Intelligent AI biological signal acquisition and analysis system

Abstract

The invention discloses an intelligent AI biological signal acquisition and analysis system, and belongs to the technical field of biological signal acquisition and analysis. Comprising an experiment preparation module used for animal category determination and parameter presetting, module state detection and environment setting; the experiment target state maintaining module is used for anesthesia management, respiration management, physiological index monitoring, injection position and medicine absorption judgment, animal welfare evaluation and ethical examination suggestion; the experimental data automatic analysis module is used for carrying out real-time data analysis and experimental report generation; the voice and gesture recognition module is used for receiving a voice instruction and a gesture instruction of a user to intelligently control each module; and the remote control module is used for a user to remotely monitor each module through a mobile terminal. According to the invention, the time and error of manually setting parameters are reduced, the animal can be ensured to be in the optimal experiment state, the experiment operation is standardized, and the experiment efficiency and the result accuracy are integrally improved.

Description

Technical Field

[0001] The present invention relates to the technical field of biological signal acquisition and analysis, and particularly to an intelligent AI biological signal acquisition and analysis system. Background Art

[0002] In the experimental preparation stage of existing biological signal acquisition devices, experimental personnel often need to manually set various parameters, which is not only time-consuming and laborious, but also prone to parameter setting errors due to human negligence, affecting the accuracy of experimental results. In terms of life support, the monitoring and adjustment of anesthesia depth, respiratory status, etc. are not precise and timely enough to ensure that experimental animals are in the best state for experiments, and at the same time, it increases the pain and experimental risks of animals.

[0003] During the operation process, the judgment of injection position and drug absorption situation relies on manual experience, lacking an objective and accurate judgment method, making it difficult to ensure the standardization and consistency of experimental operations. The attention to animal welfare is insufficient, lacking a perfect evaluation and guarantee mechanism, and the ethical review of the experimental process is not strict and intelligent enough. The analysis of experimental data mainly relies on manual processing, with low efficiency and being easily affected by subjective factors, unable to quickly provide accurate analysis results and standardized experimental reports. In addition, the control method of the device is single, mostly manual operation, lacking convenient remote monitoring and control functions, which limits the flexibility and operability of the experiment.

[0004] With the development of technology, artificial intelligence (AI), sensor technology, image recognition technology, etc. have been continuously progressing, providing technical support for the intelligent upgrade of biological signal acquisition and analysis systems. However, there is currently no biological signal acquisition and analysis system on the market that can effectively integrate these technologies to achieve full-process intelligence and automation, and it cannot meet the needs of modern biomedical research and experimental teaching for efficient, precise, and intelligent experimental equipment. Summary of the Invention

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, provide an intelligent AI biological signal acquisition and analysis system, solve a series of problems in the existing biological signal acquisition and analysis process, realize the automation and intelligence of experimental preparation, reduce errors caused by manual operation, and improve experimental efficiency and accuracy. Precisely monitor and automatically adjust the life support parameters of experimental animals to ensure the health and safety of animals during the experiment, and at the same time improve the reliability of experimental data. Utilize image recognition and AI technology to achieve intelligent judgment and voice prompts during the operation process, standardize the experimental operation process. Rapidly and accurately analyze experimental data through AI algorithms, automatically generate standardized experimental reports, and improve the efficiency and quality of data analysis. Provide a convenient device control method, support voice, gesture control, and remote monitoring and control, and enhance the flexibility and operability of experimental operations.

[0006] The object of the present invention is achieved by the following technical solutions: An intelligent AI biological signal acquisition and analysis system, comprising: An experimental preparation module, configured to perform animal category determination and parameter presetting, module status detection, and environmental setting; An experimental target state maintenance module, configured to perform anesthesia management, respiratory management, physiological index monitoring, injection position and drug absorption determination, animal welfare assessment, and ethical review suggestions; An experimental data automatic analysis module, configured to perform real-time data analysis and generate experimental reports; A voice and gesture recognition module, configured to receive voice commands and gesture commands from the user to perform intelligent control on each module; A remote control module, configured to enable the user to remotely monitor each module through a mobile terminal.

[0007] Preferably, the animal category determination and parameter presetting include the following steps: using an image recognition method and a machine learning algorithm to identify the category of the experimental target placed on the experimental table; measuring the body weight through a pressure sensor, and combining the animal category and body weight data to automatically query the preset parameter database to determine the anesthesia dose, respiratory rate, and sampling parameters, and sending them to the experimental equipment for presetting; The module status detection includes the following steps: when the system starts, automatically send a detection instruction to the experimental equipment, receive the status information returned by the experimental equipment, determine whether each module is working properly, and if a device failure occurs, display the failure information and send a maintenance notice; The environmental setting includes the following steps: when the system starts, automatically turn on the laboratory lights, collect the height information of the experimental personnel through a camera, and control the electric lifting device of the experimental table to adjust the tabletop height according to the height information.

[0008] Preferably, the anesthesia management includes the following steps: real-time monitoring of the physiological signals of the experimental target through a sensor, combining the animal image information collected by the camera, using an AI algorithm to evaluate the anesthesia depth of the experimental target, and prompting the experimental personnel to make adjustments according to the evaluation results; The respiratory management includes the following steps: automatically adjusting the parameters of the ventilator according to the physiological parameters of the experimental target and the real-time monitored respiratory data, and at the same time prompting the respiratory status; The physiological index monitoring includes the following steps: using various sensors to collect the physiological index data of the experimental target in real time and perform analysis. When an abnormal physiological index is detected, the system issues an alarm, highlights the abnormal index, and prompts the experimental personnel; The determination of the injection position and drug absorption includes the following steps: Using a camera to collect images of the injection site of the experimental subject, judging whether the injection position is correct through an image recognition algorithm, and analyzing the absorption of the anesthetic drug; The system combines the image analysis results and the physiological responses of the animals to prompt the anesthesia state and guide the operation of the experimenters; The assessment of animal welfare includes the following steps: Real-time monitoring of the physiological data and behavioral data of the experimental subject through sensors, using an AI algorithm to evaluate the animal welfare level of the experimental subject, and the system prompting the animal welfare state according to the evaluation results; The ethical review suggestions include the following steps: According to the built-in ethical standard database of the experimental process in the system, automatically checking whether the current experimental process meets the ethical requirements. If it is found that the experimental process does not meet the ethical standards, the system displays specific problems and provides improvement suggestions.

[0009] Preferably, the real-time data analysis includes the following steps: The system uses an AI algorithm to perform real-time analysis on the collected experimental data, extracts data features and compares them with a preset standard data model to obtain an analysis result; The generation of the experimental report includes the following steps: After the experiment is completed, the system automatically generates a standardized experimental report based on the data records during the experiment.

[0010] Preferably, when the system works, it includes the following steps: In the experimental preparation stage, the experimenter places the experimental subject on the experimental table. The system automatically starts the experimental preparation module to identify the animal category, measure the weight and preset the experimental parameters, and at the same time detect the status of each module and adjust the experimental environment; In the experimental progress stage, the experimental subject status maintenance module monitors and adjusts the physiological state parameters of the experimental subject in real time; The system monitors and prompts the experimental operation in real time; The experimental data automatic analysis module collects and analyzes the experimental data in real time, and the experimenter optimizes the control instructions according to the real-time feedback analysis results; In the experimental end stage, after the experiment is completed, evaluate the animal welfare level and check the ethical compliance of the experimental process; The experimental data automatic analysis module generates an experimental report.

[0011] The beneficial effects of the present invention are: 1) Improve the experimental efficiency and accuracy: The automation and intelligence functions of the experimental preparation module reduce the time and errors of manual parameter setting. The precise control of the experimental subject status maintenance module ensures that the animals are in the best experimental state. The intelligent determination standardizes the experimental operation. The experimental data automatic analysis module processes the data quickly and accurately, improving the experimental efficiency and the accuracy of the results as a whole.

[0012] 2) Ensure animal welfare and experimental ethics: Real-time monitor the animal welfare level, strictly review the ethical standards of the experimental procedures, reduce the pain of animals in experiments, enhance the morality and scientific nature of experiments, and avoid experimental failures or disputes caused by ethical issues.

[0013] 3) Improve operation convenience and flexibility: Voice and gesture control functions, as well as remote monitoring and control functions, enable experimenters to operate the equipment more conveniently without spatial limitations. During the experiment, experimenters can control the equipment through voice or gestures while using both hands for other operations, improving the flexibility and efficiency of operations.

[0014] 4) Enhance data analysis capabilities and report quality: The experimental data automatic analysis module uses AI algorithms for real-time analysis, provides accurate analysis results, and automatically generates standardized experimental reports, improving the efficiency and quality of data analysis, and reducing the workload and errors of manual data analysis and report writing. Description of the Drawings

[0015] Figure 1 This is the system principle block diagram of the present invention. Detailed Embodiments

[0016] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0017] Refer to Figure 1 , the present invention provides a technical solution: An intelligent AI biological signal acquisition and analysis system, including: An experiment preparation module, used for animal category determination and parameter presetting, module status detection, and environmental setting; An experimental target state maintenance module, used for anesthesia management, respiratory management, physiological index monitoring, injection position and drug absorption determination, animal welfare assessment, and ethical review suggestions; An experimental data automatic analysis module, used for real-time data analysis and experimental report generation; A voice and gesture recognition module, used for receiving voice commands and gesture commands from users to intelligently control each module; A remote control module, used for users to remotely monitor each module through a mobile terminal.

[0018] In this embodiment, the system hardware includes an experimental bench, an anesthesia machine, a ventilator, various sensors (such as blood pressure sensors, heart rate sensors, respiratory sensors), cameras, microphones, display screens, animal euthanasia devices, and mobile devices (such as mobile phones, tablets), etc. The experimental bench is equipped with an electric lifting device that can automatically adjust the height according to the instructions of the experimenter. The anesthesia machine and the ventilator have intelligent control interfaces that can receive control instructions sent by the system and automatically adjust parameters. The sensors are used to collect the physiological signals of animals and transmit the data to the system for analysis. The cameras and microphones are used to collect image and sound information to implement gesture recognition and voice control functions. The display screen is used to display information such as experimental data, operation prompts, and analysis results. The animal euthanasia device is integrated into the system and can perform corresponding operations according to instructions. The mobile device is connected to the system through a wireless network to achieve remote monitoring and control.

[0019] In some embodiments, the animal category determination and parameter presetting include the following steps: using image recognition methods and machine learning algorithms to identify the category of the experimental target placed on the experimental bench; measuring the body weight through a pressure sensor, and combining the animal category and body weight data, automatically querying the preset parameter database to determine the anesthesia dose, respiratory rate, and sampling parameters, and sending them to the experimental equipment for presetting; The module status detection includes the following steps: when the system starts, automatically sending a detection instruction to the experimental equipment, receiving the status information returned by the experimental equipment, judging whether each module is working properly, and if a device failure occurs, displaying the failure information and sending a maintenance notice; The environment setting includes the following steps: when the system starts, automatically turning on the laboratory lights, collecting the height information of the experimenter through the camera, and controlling the electric lifting device of the experimental bench to adjust the height of the tabletop according to the height information.

[0020] In this embodiment, for animal category determination and parameter presetting: using image recognition technology and machine learning algorithms to identify the category of the animal placed on the experimental bench. Measuring the animal's body weight through a pressure sensor, and combining the animal category and body weight data, automatically querying the preset parameter database to determine the anesthesia dose, respiratory rate, sampling parameters, etc. For example, for rabbits, the system automatically calculates the appropriate anesthesia dose according to its body weight and sends the parameters to the anesthesia machine and the ventilator for presetting.

[0021] Module Status Detection and Environment Settings: When the system starts, it automatically sends detection instructions to devices such as anesthetic machines, ventilators, and sensors, receives the status information returned by the devices, and determines whether each module is working properly. If a device failure is detected, the system displays the failure information on the display screen and prompts the experimenter to perform maintenance through voice. At the same time, the system automatically turns on the laboratory lights, collects the height information of the experimenter through the camera, and controls the electric lifting device of the experimental table to adjust the tabletop to a suitable height.

[0022] Intelligent Control of the Experiment Preparation Module: The system integrates voice recognition and gesture recognition functions. The voice recognition module recognizes and parses the user's voice commands. For example, when the user says "Start preparing the experiment and use the rabbit arterial blood pressure template", the system automatically completes animal category recognition, parameter presetting, and other preparation work according to the command. The gesture recognition module captures the user's gesture actions through the camera to achieve non-contact operation. For example, when a user's raising hand action is detected during the experiment preparation stage, the system automatically starts the experiment preparation process; when a user's waving hand action is detected, the system turns on the lights.

[0023] In some embodiments, the anesthesia management includes the following steps: Real-time monitoring of the physiological signals of the experimental target through sensors, combining with the animal image information collected by the camera, using AI algorithms to evaluate the anesthesia depth of the experimental target, and prompting the experimenter to make adjustments according to the evaluation results; The respiration management includes the following steps: Automatically adjusting the parameters of the ventilator according to the physiological parameters of the experimental target and the real-time monitored respiration data, and at the same time prompting the respiration status; The physiological index monitoring includes the following steps: Using various sensors to collect the physiological index data of the experimental target in real time and analyze it. When an abnormal physiological index is detected, the system issues an alarm, highlights the abnormal index, and prompts the experimenter; The determination of the injection position and drug absorption includes the following steps: Collecting the image of the injection site of the experimental target through the camera, judging whether the injection position is correct through the image recognition algorithm, and analyzing the absorption situation of the anesthetic drug; The system combines the image analysis results and the animal's physiological reactions to prompt the anesthesia state and guide the experimenter's operation; The animal welfare assessment includes the following steps: Real-time monitoring of the physiological data and behavior data of the experimental target through sensors, using AI algorithms to evaluate the animal welfare level of the experimental target, and the system prompts the animal welfare status according to the evaluation results; The ethical review suggestion includes the following steps: Automatically checking whether the current experimental procedure meets the ethical requirements according to the built-in experimental procedure ethical standard database in the system. If it is found that the experimental procedure does not meet the ethical standards, the system displays the specific problems and provides improvement suggestions.

[0024] In this embodiment, anesthesia management: The physiological signals of the animal (such as electroencephalogram, heart rate variability, etc.) are monitored in real time through sensors. Combining with the image information such as the color of the animal's mouth and nose collected by the camera, an AI algorithm is used to evaluate the anesthesia depth of the animal. If the anesthesia depth is too high or too low, the system displays a prompt message on the display screen and prompts the experimenter to adjust the anesthesia dose through voice, such as "The anesthesia depth is too high, and the animal may have asphyxia. Please adjust."

[0025] Respiratory management: According to the physiological parameters of the animal (such as weight, age, type of experiment) and the respiratory data monitored in real time (such as tidal volume, respiratory rate), the system automatically adjusts the parameters of the ventilator using an intelligent control algorithm to ensure normal ventilation of the animal. At the same time, the system prompts the respiratory status through voice, such as "The respiratory rate is too low, and it is being adjusted", so that the experimenter can timely understand the respiratory condition of the animal.

[0026] Physiological index monitoring: Various sensors collect the physiological index data of the animal such as heart rate, blood pressure, and respiration in real time, and transmit the data to the system for analysis. When abnormal physiological indexes are detected, the system immediately issues an alarm, prominently displays the abnormal indexes on the display screen, and prompts the experimenter through voice, such as "The heart rate is abnormal. Please check the animal's condition."

[0027] Intelligent control of the experimental target state maintenance module: The user can adjust the life support parameters through voice commands, such as saying "Increase the tidal volume by 10%". After receiving the command, the system automatically adjusts the tidal volume parameter of the ventilator. The gesture recognition module recognizes the user's gesture actions. For example, when it detects the action of the user sliding a finger, the system adjusts parameters such as the respiratory rate according to the sliding direction and amplitude.

[0028] Determination of injection position and drug absorption: The image of the injection site of the animal is collected by the camera, and an image recognition algorithm is used to judge whether the injection position is correct and analyze the absorption of the anesthetic drug. The system combines the image analysis results and the physiological reactions of the animal, and prompts the anesthesia state through voice, such as "The injection position is correct, but there is a leakage situation", "The muscle tension of the animal is too high, and the anesthesia dose needs to be increased", to provide operation guidance for the experimenter. The voice recognition module receives the user's voice command, such as "Start collecting data". The system starts the data collection function according to the command. The gesture recognition module recognizes the user's waving action during the data collection process and uses it as an instruction to start or stop data collection, realizing convenient data collection control.

[0029] Animal Welfare Assessment: Physiological data (such as heart rate, blood pressure, blood oxygen saturation) and behavioral data (such as activity level, posture changes) of animals are monitored in real time through sensors, and an AI algorithm is used to evaluate the animal welfare level. Based on the evaluation results, the system gives voice prompts about the welfare status, such as "Animal welfare is normal, no intervention is needed". Users can query the animal welfare status through voice commands. For example, by saying "Check animal welfare", the system immediately conducts a welfare assessment and feeds back the assessment results through voice and the display screen. The gesture recognition module recognizes the action of the user sliding a finger to realize the switching and viewing of welfare reports, which is convenient for experimenters to understand the detailed information of animal welfare.

[0030] Ethical Review Suggestions: The system has a built-in database of ethical standards for experimental procedures, which automatically checks whether the current experimental procedure meets ethical requirements. If it is found that the experimental procedure does not meet ethical standards, the system displays the specific problems on the display screen and provides improvement suggestions to help experimenters optimize the experimental plan.

[0031] In some embodiments, the real-time data analysis includes the following steps: The system uses an AI algorithm to perform real-time analysis on the collected experimental data, extracts data features, compares them with a preset standard data model, and obtains an analysis result. The generation of the experimental report includes the following steps: After the experiment is completed, the system automatically generates a standardized experimental report based on the data records during the experiment.

[0032] In this embodiment, real-time data analysis: The system uses an AI algorithm to perform real-time analysis on the collected experimental data, extracts data features, compares them with a preset standard data model, and provides a preliminary analysis result. For example, when analyzing heart rate data, the system determines whether the heart rate change is significant and gives voice prompts to the experimenter, such as "Data analysis completed, significant heart rate change".

[0033] Generation of the experimental report: After the experiment is completed, the system automatically generates a standardized experimental report based on the data records during the experiment (including experimental methods, experimental parameters, collected biological signal data, analysis results, etc.). The report content covers parts such as the experimental purpose, experimental methods, experimental results, and conclusions, and is typeset according to academic norms. The system gives voice prompts about the report generation status, such as "The experimental report has been generated, please check", which is convenient for experimenters to obtain the report.

[0034] Intelligent control of the experimental data automatic analysis module: The user starts data analysis through a voice command, such as saying "Start analyzing data", and the system immediately calls the AI algorithm for data processing. The gesture recognition module recognizes the user's fist-clenching action to realize the screenshot and saving of the analysis results; it recognizes the action of the user opening the fingers after clenching the fist to transmit the data of this device to another device, which is convenient for data sharing and comparative analysis.

[0035] Local control: The system integrates voice and gesture control functions, enabling users to control device hardware through voice commands. For example, by saying commands such as "Start the anesthesia machine" or "Adjust the breathing rate", the system parses the commands and sends them to the corresponding devices for control. The gesture recognition module recognizes the user's waving motion, and the system, based on the preset motion definitions, realizes operations such as adjusting the height of the experimental bench. For example, waving the hand to raise the experimental bench during the experiment preparation stage.

[0036] Remote control: Develop a mobile application. Users connect to the wireless network through mobile devices such as mobile phones or tablets and log in to the remote control interface of the system. On the remote control interface, users can view the operating status of the experimental equipment, the physiological data of the animals, and the progress of the experiment in real time. At the same time, users can send control commands through the mobile application to achieve remote monitoring and control of the equipment, such as remotely adjusting the anesthesia dose, starting data collection, etc.

[0037] In some embodiments, when the system is working, it includes the following steps: During the experiment preparation stage, the experimenter places the experimental target on the experimental bench. The system automatically starts the experiment preparation module to identify the animal category, measure the weight, and preset the experimental parameters. At the same time, it detects the status of each module and adjusts the experimental environment. During the experiment execution stage, the experimental target status maintenance module monitors and adjusts the physiological state parameters of the experimental target in real time; the system monitors and gives prompts for the experimental operations in real time; the experimental data automatic analysis module collects and analyzes the experimental data in real time. The experimenter optimizes the control commands based on the real-time feedback analysis results. During the experiment end stage, after the experiment is completed, evaluate the animal welfare level and check the ethical compliance of the experimental procedure; the experimental data automatic analysis module generates an experimental report. The physiological state parameters include the anesthesia depth, breathing state, etc. of the animal. The experimenter can view the experimental report, save data, etc. through voice or gesture.

[0038] In this embodiment, the experimenter can perform auxiliary operations through voice or gesture to complete the preparation work.

[0039] The above is only the preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications, and environments, and can be changed within the scope of the concept described herein through the above teachings or the technology or knowledge in related fields. And any changes and modifications made by those skilled in the art without departing from the spirit and scope of the present invention shall fall within the protection scope of the appended claims of the present invention.

Claims

1. An intelligent AI biological signal acquisition and analysis system, characterized in that: Including: An experimental preparation module for animal category determination and parameter presetting, module status detection, and environmental setting; An experimental target status maintenance module for anesthesia management, respiratory management, physiological index monitoring, injection position and drug absorption determination, animal welfare assessment, and ethical review suggestions; An experimental data automatic analysis module for real-time data analysis and experimental report generation; A voice and gesture recognition module for receiving users' voice commands and gesture commands to intelligently control each module; A remote control module for users to remotely monitor each module through a mobile terminal.

2. The intelligent AI biological signal acquisition and analysis system according to claim 1, wherein: The animal category determination and parameter presetting include the following steps: Using image recognition methods and machine learning algorithms to identify the category of the experimental target placed on the experimental table; Measuring the body weight through a pressure sensor, and combining the animal category and body weight data to automatically query the preset parameter database to determine the anesthesia dose, respiratory rate, and sampling parameters, and sending them to the experimental equipment for presetting; The module status detection includes the following steps: When the system starts, automatically send a detection command to the experimental equipment, receive the status information returned by the experimental equipment, judge whether each module is working properly. If a device failure occurs, display the failure information and send a maintenance notice; The environmental setting includes the following steps: When the system starts, automatically turn on the laboratory lights, collect the height information of the experimental personnel through a camera, and control the electric lifting device of the experimental table to adjust the tabletop height according to the height information.

3. The intelligent AI biological signal acquisition and analysis system according to claim 1, wherein: The anesthesia management includes the following steps: Real-time monitor the physiological signals of the experimental target through sensors, combine the animal image information collected by the camera, use AI algorithms to evaluate the anesthesia depth of the experimental target, and prompt the experimental personnel to make adjustments according to the evaluation results; The respiratory management includes the following steps: According to the physiological parameters of the experimental target and the real-time monitored respiratory data, use intelligent control algorithms to automatically adjust the parameters of the ventilator and prompt the respiratory status at the same time; The physiological index monitoring includes the following steps: Use various sensors to collect the physiological index data of the experimental target in real time and analyze it. When abnormal physiological indexes are detected, the system issues an alarm, highlights the abnormal indexes, and prompts the experimental personnel; The injection position and drug absorption determination includes the following steps: Use a camera to collect the image of the injection site of the experimental target, judge whether the injection position is correct through image recognition algorithms, and analyze the absorption of the anesthetic drug; The system combines the image analysis results and the animal's physiological response to prompt the anesthesia state and guide the experimental personnel to operate; The animal welfare assessment includes the following steps: Real-time monitor the physiological data and behavior data of the experimental target through sensors, use AI algorithms to evaluate the animal welfare level of the experimental target, and the system prompts the animal welfare status according to the evaluation results; The ethical review suggestions include the following steps: According to the built-in experimental process ethical standard database of the system, automatically check whether the current experimental process meets the ethical requirements. If it is found that the experimental process does not meet the ethical standards, the system displays the specific problems and provides improvement suggestions.

4. The intelligent AI biological signal acquisition and analysis system according to claim 1, characterized in that: The real-time data analysis includes the following steps: The system uses AI algorithms to analyze the collected experimental data in real time, extract data features and compare them with the preset standard data model to obtain the analysis results; The generation of the experimental report includes the following steps: After the experiment ends, the system automatically generates a standardized experimental report based on the data records during the experiment.

5. The intelligent AI biological signal acquisition and analysis system according to any one of claims 1-4, characterized in that: When the system is working, it includes the following steps: In the experimental preparation stage, the experimenter places the experimental target on the experimental table. The system automatically starts the experimental preparation module to identify the animal category, measure the weight and preset the experimental parameters, and at the same time detect the status of each module and adjust the experimental environment; In the experimental progress stage, the experimental target status maintenance module monitors and adjusts the physiological state parameters of the experimental target in real time; the system monitors and prompts the experimental operations in real time; the experimental data automatic analysis module collects and analyzes the experimental data in real time, and the experimenter optimizes the control instructions according to the real-time feedback analysis results; In the experimental end stage, after the experiment is completed, the animal welfare level is evaluated, and the ethical compliance of the experimental process is checked; the experimental data automatic analysis module generates an experimental report.

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