Intelligent management and control system of small nucleic acid drug high-throughput screening equipment

Abstract

The invention discloses an intelligent management and control system for small nucleic acid drug high-throughput screening equipment, and the system comprises an equipment information collection module which is used for collecting the operation state data of the high-throughput screening equipment in real time; the equipment environment acquisition module is used for acquiring physical parameters of a microenvironment in which the equipment is located in real time; the user acquisition module is used for acquiring identity and operation behavior data of operators; and the data processing module comprises an equipment health analysis unit which is used for calculating an equipment health index H according to the running state data and generating equipment state management and control information containing the equipment health index H and maintenance suggestions. The method can integrate equipment operation state, microenvironment parameters and personnel operation behavior data, realizes comprehensive risk assessment, generates a regulation and control instruction in real time through a quantitative model, improves the robustness of equipment to cope with complex scenes, trains a decision model based on historical data, identifies potential risks in advance, triggers a joint optimization scheme, and improves the risk assessment efficiency. And the screening efficiency and accuracy of small nucleic acid drugs are ensured.

Description

Technical Field

[0001] The present invention relates to the field of control systems, and particularly to an intelligent control system for a high-throughput screening device for small nucleic acid drugs. Background Art

[0002] The research and development of small nucleic acid drugs relies on high-throughput screening technology to quickly identify effective drug targets by massively parallel processing of a large number of samples. Such screening devices need to meet the following core requirements: High-precision operating environment: Physical parameters such as temperature, humidity, and liquid flow pressure during the operation of the device directly affect the activity and reaction specificity of nucleic acid molecules, and small fluctuations may lead to deviations in screening results; Complex operation process: The screening process involves multiple steps of operation such as reagent preparation, sample addition, and temperature-controlled reaction, and has extremely high requirements for the standardization of personnel operation; Device stability requirements: Long-term high-throughput operation requires ensuring the reliability of key components (such as pipette pumps and temperature control modules) to avoid experiment interruption due to device failures.

[0003] The control of traditional high-throughput screening devices has the following limitations: Insufficient single-dimensional monitoring: It can only independently monitor the operating state of the device or environmental parameters, lacking multi-source data fusion analysis (such as the linkage evaluation of device health, environmental adaptability, and operation compliance); Passive response mode: Usually, intervention is carried out only after a failure occurs, and risks cannot be reduced through early warnings; Coarse management of the environment and operation: Poor adaptability to microenvironment fluctuations, and it is difficult to quantify the impact of personnel operation on experimental results, resulting in low repeatability of screening data. Therefore, an intelligent control system for a high-throughput screening device for small nucleic acid drugs is proposed. Summary of the Invention

[0004] The present invention solves the problems existing in the prior art through the following technical solutions. The present invention includes: A device information acquisition module for real-time acquisition of the operating state data of the high-throughput screening device; A device environment acquisition module for real-time acquisition of the physical parameters of the microenvironment where the device is located; A user acquisition module for acquiring the identity and operation behavior data of the operator; A data processing module, including: A device health analysis unit: calculating the device health index H according to the operating state data, and generating device state control information including the calculated device health index H and maintenance suggestions; An environment adaptation evaluation unit: comparing the physical parameters with the preset ideal environment values to generate an environment deviation degree E, and generating environment adaptation control information including the environment deviation degree E and adjustment schemes; Personnel operation compliance unit: Generate an operation compliance score U by comparing operation behavior data with a preset standard operation process, and generate personnel operation control information including the operation compliance score U and abnormal records; Dynamic feedback control module, including: Multi-source decision fusion sub-module: Input H, E, and U into a fusion model to calculate the comprehensive risk level; Equipment regulation instruction generation sub-module: Generate regulation instructions according to the comprehensive risk level; Information sending module, send the environment adaptation control information and personnel operation control information to a preset receiving terminal.

[0005] Furthermore, the data processing module includes: Equipment health analysis unit, calculate the equipment health index H based on the operation status data. The specific process is: ; In the formula, where S actual is the operation stability score calculated in real time according to the equipment vibration, temperature drift, and liquid flow pressure data, S max is the preset theoretical maximum stability score, T remain is the remaining life of key components calculated according to the equipment historical data, T total is the designed life of key components, and α and β are preset weight coefficients; The equipment status control information includes the equipment health index and maintenance suggestions.

[0006] Furthermore, the data processing module also includes: Environment adaptation evaluation unit, compare the physical parameters with the preset ideal environment value P i_ideal to calculate the environment deviation degree E. The specific process is: ; where Pi is the measured value of the i-th physical parameter, and wi is the preset parameter weight; The environment adaptation control information includes the environment deviation degree and environment adjustment plan.

[0007] Furthermore, the personnel operation compliance unit generates an operation compliance score U by comparing operation behavior data with a preset standard operation process. The specific process is: ; where N correct is the number of steps that conform to the standard operation process, and N total is the total number of operation steps; The personnel operation control information includes the operation compliance score and abnormal operation records.

[0008] Furthermore, the multi-source decision fusion unit inputs the device health index H, the environmental deviation degree E, and the operation compliance score U into the dynamic decision model to calculate the comprehensive risk level: ; where k1, k2, and k3 are preset risk weight coefficients; When the comprehensive risk level is greater than the preset threshold R threshold , the device regulation instruction generation sub-module executes: Generate a device speed reduction operation instruction; Trigger the joint optimization scheme generation module to output device maintenance, environmental regulation, and personnel training measures.

[0009] Furthermore, the dynamic feedback control module further includes an adaptive parameter optimization sub-module; The adaptive parameter optimization sub-module dynamically adjusts the operation parameters based on the device health index H and the initial temperature control accuracy ΔT0 and the maximum pipetting speed V of the high-throughput screening device max , and the specific process is as follows: ; where λ is the temperature control accuracy attenuation coefficient, γ is the pipetting speed attenuation coefficient, is the device initial temperature control accuracy parameter, is the maximum pipetting speed allowed by the device.

[0010] Furthermore, when the environmental deviation degree E exceeds the safety threshold, the parameter adaptive optimization unit executes: Override the speed adjustment formula and forcefully set V = V safe , V safe is the safety speed; Increase the temperature control accuracy to .

[0011] Furthermore, when the comprehensive risk level reaches the preset high-risk threshold R high , the information sending module: Send the device health index H and maintenance suggestions to the device maintenance terminal; Send the environmental deviation degree E and adjustment plan to the environmental monitoring terminal; Send the operation compliance score U and training plan to the personnel management terminal.

[0012] Furthermore, the information sending module sorts the control information according to the comprehensive risk level; The fusion model trains the weight coefficients k1, k2, k3 through historical failure data, satisfying k1 + k2 + k3 = 1 and k1 > k2 > k3.

[0013] The present invention has the following advantages compared with the prior art: The intelligent control system of the small nucleic acid drug high-throughput screening device calculates the health index by collecting operation status data, discovers potential device failures in advance, generates maintenance suggestions, reduces the risk of device downtime, extends the service life, monitors the physical parameters of the microenvironment in real time, generates the deviation degree and adjustment plan by comparing with the ideal value, ensures the stable operation environment of the device, improves the accuracy and repeatability of the screening experiment, generates compliance scores and abnormal records by comparing operation behaviors with the standard process, standardizes the behaviors of operators, reduces the influence of human errors on the screening results, integrates device health, environmental deviation degree and operation compliance data, calculates the comprehensive risk level and generates control instructions to actively respond to system risks, ensure the safe operation of the device, dynamically adjust the temperature control accuracy and pipetting speed according to the device health status and environmental risks, optimize the device performance while ensuring the screening efficiency, improve the stability of high-throughput screening, sort the control information according to the risk level and send it to the corresponding terminal to achieve rapid fault location and response, and improve the management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is the system block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The embodiments of the present invention will be described in detail below. These embodiments are implemented on the premise of the technical solution of the present invention, and detailed implementation manners and specific operation processes are given. However, the protection scope of the present invention is not limited to the following embodiments.

[0016] As Figure 1 shown, this embodiment provides a technical solution: An intelligent control system for a small nucleic acid drug high-throughput screening device, including: A device information acquisition module, configured to collect the operation status data of the high-throughput screening device in real time; A device environment acquisition module, configured to collect the physical parameters of the microenvironment where the device is located in real time; A user acquisition module, configured to collect the identity and operation behavior data of the operator; A data processing module, including: A device health analysis unit: calculates the device health index H according to the operation status data, and generates device status control information including the calculated device health index H and maintenance suggestions; An environment adaptation evaluation unit: compares the physical parameters with the preset environmental ideal value to generate the environmental deviation degree E, and generates environment adaptation control information including the environmental deviation degree E and adjustment plan; A personnel operation compliance unit: generates an operation compliance score U by comparing the operation behavior data with the preset standard operation process, and generates personnel operation control information including the operation compliance score U and abnormal records; The dynamic feedback control module includes: The multi-source decision fusion sub-module: inputs H, E, and U into the fusion model to calculate the comprehensive risk level; The equipment regulation instruction generation sub-module: generates regulation instructions according to the comprehensive risk level; The information sending module sends the environment adaptation control information and the personnel operation control information to the preset receiving terminal.

[0017] The data processing module includes: The equipment health analysis unit calculates the equipment health index H based on the operation status data. The specific process is as follows: ; In the formula, where S actual is the operation stability score calculated in real time according to the equipment vibration, temperature drift, and liquid flow pressure data, S max is the preset theoretical maximum stability score, T remain is the remaining life of the key components calculated according to the equipment historical data, T total is the designed life of the key components, and α and β are preset weight coefficients; The equipment status control information includes the equipment health index and maintenance suggestions; By fusing the operation stability and the remaining life of the components, the one-sidedness of single-dimensional evaluation is avoided, and the true health status of the equipment is more comprehensively reflected.

[0018] The health index H is calculated in real time. When the equipment runs abnormally or the components age, the value of H decreases and triggers maintenance suggestions, realizing preventive maintenance and reducing the risk of sudden shutdown.

[0019] The priority of stability and life can be flexibly adjusted by using the weight coefficients α and β. For example, high-precision equipment focuses on stability, and high-loss equipment focuses on life, adapting to the maintenance needs of different equipment.

[0020] For example, when a small nucleic acid drug screening device is running, the liquid flow pressure fluctuation causes the operation stability score S actual to drop from 90% of the theoretical maximum value S max to 70%, and at the same time, the remaining life T remain of the key components (such as the pipette pump) drops from 50% of the designed life T total to 30%. The preset weights are α = 0.6 and β = 0.4; ; The health index H = 0.54 is lower than the preset threshold (e.g., 0.7). The system generates maintenance suggestions: abnormal liquid flow pressure, insufficient remaining life of the pipette pump. It is recommended to check the pipeline tightness and schedule the replacement of the pump body. By intervening in advance, it is possible to avoid liquid flow errors or pump body failures caused by abnormal pressure in the equipment, and ensure the continuity and data accuracy of the drug screening experiment.

[0021] The data processing module further includes: An environment adaptation evaluation unit, which compares the physical parameters with the preset ideal environmental value P i_ideal and calculates the environmental deviation degree E. The specific process is as follows: ; where Pi is the measured value of the i-th physical parameter, and wi is the preset parameter weight; The environment adaptation control information includes the environmental deviation degree and the environmental adjustment plan; The environmental deviation degree E is calculated by weighted summation, converting the deviation degrees of multi-dimensional physical parameters such as temperature, humidity, and air pressure into quantifiable values, accurately locating the sources of environmental risks. For example, if a certain parameter has a high weight, it has a greater impact on the system, which is convenient for targeted adjustment.

[0022] The environmental parameters are monitored in real time and compared with the ideal values. When E exceeds the threshold, the adjustment plan is automatically triggered, such as starting the temperature control equipment, humidifying / dehumidifying, to avoid interference from environmental fluctuations on the equipment accuracy and experimental results.

[0023] By presetting the parameter weight wi, for example, if nucleic acid screening is highly sensitive to temperature, a higher weight is assigned to the temperature parameter, flexibly adjusting the priorities of different environmental factors to meet the accurate environmental control requirements of diverse experimental scenarios.

[0024] For example, a small nucleic acid drug screening experiment requires the microenvironment temperature to be maintained at 25 ± 0.5 °C, the ideal value P i_ideal = 25 °C, humidity 40 ± 5%, P i_ideal = 40%. The preset temperature weight w1 = 0.6 and humidity weight w2 = 0.4. During operation, the measured temperature is 26.5 °C, P1 = 26.5, humidity is 30%, P2 = 30; Temperature deviation degree: ; Humidity deviation degree: ; Environmental deviation degree: ; System response: E = 0.136 exceeds the preset threshold, and the system generates an environment adjustment plan: The temperature is 1.5°C higher and the humidity is 10% lower. It is recommended to start the air conditioner to cool down to 25°C and turn on the humidifier to 40% humidity. Through real-time adjustment, avoid nucleic acid denaturation caused by high temperature or droplet evaporation caused by low humidity, ensure stable reaction conditions for the screening experiment, and improve data reliability.

[0025] The personnel operation compliance unit generates an operation compliance score U by comparing the operation behavior data with the preset standard operation process. The specific process is as follows: ; Where N correct is the number of steps that conform to the standard operation process, and N total is the total number of operation steps; The personnel operation control information includes the operation compliance score and abnormal operation records; By comparing the operation behavior with the standard process and calculating the compliance score U, the standardization of personnel operations is transformed into quantifiable values, avoiding subjective judgments, realizing the standardized management of operation processes, and reducing the interference of human operations on experimental results.

[0026] Generating abnormal operation records can locate the specific steps of operation errors in real time, such as step omission, incorrect order, etc., facilitating operators to trace the root cause of problems, making targeted improvements, and reducing repetitive mistakes.

[0027] Forcing the standardization of operation processes ensures the consistency of steps when different operators perform the same experiment, avoiding fluctuations in experimental results caused by operation differences, especially suitable for the small nucleic acid drug screening scenario with high requirements for operation accuracy.

[0028] For example, the standard operation process of a small nucleic acid drug screening experiment includes 10 steps, such as reagent preparation, sample addition, temperature-controlled reaction, etc. The operator omitted the 5th step of adding reverse transcriptase during execution; Calculation process: Total number of operation steps N total = 10; Number of steps that conform to the standard process N correct = 9, the 5th step was omitted; Operation compliance score: U = 9 / 10 × 100% = 90%; Generate personnel operation control information: Operation compliance score U = 90%, Abnormal record: The 5th step of adding reverse transcriptase was not executed.

[0029] The system automatically sends a prompt to the personnel management terminal: Detection of omission of key reagent addition. It is recommended that the operator review the 5th step of the standard process and participate in targeted operation training. Through timely reminders and records, avoid experimental failures or data deviations caused by reagent omissions, and ensure the accuracy and repeatability of screening results.

[0030] The multi-source decision fusion unit inputs the device health index H, the environmental deviation E, and the operation compliance score U into the dynamic decision model to calculate the comprehensive risk level: ; where k1, k2, and k3 are preset risk weight coefficients; When the comprehensive risk level is greater than the preset threshold R threshold the device regulation instruction generation sub-module executes: Generate an instruction for the device to operate at a reduced speed; Trigger the combined optimization plan generation module to output measures for device maintenance, environmental adjustment, and personnel training; By fusing the device health index H, the environmental deviation E, and the operation compliance score U, a comprehensive risk level model is constructed to avoid the one-sidedness of single-dimensional evaluation, realize the all-round quantitative analysis of the device operation risk, and identify potential hidden dangers in advance (such as the superposition effect of device aging, environmental fluctuations, and operation errors).

[0031] When the comprehensive risk level exceeds the threshold, the system automatically triggers the device to operate at a reduced speed and the combined optimization plan for maintenance, environment, and personnel, realizing the hierarchical response to risks. For example, when the risk is high, the device parameters are adjusted, the environment is improved, and the personnel are trained simultaneously to enhance the system robustness.

[0032] Using the weight coefficients k1, k2, k3 (k1>k2>k3), the risk priorities of device health, environment, and operation can be flexibly adjusted (for example, when the device has high precision requirements, a higher weight is assigned to k1) to adapt to the risk control requirements of different screening experiments.

[0033] For example: When a small nucleic acid drug screening device is operating, the device health index H = 0.6, which is on the low side, the environmental deviation E = 0.2, medium, the operation compliance score U = 0.8, good, the preset weights k1 = 0.5, k2 = 0.3, k3 = 0.2, and the risk threshold R threshold = 0.4.

[0034] Calculation process: Comprehensive risk level Since 0.3 < 0.4 (not exceeding the threshold), the system does not trigger a speed reduction for the time being, but generates a warning: The device health status is on the low side, and it is recommended to pay attention to the change of the H value.

[0035] Risk escalation scenario: If H = 0.4, E = 0.3, U = 0.7, and the weights remain unchanged: ; At this time, an instruction for the device to operate at a reduced speed is generated, and the pipetting speed is reduced to 80% of the maximum speed; Trigger the joint optimization plan: the equipment health index is low (it is recommended to check key components), the environmental deviation is medium (start temperature and humidity adjustment), and the operation compliance needs to be improved (push review materials on standard processes). Through multi-dimensional intervention, avoid the failure of the screening experiment caused by equipment failure, environmental fluctuations or operation oversights, and ensure the continuity and data reliability of drug screening.

[0036] The dynamic feedback control module further includes an adaptive parameter optimization sub-module; The adaptive parameter optimization sub-module dynamically adjusts the operating parameters based on the equipment health index H and the initial temperature control accuracy ΔT0 and the maximum pipetting speed V of the high-throughput screening equipment max , and the specific process is as follows: ; where λ is the temperature control accuracy attenuation coefficient and γ is the pipetting speed attenuation coefficient, is the equipment initial temperature control accuracy parameter, is the maximum pipetting speed allowed by the equipment; Equipment performance self-adaptation optimization and life extension: Dynamically adjust the temperature control accuracy and pipetting speed through the equipment health index H. When the equipment health status deteriorates, the value of H decreases, and the operating load is automatically reduced, such as reducing the pipetting speed and relaxing the temperature control accuracy, to avoid the aggravation of failures caused by running the equipment with problems, and achieve the balanced optimization of equipment performance and life.

[0037] When the health status is good, the value of H is high, and high-precision operation is maintained, such as strict temperature control and high-speed pipetting, to ensure the experimental efficiency; when the health status deteriorates, through parameter self-adaptation adjustment, reduce experimental errors caused by equipment abnormalities, such as unstable liquid flow and temperature control deviation, and ensure the reliability of screening data.

[0038] Utilize the exponential decay model and non-linear speed adjustment to achieve a smooth transition of parameter adjustment, avoid the impact of sudden speed reduction on the experimental process, and dynamically optimize between equipment health and screening efficiency; For example, for a small nucleic acid drug screening equipment, the initial temperature control accuracy ΔT0 = ±0.5°C, and the maximum pipetting speed V max = 100 μL / s, the temperature control accuracy attenuation coefficient λ = 0.5, and the pipetting speed attenuation coefficient γ = 0.3. After the equipment has been running for a period of time, the health index H drops from the initial 1.0 to 0.6.

[0039] Adjusted temperature control accuracy: ; Adjusted pipetting speed: ; At this time, the temperature control accuracy is increased from ±0.5°C to ±0.37°C. When H drops, in the formula The exponent is negative. The smaller the H, the smaller the ΔT, that is, the precision is improved, and the pipetting speed is reduced from 100 μL / s to 95.2 μL / s.

[0040] This adjustment not only reduces the equipment load by reducing the speed and extends the life of key components, but also ensures the temperature sensitivity requirements of nucleic acid reactions by improving the temperature control precision, avoiding experimental result deviations caused by the decline of the equipment health status, and realizing intelligent regulation that gives priority to ensuring the stability of key indicators when performance decays.

[0041] When the environmental deviation E exceeds the safety threshold, the parameter adaptive optimization unit executes: Cover the speed adjustment formula and forcefully set V = V safe , V safe is the safe speed; Improve the temperature control precision to ; Emergency intervention for environmental risks and safety guarantee: When the environmental deviation E exceeds the safety threshold, forcefully override the conventional parameter adjustment logic and operate at the safe speed Vsafe and enhanced temperature control precision to avoid equipment failures or experimental errors caused by drastic environmental fluctuations, such as sudden temperature changes and humidity exceeding the standard, and achieve emergency risk stop-loss.

[0042] By improving the temperature control precision, such as doubling the attenuation coefficient, offset the influence of environmental fluctuations on temperature-sensitive experiments such as nucleic acid amplification and enzymatic reactions; at the same time, limit the pipetting speed to prevent sampling errors caused by changes in the physical properties of the liquid, such as viscosity and evaporation rate, due to environmental changes, and ensure the reliability of experimental data.

[0043] Automatically switch to the safe mode during environmental crises, temporarily sacrificing some operating efficiency to ensure core functions, reflecting the system's adaptive fault tolerance to environmental risks, especially suitable for small nucleic acid drug screening scenarios sensitive to the environment.

[0044] For example, the small nucleic acid drug screening experiment requires the microenvironment temperature to be maintained at 37 ± 0.5 °C, and the safety threshold is set as the environmental deviation E ≥ 0.2. During operation, due to an air conditioner failure, the measured temperature suddenly rises to 40 °C, and the ideal value P of the corresponding environmental parameter i_ideal = 37 °C, and it is calculated that E = |(40 - 37) / 37| = 0.081. Assuming that only the temperature parameter, the weight w1 = 1, exceeds the safety threshold of 0.2.

[0045] ; That is, the temperature control precision is improved from ±0.5 °C to ±0.27 °C, and the reaction system temperature is maintained stable by strengthening the temperature control to compensate for the high temperature of the environment.

[0046] When the comprehensive risk level of the information sending module reaches the preset high-risk threshold R high : Send the device health index H and maintenance suggestions to the device maintenance terminal; Send the environmental deviation E and adjustment plan to the environmental monitoring terminal; Send the operation compliance score U and training plan to the personnel management terminal.

[0047] The information sending module sorts the control information according to the comprehensive risk level; The fusion model trains the weight coefficients k1, k2, k3 through historical fault data, satisfying k1 + k2 + k3 = 1 and k1 > k2 > k3.

[0048] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0049] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0050] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. An intelligent control system for a high-throughput screening device of small nucleic acid drugs, characterized in that, It includes: An equipment information collection module, which is used to collect the operation status data of high-throughput screening equipment in real time; An equipment environment collection module, which is used to collect the physical parameters of the microenvironment where the equipment is located in real time; An operator collection module, which is used to collect the identity and operation behavior data of the operator; A data processing module, including: An equipment health analysis unit: Calculate the equipment health index H based on the operation status data, and generate equipment status control information including the calculated equipment health index H and maintenance suggestions; An environment adaptation evaluation unit: Compare the physical parameters with the preset ideal environment values to generate an environment deviation degree E, and generate environment adaptation control information including the environment deviation degree E and adjustment schemes; A personnel operation compliance unit: Generate an operation compliance score U by comparing the operation behavior data with the preset standard operation process, and generate personnel operation control information including the operation compliance score U and abnormal records; A dynamic feedback control module, including: A multi-source decision fusion sub-module: Input H, E, and U into the fusion model to calculate the comprehensive risk level; An equipment regulation instruction generation sub-module: Generate regulation instructions according to the comprehensive risk level; An information sending module, which sends the environment adaptation control information and the personnel operation control information to the preset receiving terminal.

2. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to claim 1, characterized in that: The data processing module includes: An equipment health analysis unit, which calculates the equipment health index H based on the operation status data. The specific process is: ； where S actual is the operation stability score calculated in real time based on the equipment vibration, temperature drift, and liquid flow pressure data, and S max is the preset theoretical maximum stability score, T remain is the remaining life of the key components calculated based on the equipment historical data, T total is the designed life of the key components, and α and β are preset weight coefficients; The equipment status control information includes the equipment health index and maintenance suggestions.

3. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to claim 1, characterized in that: The data processing module also includes: An environment adaptation evaluation unit compares the physical parameters with the preset ideal environmental value P i_ideal to calculate the environmental deviation E. The specific process is as follows: ； Where Pi is the measured value of the i-th physical parameter, and wi is the preset parameter weight; The environment adaptation control information includes the environment deviation degree and the environment adjustment scheme.

4. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to claim 1, characterized in that: The personnel operation compliance unit generates an operation compliance score U by comparing the operation behavior data with the preset standard operation process. The specific process is: ； Where N correct is the number of steps in line with the standard operation process, and N total is the total number of operation steps; The personnel operation control information includes the operation compliance score and abnormal operation records.

5. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to claim 1, characterized in that: The multi-source decision fusion unit inputs the equipment health index H, the environment deviation degree E, and the operation compliance score U into the dynamic decision model to calculate the comprehensive risk level: ； Where k1, k2, and k3 are preset risk weight coefficients; When the comprehensive risk level is greater than the preset threshold R threshold the equipment control instruction generation sub-module executes: Generate an equipment speed reduction operation instruction; Trigger the joint optimization scheme generation module to output equipment maintenance, environment adjustment, and personnel training measures.

6. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to claim 5, characterized in that: The dynamic feedback control module also includes an adaptive parameter optimization sub-module; The adaptive parameter optimization sub-module dynamically adjusts the operating parameters based on the device health index H, the initial temperature control accuracy ΔT0 of the high-throughput screening device, and the maximum pipetting speed V max , and the specific process is as follows: ； where λ is the temperature control accuracy attenuation coefficient, and γ is the pipetting speed attenuation coefficient, is the initial temperature control accuracy parameter of the device, is the maximum pipetting speed allowed by the device.

7. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to claim 6, characterized in that: When the environment deviation degree E exceeds the safety threshold, the parameter adaptive optimization unit executes: Covering speed adjustment formula, force setting V = V safe , V safe is the safe speed; Improve the temperature control accuracy to .

8. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to claim 7, characterized in that: The information sending module when the comprehensive risk level reaches the preset high-risk threshold R high : Send the equipment health index H and maintenance suggestions to the equipment maintenance terminal; Send the environment deviation degree E and adjustment schemes to the environment monitoring terminal; Send the operation compliance score U and training schemes to the personnel management terminal.

9. The intelligent control system of a high-throughput screening device for small nucleic acid drugs according to any one of claims 1-8, characterized in that: The information sending module sorts the control information according to the comprehensive risk level; The fusion model trains the weight coefficients k1, k2, k3 through historical failure data, satisfying k1 + k2 + k3 = 1 and k1 > k2 > k3.

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