the temperature and humidity of the position of the storage column (8) in the history each exceed the range of [ - , + ] range and [ - , + ] range, is a preset time limit, , and is a preset weight value; When the sample risk value of the storage column (8) exceeds a preset threshold value, it is determined that the risk degree of sample failure in the storage column (8) exceeds the standard, and the storage column (8) is marked as a high-risk area of sample failure in a three-dimensional model to alert the management personnel for corresponding intervention.

2. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 1, wherein, The specimen cabinet body (1) is arranged inside the reagent refrigerator (2), the front of the reagent refrigerator (2) is provided with a sample access port (3), the automatic hatch and the telescopic tray are arranged in the sample access port (3), and the sample holder (4) is arranged in the storage column (8).

3. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 2, wherein, The full-dimensional monitoring system includes: An intelligent transfer scheduling module is configured to: After receiving a user sample access instruction, the optimal moving path is generated by obtaining the target access position coordinates, and the sample access target is moved based on the optimal moving path; A safety protection monitoring module is configured to: Real-time monitoring whether there is an unauthorized object entering the reagent refrigerator (2) and the sample access port (3); An operation behavior tracing module is configured to: An operation record containing time, location, operation object and execution result is generated, and the operation record is checked for compliance by a rule engine to identify irregular behavior; The three-dimensional modeling module is configured to: A three-dimensional model of the specimen cabinet main body (1) is constructed by three-dimensional modeling, and the internal structure, specimen distribution and environmental parameters of the specimen cabinet main body (1) can be visually displayed based on the three-dimensional model; The sample state association module is configured to: Real-time association of environmental parameters and sample operation data forms a four-dimensional data set, identifies the hidden risks of samples caused by small environmental fluctuations and operation interference, and initiates targeted intervention measures.

4. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 3, wherein, The environmental parameter monitoring module further comprises: The dynamic threshold warning unit is configured to: Call the preset environmental parameter threshold matrix, which contains the upper and lower limit values of temperature and humidity and the gas concentration safety threshold of different storage areas; The environmental parameter raw data set is compared with the environmental parameter threshold matrix point by point, and the parameter deviation is obtained by a deviation calculation algorithm; When the deviation exceeds the preset threshold, the warning mechanism and the adjustment signal are triggered according to the deviation, the abnormal information is recorded and the audible and visual alarm device is started, the warning signal is sent to the management terminal synchronously, and the three-dimensional coordinates of the abnormal area are marked; The environmental self-adaptive adjustment unit is configured to: After receiving the adjustment signal, the environmental adjustment equipment of the corresponding area is started; The temperature adjustment is realized by the cooperation of the compressor refrigeration module and the heating wire assembly, and the output power is automatically adjusted according to the temperature difference; the humidity adjustment is realized by the dehumidification fan and the humidification atomizer to achieve bidirectional control, and the running time is adjusted according to the humidity deviation; The environmental parameter changes are collected in real time during the adjustment process until the environmental data returns to the threshold range, and then the adjustment equipment is automatically stopped and the adjustment curve is recorded.

5. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 3, wherein, The safety protection monitoring module comprises: The multi-modal intrusion detection unit is configured to: Real-time capture temperature field distribution images by deploying an infrared thermal imaging sensor array inside the reagent refrigerator (2), and simultaneously start a laser profile scanner integrated in the sample access (3) to generate three-dimensional profile data; Compare the temperature field distribution image with the preset environmental temperature field reference model to identify abnormal high-temperature areas; Extract features from the three-dimensional profile data generated by the laser profile scanner, and match them with the three-dimensional feature library of authorized objects; when the matching degree is lower than the preset threshold, it is determined that there is an unauthorized object; Associate the coordinates of the abnormal high-temperature area with the unauthorized object recognition result to generate an initial intrusion detection report; The dynamic protection response unit is configured to: Receive the initial intrusion detection report and call the preset risk level assessment model; The risk level assessment model calculates the intrusion risk coefficient based on the volume parameter, motion speed and distance parameter of the intruding object relative to the sample; When the risk coefficient is in the low risk interval, the electromagnetic locking device of the sample access (3) is started, and the audible and visual alarm in the local area is activated; When the risk coefficient is in the high risk interval, in addition to the low risk response measures, the main power supply circuit of the reagent refrigerator (2) is cut off synchronously on the basis of reserving power supply for the monitoring system, the standby mode of the inert gas fire extinguishing device is started, and an emergency alarm signal containing real-time video stream is sent to the security terminal. In the protection response process, the position coordinates of the intruding object are updated in real time; The intruding trajectory tracing unit is configured to: Collect the motion video stream of the unauthorized object through the multi-view camera array distributed inside the specimen cabinet main body (1); Based on the frame image sequence in the video stream, the motion trajectory parameters of the unauthorized object are extracted using a motion target tracking algorithm, including displacement vector, turning angle and motion acceleration; Map the motion trajectory parameters with the three-dimensional model inside the specimen cabinet to generate a visual intrusion path atlas; Associate the time stamp information to build a full trajectory data set containing the intrusion starting point, passing area, residence time and final position.

6. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 3, wherein, The top of the specimen cabinet main body (1) is provided with a three-axis moving assembly (5), and the three-axis moving assembly (5) is provided with a shovel disc mechanism (6). The reagent refrigerator (2) is provided with a tube picking mechanical arm and a scanning mechanism near the sample access (3).

7. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 6, wherein, The operation behavior tracing module comprises: The full-process data acquisition unit is configured to: Real-time receive the sample barcode output by the scanning mechanism, and synchronously acquire the sample electronic tag data read by the RFID detection module integrated with the tube picking mechanical arm; Obtain the identity verification information of the operator, which is an authorized code; Acquire the X, Y and Z axis real-time coordinate data of the three-axis moving assembly (5) and the action state signal of the shovel disc mechanism (6) to form a mechanical operation trajectory record; Integrate the sample barcode, sample electronic tag data, identity verification information and mechanical operation trajectory record according to the time stamp to build a full-process data set containing sample information, operation subject, mechanical action and time node; The operation compliance verification unit is configured to: Call a preset operation rule library, which contains sample authorized access range, mechanical operation path specification and sample placement corresponding relationship verification criteria, and compare the full-process data set with the operation rule library item by item to identify irregular behaviors through logical verification; When the operator's identity information is not in the authorized list or exceeds the authorized operation range, it is determined as unauthorized access; When the actual sample placement position deviates from the preset storage column (8) coordinate by more than 5 cm, or the sample label information does not match the target storage area, it is determined as sample misplacement; Generate a verification report containing the type of violation, the time of violation, the associated sample and the operation trajectory.

8. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 3, wherein, Further comprising: The multi-stage linkage response module is configured to: Establish an abnormal event grading response matrix, which contains first-level events and their corresponding first event response strategies, and second-level events and their corresponding second event response strategies; The first-level events include intrusion locking events triggered by the security protection monitoring module; The first event response strategy includes: Synchronously perform the following operations: Operation 1: activate the real-time recording function of all cameras in the reagent refrigerator (2), and the recording range covers the sample access (3) and the panorama of the specimen cabinet main body (1); Operation 2: send encrypted alarm information containing intrusion coordinates, time stamp and device locking state to the management terminal; Operation 3: cut off the driving power supply of the three-axis moving assembly (5) and the tube picking mechanical arm, and only keep the power supply of the environmental regulation device; The secondary event includes: unauthorized access or sample misplacement event identified by the operation behavior tracing module; The second event response strategy includes: Before the shovel mechanism (6) moves the sample carrier (4) to the target position, the matching degree of the sample label and the storage column (8) code is verified again by the scanning mechanism; When the verification fails, the three-axis moving assembly (5) is controlled to move the sample carrier (4) to the isolated temporary storage area, and a red warning mark is marked in the three-dimensional model.

9. The intelligent specimen cabinet's full dimension monitoring system as claimed in claim 3, wherein, The sample state association module includes: The state data association unit is configured to: Real-time receive the temperature and humidity, gas concentration historical change curve of each storage column (8) output by the environmental parameter monitoring module, and synchronously acquire the sample access frequency, operation time and mechanical operation trajectory data recorded by the operation behavior tracing module; Call the three-dimensional model coordinate system of the three-dimensional construction module, associate the environmental parameter change curve and the sample operation data of the corresponding storage column (8) according to the spatial coordinates, and form a four-dimensional association data set containing time dimension, spatial coordinates, environmental parameters and operation behavior; Identify the time sequence correlation degree of environmental parameter change and sample operation behavior in the four-dimensional association data set through a trend extraction algorithm, and mark the event combination whose time sequence correlation degree exceeds the preset threshold; The implicit risk identification unit is configured to: The preset sample state influence factor matrix includes the sensitivity coefficient of different types of samples to environmental fluctuations, the operation frequency threshold and the environmental parameter cumulative change tolerance; Based on the four-dimensional association data set, the sample state influence factor matrix is combined to calculate the comprehensive influence value of the samples in each storage column (8) affected by environmental fluctuations and operation interference; When the comprehensive influence value exceeds the preset safety threshold of the corresponding sample, it is determined that there is an implicit risk, wherein the implicit risk is a non-direct threshold value risk including sample activity decline caused by accumulation of small fluctuations in environmental parameters and local environmental instability caused by frequent operation; Generate an implicit risk assessment report containing risk storage column coordinates, associated operation records and environmental parameter change trend; The intervention guidance unit is configured to: After receiving the implicit risk assessment report, automatically start the targeted intervention measures, which include: Combine the intelligent moving scheduling module to generate sample optimization storage suggestions; Send operation prompt rules to the operation behavior tracing module, and increase the current state prompt of environmental parameters and operation time limit for operations involving high-risk storage columns (8); Mark the storage columns (8) of different risk levels with gradient colors in the three-dimensional model through the three-dimensional construction module, and associate and display the key environmental parameters and operation records that cause the risk; Continuously track the environmental parameters and operation data of the sample area after intervention, and automatically remove the targeted intervention measures when the comprehensive influence value returns to the preset safety threshold range.

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