Reagent storage environment control system for multi-classification kit and kit

Abstract

The present application relates to the field of reagent environment control, and particularly relates to a reagent storage environment control system for multi-classification reagent kits and a reagent kit, the control system comprising an initial-to-bin module, an environment pre-adjustment module, an opening and closing management module, a door closing recovery module, an execution action module and a database, and is matched with the classification information of the reagent kit in the database through a scanning mode, automatically outputs a reagent cabinet number and generates an opening cabinet signal, and constructs an internal and external environment difference vector, combines a digital twin model to simulate a candidate control strategy, and outputs an optimal control parameter vector through a comprehensive cost function to select the optimal output, realizes intelligent pre-adjustment of the internal environment of the cabinet before opening the door, and combines periodical convergence verification and maximum pre-processing time length double constraints to issue an automatic opening door instruction when all the environment parameters are compliant and there is a safety margin, and real-time monitoring of the cabinet door closing state is realized, convergence and fluctuation double determination is completed to realize steady state recovery, a suboptimal event is recorded when the time is up, and an alarm is triggered when the limit is exceeded.

Description

Technical Field

[0001] This invention relates to the field of reagent environmental control, and more particularly to a reagent storage environment control system and reagent kit for multi-class reagent kits. Background Technology

[0002] Currently, multi-class reagent kits are diverse, covering different storage specifications such as refrigerated and room temperature. Various reagents have strict and differentiated safety requirements for storage temperature, humidity, and closed microenvironment. They are widely used in medical testing, biological experiments, biochemical research and development, etc. However, conventional reagent storage cabinets are mostly fixed temperature and humidity control modes, which have many technical shortcomings.

[0003] First, the equipment lacks the ability to automatically identify reagents and intelligently match them into compartments, relying heavily on manual sorting and manual selection of cabinets for storage. This can easily lead to problems such as misclassification and misuse of cabinets, resulting in chaotic management and low work efficiency. Secondly, when the cabinet door is opened and closed for reagent storage and retrieval, the temperature, humidity and airflow inside and outside the cabinet are directly exchanged, which can easily cause severe environmental shocks. Conventional systems do not perform environmental pre-conditioning before opening the door, and cannot quantify the differences between the internal and external environments and potential disturbances. This can easily cause sudden changes in temperature and humidity inside the cabinet, affecting the activity and storage stability of reagent kits, and even causing reagents to fail and be scrapped. In addition, after the cabinet door is closed, the environment is restored at a constant speed in a fixed mode without differentiated control based on the actual parameter deviation level. The control efficiency is low, the convergence speed is slow, and there is no fluctuation stability verification or maximum recovery time constraint. When the timeout fails to meet the standard, there is no suboptimal processing or alarm mechanism, making it difficult to quickly return to standard storage conditions.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a reagent storage environment control system and reagent kits for multi-class reagent kits. This system matches reagent kit classification information in a database via scanning, automatically outputs the reagent cabinet number and generates an opening signal, constructs an internal and external environmental difference vector, and combines a digital twin model to simulate candidate control strategies. The optimal control parameter vector is then output through a comprehensive cost function, enabling intelligent pre-adjustment of the cabinet environment before opening. The system also monitors the cabinet door's closing status in real time, achieving steady-state recovery through a dual judgment of convergence and fluctuation. Timeout compliance events are recorded as suboptimal events, while out-of-bounds anomalies trigger alarms, thus solving the aforementioned problems.

[0006] The objective of this invention can be achieved through the following technical solution: a multi-class reagent kit, comprising a reagent kit body, a main control panel fixedly connected to the front surface of the reagent kit body, multiple storage compartments opened inside the reagent kit body, a movable storage rack slidably connected inside the storage compartments, and storage cabinet doors hinged to the front surface of the reagent kit body in front of each storage compartment.

[0007] The present invention also proposes a reagent storage environment control system for multi-class reagent kits, including an initial chamber matching module, an environment pre-conditioning module, a switch management module, a door closure recovery module, an execution action module, and a database. The initial matching module is used to match the classification attributes of the reagents to be classified with the stored classification information of the reagent kits, output the reagent cabinet number and generate an open cabinet signal; When an opening signal is generated, the environmental preconditioning module is used to construct a single-parameter safety range and perform instruction matching analysis on the collected external and internal environmental information of the reagent cabinet number, and output the preprocessing decision internal control parameter vector. The switch management module is used to calculate the margin between the current actual parameter values ​​and the safe range of the corresponding single parameter of the reagent. Combined with the preset safety redundancy threshold, it determines whether to trigger the protection mechanism. At the same time, it is accompanied by periodic convergence and preprocessing execution time analysis, and outputs the door opening command or manual opening signal. The door closure recovery module is used to determine whether the cabinet door is in a closed state. If a door closure command is generated, it triggers the environmental recovery processing and evaluation analysis in the storage area to be stored, and outputs an alarm signal, recovery completion, or suboptimal event.

[0008] Preferably, the matching and analysis process between the classification attributes and the stored classification information is as follows: Scan the barcode / QR code of the reagent to be classified, automatically read the classification attributes and required parameters of the reagent to be classified, obtain the stored classification information of the reagent kit, and match the classification attributes of the reagent to be classified with the classification type-reagent cabinet number in combination with the preset classification type-reagent cabinet number, output the reagent cabinet number of the reagent to be classified, and generate an open cabinet signal at the same time.

[0009] Preferably, the single-parameter safe interval construction and instruction matching analysis process is as follows: Real-time collection of external and internal environmental information of reagent cabinets for reagents to be classified, and calculation of the difference vector ΔE between internal and external environments; Set the reagent cabinet number of the reagent to be classified as the storage area, traverse all n reagents in the storage area, read the upper and lower safety limits of the environmental parameters of each reagent, take the maximum value of all lower limits of a single parameter as the effective lower limit of the area, take the minimum value of all upper limits as the effective upper limit of the area, and construct the safety interval of a single parameter.

[0010] Preferably, based on the current ΔE and the single parameter safety range, M candidate strategy vectors are generated. Each candidate strategy, along with the external and internal environmental information of the storage area, is input into a preset digital twin model of the internal environment of the cabinet, and the predicted values ​​of temperature and humidity field and flow field distribution at each point in the cabinet are output. Construct a target comprehensive cost function J, score the prediction results of each candidate strategy, calculate the J value for all candidate strategies, select the strategy with the smallest J value as the preprocessing decision, and execute the control parameter vector within the preprocessing decision as the final instruction output.

[0011] Preferably, the analysis process for the door opening command or manual opening signal is as follows: Calculate the margin between the current actual parameter value and the corresponding reagent single parameter safety range, preset the safety redundancy threshold, and when any margin is less than the safety redundancy threshold, it is determined to have reached the red line and trigger the protection mechanism: switch the control target value to the center value of the safety range, the center value of the safety range = the sum of the maximum and minimum values ​​in the single parameter safety range / 2, and quickly pull the parameter back to the safe position of the center of the safety range.

[0012] Preferably, a control cycle is set, and the deviation of each single parameter at the end of each control cycle is obtained. If the deviation of a single parameter is within the preset allowable error range, the current control cycle is determined to be a qualified deviation convergence. The number of times the deviation convergence is qualified is continuously collected. Combined with the preset periodic convergence threshold, if and only if the number of times the deviation convergence is qualified for all controlled parameters is ≥ the preset periodic convergence threshold, it is determined that the overall preprocessing has reached a stable state and the preprocessing completion event is triggered. Simultaneously, a maximum preprocessing wait time is set. When the preprocessing execution time, starting from the start time, reaches the maximum preprocessing wait time, regardless of whether the above convergence result is satisfied, the following judgment is forcibly entered: Read the actual values ​​of all current parameters and compare them one by one with the corresponding single parameter safety range. If all dimensions are within the corresponding single parameter safety range, the safety check is deemed to have passed, the current parameter value is taken as the suboptimal preprocessing state, and the preprocessing is marked as complete. If any parameter is not within the safe range of the corresponding single parameter, the safety check is deemed to have failed. The control target value is then switched to the center value of the safe range, and the parameter is pulled back to the safe range. When the convergence result meets or has reached the maximum preprocessing waiting time, or the parameters are pulled back to the safe zone, the actual values ​​of the environmental parameters of all parameters in the current cabinet are read and compared with the corresponding single parameter safe zone one by one. If it is confirmed that all parameters are within the corresponding single parameter safe zone and the margin of any parameter from the safe boundary is greater than zero, the door opening command is triggered. If any parameter exceeds the corresponding single parameter safety range, the pretreatment is deemed to have failed. The environment inside the cabinet will be gradually restored to the reagent standard storage setting value, and a manual start signal will be generated.

[0013] Preferably, the environmental restoration and evaluation analysis process within the storage area is as follows: The cabinet door status is continuously monitored by the door control switch of the cabinet door in the storage area to determine whether the cabinet door is closed. If the cabinet door is closed and the duration is greater than the preset duration, the closing event is determined to be established and a closing command is generated. When a door closing command is generated, the closed-loop control cycle begins with a preset fixed control period: S1: Perform an initial deviation assessment on each controlled environment parameter j in the storage area to be stored. Combined with the standard steady-state parameters, obtain the absolute value of the deviation Dj of each controlled environment parameter, and classify each controlled environment parameter into large deviation, medium deviation and small deviation. S2: Retrieve the preset deviation-recovery decision, take the highest value among all the deviation levels of the controlled environment parameters as the comprehensive deviation level, and output the recovery decision based on the matching of the comprehensive deviation level and the preset deviation-recovery decision; S3: Configure the corresponding set of recovery control parameters based on the recovery decision output by the matching; S4: After the decision matching is restored, the controller enters the closed-loop control cycle with a preset fixed control period. Let the cycle counter k be a natural number greater than zero. S5: At the end of each preset fixed control cycle, determine whether the recovery has converged to the target state: For each controlled environment parameter j, the following judgment is made: if the deviation of a single parameter is within the preset allowable convergence recovery error range, then the current control cycle is determined to be deviation convergence recovery; take the parameter value sequence of the current and the previous G preset fixed control cycles, calculate the fluctuation difference between the maximum peak value and the minimum peak value within the window, and if the fluctuation difference is less than the preset stable fluctuation threshold, then the parameter is marked as fluctuation recovery; S6: When all controlled environmental parameters simultaneously meet the requirements of deviation convergence recovery and fluctuation recovery, the recovery is determined to be complete when the increment value of the counter exceeds the preset value; if any parameter does not meet the requirements, the counter is reset to zero. S7: Set the maximum recovery time. If the closed-loop control cycle execution time has reached the maximum recovery time, the recovery is still not determined to be complete. Then check whether all controlled environment parameters have entered their respective single parameter safe ranges. If all have entered the safe range, the current state is received as suboptimal steady state, the closed-loop control cycle is terminated, the log is recorded and marked as a suboptimal event. If any parameter has not entered the safe range, an alarm signal is triggered.

[0014] The beneficial effects of this invention are as follows: (1) In this invention, the reagent barcode information can be automatically scanned and identified, the reagent classification attributes and corresponding storage cabinet numbers can be matched, and intelligent cabinet sorting can be completed. It is suitable for the classification and storage of various types of reagents such as refrigerated and ordinary reagents, eliminating the problem of manual cabinet sorting and improving the regularity of reagent classification and storage and operation efficiency. Moreover, by collecting environmental parameters such as temperature and humidity inside and outside the cabinet in real time, the environmental difference vector is constructed to quantify the environmental impact of opening the door. Based on the simulation of candidate control strategies using the digital twin model, the optimal pre-processing scheme is selected by combining the comprehensive cost function, and the pre-conditioning of the cabinet environment is completed in advance. This effectively weakens the environmental change caused by the exchange of temperature and humidity airflow when the cabinet door is opened, and protects the storage stability and activity of the reagents.

[0015] (2) The present invention also sets up a parameter margin judgment and safety redundancy protection mechanism, which authorizes automatic door opening only when all environmental parameters meet the standards and a safety margin is left. If the pretreatment is abnormal, the manual authorization mode is switched to avoid the risk of reagent deterioration caused by harsh environment storage from the source. After the cabinet door is closed, the graded recovery control is automatically started. The three types of control strategies, namely normal, accelerated and maximum power, are matched according to the environmental deviation level. The recovery status is evaluated by the dual judgment standard of deviation convergence and fluctuation. The longest recovery time limit is set. If the standard is met, the standard steady state is returned. If the time limit is exceeded, the suboptimal event is recorded according to the rules. If the abnormality is triggered, an alarm is triggered and the management personnel are notified to intervene. Attached Figure Description

[0016] The invention will now be further described with reference to the accompanying drawings; Figure 1 This is a three-dimensional view of the structure of the present invention; Figure 2 This is a flowchart of the system of the present invention; Figure 3 This is a reference diagram for analyzing the cabinet door status of the present invention; Figure 4 This is a reference diagram for the recovery decision analysis of this invention.

[0017] Legend: 1. Main body of the reagent kit; 2. Main control panel; 3. Storage compartment; 4. Mobile storage rack; 5. Storage cabinet door. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments; Example 1: Please refer to Figures 1 to 4 As shown, the present invention is a multi-class reagent kit, including a reagent kit body 1. A main control panel 2 is fixedly connected to the front surface of the reagent kit body 1. Multiple storage compartments 3 are opened inside the reagent kit body 1. A movable storage rack 4 is slidably connected inside the storage compartments 3. Storage cabinet doors 5 are hinged to the front surface of the reagent kit body 1 in front of the storage compartments 3. This invention also proposes a reagent storage environment control system for multi-class reagent kits, including an initial chamber alignment module, an environment preconditioning module, a switch management module, a door closure recovery module, an action execution module, and a database. The initial chamber alignment module and the environment preconditioning module have a one-way communication connection, the database and the initial chamber alignment module have a one-way communication connection, the environment preconditioning module has a one-way communication connection with both the switch management module and the door closure recovery module, the switch management module and the door closure recovery module have a one-way communication connection with both the action execution module, and the door closure recovery module has a one-way communication connection with the database. The initial matching module is used to match the classification attributes of the reagents to be classified with the stored classification information of the reagent kits, output the reagent cabinet number and generate an open cabinet signal, specifically including: Scan the barcode / QR code of the reagent to be classified and automatically read the classification attributes and required parameters of the reagent; Obtain the stored classification information of the reagent kit, including refrigerated, general, etc., and match the classification attribute of the reagent to be classified with the classification type-reagent cabinet number, output the reagent cabinet number of the reagent to be classified, and generate an open cabinet signal at the same time. When an opening signal is generated, the environmental preconditioning module performs single-parameter safety range construction and command matching analysis on the collected external and internal environmental information of the reagent cabinet, and outputs a preprocessing decision internal control parameter vector, specifically including: Real-time collection of external and internal environmental information of reagent cabinets for reagents to be classified, including temperature, humidity, etc. Calculate the difference vector ΔE between the internal and external environments. The difference vector ΔE includes ΔT = external ambient temperature - internal ambient temperature, ΔH = external ambient humidity - internal ambient humidity, etc. This vector is the fundamental driving force for heat / humidity exchange at the moment the door is opened. The larger the magnitude of the vector, the more severe the potential environmental impact. Set the reagent cabinet number of the reagent to be classified as the storage area, traverse all n (n>0) reagents in the storage area, and read the upper and lower limits of environmental parameters of each reagent, including the lower and upper limits of safe temperature, the lower and upper limits of safe humidity, etc. The maximum value among all lower limits of a single parameter is taken as the effective lower limit of the region, and the minimum value among all upper limits is taken as the effective upper limit of the region. This constructs a single-parameter safety range, including temperature safety ranges [TFmin, TFmax], humidity safety ranges [HFmin, HFmax], etc. Based on the current ΔE and the safety range of a single parameter, M (M>0) candidate strategy vectors are generated randomly or according to heuristic rules. Each candidate strategy includes a combination of multiple control parameters such as pre-processing target temperature, pre-processing target humidity, fan speed, and positive pressure level. Each candidate strategy, along with the external and internal environmental information of the storage area, is input into a preset digital twin model of the internal environment of the cabinet. The model outputs the predicted values ​​of temperature, humidity, and flow field distribution at each point inside the cabinet at the moment the door is opened and within t1 (t1>0) seconds after the door is opened if this candidate strategy is executed. Construct a comprehensive cost function J to score the prediction results for each candidate strategy: The target comprehensive cost function J = w1 × instantaneous exchange flux at the moment of door opening + w2 × preprocessing energy consumption + w3 × predicted recovery time, where w1, w2 and w3 are all preset weight coefficients greater than zero, and the instantaneous exchange flux at the moment of door opening, preprocessing energy consumption and predicted recovery time are all normalized values. Calculate the J value for all candidate strategies, select the strategy with the smallest J value (i.e. the overall optimal strategy) as the preprocessing decision, and execute the control parameter vector within the preprocessing decision as the final instruction output.

[0020] The action execution module is used to respond to the control parameter vector and execute it immediately in order to pre-adjust the environment of the storage area in advance.

[0021] Example 2: The switch management module calculates the margin between the current actual parameter values ​​and the safe range of the corresponding single parameter of the reagent. Combined with a preset safety redundancy threshold, it determines whether to trigger the protection mechanism. Simultaneously, it analyzes the periodic convergence and preprocessing execution time, and outputs an opening command or manual opening signal, specifically including: Calculate the margin between the current actual parameter values ​​and the corresponding reagent single parameter safety range: temperature margin from the upper limit, temperature margin from the lower limit, humidity margin from the upper limit, humidity margin from the lower limit, etc. A preset safety redundancy threshold is set. When any margin is less than the safety redundancy threshold, it is determined that the red line has been reached and the protection mechanism is triggered. That is, a "freeze" command is immediately sent to all devices that are performing offset adjustment, and the control target value is switched to the center value of the safety interval. The center value of the safety interval = the sum of the maximum and minimum values ​​in the safety interval of a single parameter / 2, and the parameter is quickly pulled back to the safe position in the center of the safety interval. For example: if the temperature rises to the upper safety limit - immediately shut down the heating element and maintain the current state of the cooling module; if the humidity rises to the upper safety limit - immediately shut down the humidification module; if it falls to the lower safety limit - then perform a reverse emergency shutdown. Set the control cycle, obtain the deviation of each single parameter at the end of each control cycle, and if the deviation of a single parameter is within the preset allowable error range, then the current control cycle is determined to be a qualified deviation convergence. The number of times the deviation convergence is qualified is continuously collected. Combined with the preset periodic convergence threshold, if and only if the number of times the deviation convergence is qualified for all controlled parameters is ≥ the preset periodic convergence threshold, it is determined that the overall preprocessing has reached a stable state and the preprocessing completion event is triggered. Simultaneously, a maximum preprocessing waiting time is set. When the preprocessing execution time, starting from the start time, reaches the maximum preprocessing waiting time, regardless of whether the above convergence result is satisfied, the system will forcibly enter the following judgment: Read the actual values ​​of all current parameters and compare them one by one with the corresponding single parameter safety range. If all dimensions are within the corresponding single parameter safety range, the safety check is considered to have passed. The current parameter value is taken as the suboptimal preprocessing state, and "Preprocessing terminated due to timeout, but safety check passed" is recorded, marking the preprocessing as complete. If any parameter is not within the safe range of the corresponding single parameter, the safety check is deemed to have failed. The control target value is then switched to the center value of the safe range, and the parameter is pulled back to the safe range. When the convergence result meets or has reached the maximum preprocessing waiting time, or the parameters are pulled back to the safe zone, the actual values ​​of the environmental parameters of all parameters in the current cabinet are read and compared with the corresponding single parameter safe zone one by one. If it is confirmed that all parameters are within the corresponding single parameter safe zone and the margin of any parameter from the safe boundary is greater than zero (for cases where protection has been triggered, it is confirmed that the parameters have returned to the central safe zone), then the door opening command is triggered. If any parameter exceeds the safe range of the corresponding single parameter, the pretreatment is deemed to have failed. The environment inside the cabinet will be gradually restored to the reagent standard storage setting value, and a manual start signal will be generated at the same time. The action execution module is used to respond to the door opening command or manual opening signal and immediately perform the preset action corresponding to the door opening command or manual opening signal. The preset action corresponding to the door opening command is: automatic door opening. The preset action corresponding to the manual opening signal is: display "manually authorized door opening", so that the management personnel can make reasonable access processing according to the current access conditions, so as to reduce the impact of internal and external environmental shocks on reagents during the reagent access process. The door closure recovery module is used to determine whether the cabinet door is in a closed state. If a door closing command is generated, it triggers the environmental recovery processing and evaluation analysis within the storage area, outputting an alarm signal, recovery completion, or suboptimal event, specifically including: The cabinet door status is continuously monitored by the door control switch (such as a reed switch or a Hall sensor) on the cabinet door of the storage area. It is determined whether the cabinet door is closed. If the cabinet door is closed and the duration is greater than the preset duration, the closing event is determined to be established and a closing command is generated. When a door closing command is generated: The actual environmental parameter set Yj (such as actual temperature value, actual humidity value, etc., where j is a natural number greater than zero and j represents a parameter) in the current storage area is collected from each sensor and used as the starting point for recovery control; Simultaneously, the standard steady-state parameters within the storage area are acquired, and the initial deviation Pj of each environmental parameter within the current storage area is calculated. This deviation retains sign information: a positive value indicates that the current value is lower than the standard steady-state value, and a negative value indicates that the current value is higher than the standard steady-state value. The sign direction directly determines the action direction of the recovery control (heating or cooling, humidifying or dehumidifying, pressurizing or depressurizing). Based on the safety range of each single parameter of the reagent in the storage area, the preset set of recovery control parameters is retrieved from the database, including the maximum allowable recovery power, the preset allowable convergence recovery error range, and the stability fluctuation threshold. Entering the closed-loop control cycle with a preset fixed control period: S1: Perform an initial deviation assessment on each controlled environment parameter j in the storage area to be stored. Combined with the standard steady-state parameters, obtain the absolute deviation value Dj of each controlled environment parameter. Classify each controlled environment parameter as follows: if the absolute deviation value Dj > the preset Dmax, it is judged as a large deviation; if the absolute deviation value Dj ∈ the preset [Dmin, Dmax], it is judged as a medium deviation; if the absolute deviation value Dj < the preset Dmin, it is judged as a small deviation. S2: Retrieve the preset deviation-recovery decision, take the highest value among all the deviation levels of the controlled environment parameters as the comprehensive deviation level, and output the recovery decision based on the matching of the comprehensive deviation level and the preset deviation-recovery decision. The recovery decision includes normal recovery, accelerated recovery and maximum power recovery. S3: Configure the corresponding set of recovery control parameters based on the recovery decision output by the matching; For example: if the recovery decision is conventional recovery: gain coefficient β=1.0, power limit is 80% of rated power, and control algorithm is standard PID control; If the recovery decision is accelerated recovery: gain coefficient β = 1.5-1.8, power limit is 90% of rated power, and the control algorithm is high-gain PID control superimposed with inertial feedforward compensation; If the recovery decision is maximum power recovery: the power limit is 100%-120% of the rated power, the control algorithm is Bang-Bang switch control, the buffer band threshold δ_bb is set, and when the deviation enters the buffer band, it switches to PID control for precise approximation; S4: After the decision matching is restored, the controller enters the closed-loop control cycle with a preset fixed control period. Let the cycle counter k be a natural number greater than zero. Based on the control algorithm corresponding to the configured recovery decision, the power adjustment amount of each execution device is calculated. After processing by safety constraints (power limiting, rate of change limiting, and safety boundary prediction protection), the control command is output to each execution device. S5: At the end of each preset fixed control cycle, determine whether the recovery has converged to the target state: For each controlled environment parameter j, the following judgment is made: if the deviation of a single parameter is within the preset allowable convergence recovery error range, then the current control cycle is determined to be a deviation convergence recovery cycle. Take the parameter value sequence of the current and the previous G (G>0) preset fixed control cycles, calculate the fluctuation difference between the maximum peak and the minimum peak within the window, and if the fluctuation difference is less than the preset stable fluctuation threshold, the parameter is marked as fluctuation recovery; S6: When all controlled environmental parameters simultaneously meet the requirements of deviation convergence recovery and fluctuation recovery, the continuous stability counter increments. If any parameter fails to meet the requirements, the counter is reset to zero. When the increment value of the counter exceeds the preset value, the recovery is determined to be complete. S7: Set the maximum recovery time. If the closed-loop control cycle execution time has reached the maximum recovery time, the recovery is still not determined to be complete. Then check whether all controlled environment parameters have entered their respective single parameter safe range. If all have entered the safe range, the current state is received as suboptimal steady state, the closed-loop control cycle is terminated, the log is recorded and marked as a suboptimal event, and the suboptimal event is sent to the database for storage. If any parameter still fails to enter the safe range, an alarm signal is triggered. The action module responds to the alarm signal and immediately performs the preset warning operation corresponding to the alarm signal, such as continuing to restore at the maximum allowable recovery power, and notifying the management personnel to intervene through the human-machine interface. In summary, the system can automatically scan and identify reagent barcode information, match reagent classification attributes with corresponding storage cabinet numbers, and complete intelligent cabinet sorting. It is suitable for the classification and storage of various types of reagents, including refrigerated and general reagents, eliminating the problem of manual cabinet sorting errors, improving the regularity of reagent classification and retrieval, and improving operational efficiency. Furthermore, by collecting environmental parameters such as temperature and humidity inside and outside the cabinet in real time, it constructs an environmental difference vector to quantify the environmental impact of opening the door. Based on the simulation of candidate control strategies using a digital twin model, and combined with a comprehensive cost function, it selects the optimal pretreatment scheme to complete the pre-conditioning of the cabinet environment in advance. This effectively weakens the environmental abrupt changes caused by temperature, humidity and airflow exchange when the cabinet door is opened, protecting the storage stability and activity of reagents. Simultaneously, a parameter margin judgment and safety redundancy protection mechanism is set up. Automatic door opening is authorized only when all environmental parameters meet the standards and a safety margin is provided. If the pretreatment is abnormal, the manual authorization mode is switched. This avoids the risk of reagent deterioration caused by storage in harsh environments from the source. After the cabinet door is closed, the graded recovery control is automatically started. Three types of control strategies, namely normal, accelerated and maximum power, are matched according to the environmental deviation level. The recovery status is evaluated by the dual judgment criteria of deviation convergence and fluctuation. The longest recovery time limit is set. If the standard is met, the standard steady state is returned. If the time limit is exceeded, the suboptimal event is recorded according to the rules. If the abnormality is notified, an alarm is triggered immediately and the management personnel are notified to intervene.

[0022] The threshold is set for result comparison and analysis to determine whether it is good or bad. The value of the threshold is determined by a combination of large-scale model analysis of the sample data and human experience, and can also be adjusted appropriately based on seasonal or common-sense influencing factors. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A multi-class reagent kit, comprising a kit body (1), characterized in that, The main control panel (2) is fixedly connected to the front surface of the reagent kit body (1). Multiple storage compartments (3) are opened inside the reagent kit body (1). A movable storage rack (4) is slidably connected inside the storage compartment (3). Storage cabinet doors (5) are hinged to the front surface of the reagent kit body (1) in front of the storage compartments (3).

2. A reagent storage environment control system for a multi-class reagent kit, wherein the reagent storage environment control system is applied to the multi-class reagent kit of claim 1, characterized in that, It includes an initial warehouse adjustment module, an environmental pre-conditioning module, an on / off management module, a door closure recovery module, an action execution module, and a database; The initial matching module is used to match the classification attributes of the reagents to be classified with the stored classification information of the reagent kits, output the reagent cabinet number and generate an open cabinet signal; When an opening signal is generated, the environmental preconditioning module is used to construct a single-parameter safety range and perform instruction matching analysis on the collected external and internal environmental information of the reagent cabinet number, and output the preprocessing decision internal control parameter vector. The switch management module is used to calculate the margin between the current actual parameter values ​​and the safe range of the corresponding single parameter of the reagent. Combined with the preset safety redundancy threshold, it determines whether to trigger the protection mechanism. At the same time, it is accompanied by periodic convergence and preprocessing execution time analysis, and outputs the door opening command or manual opening signal. The door closure recovery module is used to determine whether the cabinet door is in a closed state. If a door closure command is generated, it triggers the environmental recovery processing and evaluation analysis in the storage area to be stored, and outputs an alarm signal, recovery completion, or suboptimal event.

3. The reagent storage environment control system for multi-class reagent kits according to claim 2, characterized in that, The matching and analysis process between the classification attributes and the stored classification information is as follows: Scan the barcode / QR code of the reagent to be classified, automatically read the classification attributes and required parameters of the reagent to be classified, obtain the stored classification information of the reagent kit, and match the classification attributes of the reagent to be classified with the classification type-reagent cabinet number in combination with the preset classification type-reagent cabinet number, output the reagent cabinet number of the reagent to be classified, and generate an open cabinet signal at the same time.

4. The reagent storage environment control system for multi-class reagent kits according to claim 2, characterized in that, The process of constructing the single-parameter safe interval and performing instruction matching analysis is as follows: Real-time collection of external and internal environmental information of reagent cabinets for reagents to be classified, and calculation of the difference vector ΔE between internal and external environments; Set the reagent cabinet number of the reagent to be classified as the storage area, traverse all n reagents in the storage area, read the upper and lower safety limits of the environmental parameters of each reagent, take the maximum value of all lower limits of a single parameter as the effective lower limit of the area, take the minimum value of all upper limits as the effective upper limit of the area, and construct the safety interval of a single parameter.

5. The reagent storage environment control system for multi-class reagent kits according to claim 4, characterized in that, Based on the current ΔE and the single parameter safety range, M candidate strategy vectors are generated. Each candidate strategy, along with the external and internal environmental information of the storage area, is input into the preset digital twin model of the internal environment of the cabinet, and the predicted values ​​of temperature and humidity field and flow field distribution at each point in the cabinet are output. Construct a target comprehensive cost function J, score the prediction results of each candidate strategy, calculate the J value for all candidate strategies, select the strategy with the smallest J value as the preprocessing decision, and execute the control parameter vector within the preprocessing decision as the final instruction output.

6. The reagent storage environment control system for multi-class reagent kits according to claim 1, characterized in that, The analysis process for the door opening command or manual opening signal is as follows: Calculate the margin between the current actual parameter value and the corresponding reagent single parameter safety range, preset the safety redundancy threshold, and when any margin is less than the safety redundancy threshold, it is determined to have reached the red line and trigger the protection mechanism: switch the control target value to the center value of the safety range, the center value of the safety range = the sum of the maximum and minimum values ​​in the single parameter safety range / 2, and quickly pull the parameter back to the safe position of the center of the safety range.

7. The reagent storage environment control system for multi-class reagent kits according to claim 6, characterized in that, Set the control cycle, obtain the deviation of each single parameter at the end of each control cycle, and if the deviation of a single parameter is within the preset allowable error range, then the current control cycle is determined to be a qualified deviation convergence. The number of times the deviation convergence is qualified is continuously collected. Combined with the preset periodic convergence threshold, if and only if the number of times the deviation convergence is qualified for all controlled parameters is ≥ the preset periodic convergence threshold, it is determined that the overall preprocessing has reached a stable state and the preprocessing completion event is triggered. Simultaneously, a maximum preprocessing wait time is set. When the preprocessing execution time, starting from the start time, reaches the maximum preprocessing wait time, regardless of whether the above convergence result is satisfied, the following judgment is forcibly entered: Read the actual values ​​of all current parameters and compare them one by one with the corresponding single parameter safety range. If all dimensions are within the corresponding single parameter safety range, the safety check is deemed to have passed, the current parameter value is taken as the suboptimal preprocessing state, and the preprocessing is marked as complete. If any parameter is not within the safe range of the corresponding single parameter, the safety check is deemed to have failed. The control target value is then switched to the center value of the safe range, and the parameter is pulled back to the safe range. When the convergence result meets or has reached the maximum preprocessing waiting time, or the parameters are pulled back to the safe zone, the actual values ​​of the environmental parameters of all parameters in the current cabinet are read and compared with the corresponding single parameter safe zone one by one. If it is confirmed that all parameters are within the corresponding single parameter safe zone and the margin of any parameter from the safe boundary is greater than zero, the door opening command is triggered. If any parameter exceeds the corresponding single parameter safety range, the pretreatment is deemed to have failed. The environment inside the cabinet will be gradually restored to the reagent standard storage setting value, and a manual start signal will be generated.

8. The reagent storage environment control system for multi-class reagent kits according to claim 6, characterized in that, The process for environmental restoration and evaluation analysis within the storage area is as follows: The cabinet door status is continuously monitored by the door control switch of the cabinet door in the storage area to determine whether the cabinet door is closed. If the cabinet door is closed and the duration is greater than the preset duration, the closing event is determined to be established and a closing command is generated. When a door closing command is generated, the closed-loop control cycle begins with a preset fixed control period: S1: Perform an initial deviation assessment on each controlled environment parameter j in the storage area to be stored. Combined with the standard steady-state parameters, obtain the absolute value of the deviation Dj of each controlled environment parameter, and classify each controlled environment parameter into large deviation, medium deviation and small deviation. S2: Retrieve the preset deviation-recovery decision, take the highest value among all the deviation levels of the controlled environment parameters as the comprehensive deviation level, and output the recovery decision based on the matching of the comprehensive deviation level and the preset deviation-recovery decision; S3: Configure the corresponding set of recovery control parameters based on the recovery decision output by the matching; S4: After the decision matching is restored, the controller enters the closed-loop control cycle with a preset fixed control period. Let the cycle counter k be a natural number greater than zero. S5: At the end of each preset fixed control cycle, determine whether the recovery has converged to the target state: For each controlled environment parameter j, the following judgment is made: if the deviation of a single parameter is within the preset allowable convergence recovery error range, then the current control cycle is determined to be deviation convergence recovery; take the parameter value sequence of the current and the previous G preset fixed control cycles, calculate the fluctuation difference between the maximum peak value and the minimum peak value within the window, and if the fluctuation difference is less than the preset stable fluctuation threshold, then the parameter is marked as fluctuation recovery; S6: When all controlled environmental parameters simultaneously meet the requirements of deviation convergence recovery and fluctuation recovery, the recovery is determined to be complete when the increment value of the counter exceeds the preset value; if any parameter does not meet the requirements, the counter is reset to zero. S7: Set the maximum recovery time. If the closed-loop control cycle execution time has reached the maximum recovery time, the recovery is still not determined to be complete. Then check whether all controlled environment parameters have entered their respective single parameter safe ranges. If all have entered the safe range, the current state is received as suboptimal steady state, the closed-loop control cycle is terminated, the log is recorded and marked as a suboptimal event. If any parameter has not entered the safe range, an alarm signal is triggered.

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