Modular intelligent laboratory system

Abstract

The invention discloses a modularized intelligent laboratory system which comprises at least one experiment unit with independent functions and a suspension type central carrying system arranged above the experiment unit space. The system comprises a suspension type central carrying mechanical arm, an in-unit suspension type mechanical arm, a standardized interface, a container and a software and control system. The suspension type central carrying mechanical arm is installed on the sliding rail layout and provided with a quick-change connector and a vertical lifting mechanism, and cross-unit object carrying is completed. The in-unit suspension type mechanical arm adopts a modular design and integrates various experimental tools. And the standardized interface and the container are uniformly designed and are provided with automatic identification marks. The software and control system integrates a scheduling algorithm and a laboratory brain, multi-mechanical-arm collaborative scheduling and task sorting are achieved, and meanwhile experimental process monitoring, data analysis and virtual space real-time mirror image construction are completed. According to the scheme, whole-process automation and intelligent scheduling are realized, the experiment efficiency and consistency are improved, the risk is reduced, and the compatibility and flexibility are enhanced.

Description

Technical Field

[0001] This invention relates to the field of intelligent laboratory automation technology, and more specifically, to a modular intelligent laboratory system. Background Technology

[0002] With the rapid development of intelligent manufacturing and biotechnology, the demand for high-throughput and highly complex experiments is increasing daily. Traditional laboratories rely heavily on manual labor to complete a series of operations such as reagent preparation, sample transfer, and reaction monitoring. This is not only inefficient but also prone to inaccurate and reproducible results due to accidental human errors. Especially in special environments such as biosafety laboratories, manual performance of high-risk, repetitive tasks brings significant operational risks and management challenges. Existing automation solutions, such as fixed robotic arms, often suffer from insufficient flexibility, limited workspace, and difficulties in coordinating multiple devices, making it difficult to adapt to dynamically changing experimental processes and diverse experimental scales.

[0003] Currently, although robotic arm technology is relatively mature, its deep integration into laboratory environments still faces many bottlenecks. Existing systems generally lack a unified modular architecture and standardized interfaces, leading to communication barriers between devices from different manufacturers, high integration costs, and poor scalability. Simultaneously, most systems have limited intelligence, lacking capabilities in task scheduling, data analysis, process optimization, and safety monitoring, and failing to achieve fully autonomous decision-making and real-time dynamic adjustments throughout the experimental process. Furthermore, the integration of advanced technologies such as virtual simulation and digital twins with physical laboratory operations is not yet deep enough, failing to effectively construct an integrated intelligent experimental platform that is predictable, optimizable, and remotely precisely controllable. Therefore, there is a need to develop a new type of laboratory system that combines high automation, flexible modularity, and deep intelligence. Summary of the Invention

[0004] In view of the above-mentioned technical problems in related technologies, the present invention proposes a modular intelligent laboratory system that can overcome the above-mentioned shortcomings of the prior art.

[0005] To achieve the above-mentioned technical objectives, the technical solution of the present invention is implemented as follows: A modular intelligent laboratory system; This modular intelligent laboratory system includes: At least one functionally independent experimental unit; A suspended central transport system positioned above the space of the experimental unit is used to transport items between all experimental units; The suspended central handling system includes a suspended central handling robotic arm, a suspended robotic arm within a unit, standardized interfaces and containers, and software and control systems. The suspended central handling robotic arm is mounted on a slide rail layout and is equipped with a quick-change connector and a vertical lifting mechanism. The suspended robotic arm within the unit adopts a modular design and integrates experimental tools. The standardized interface and container adopt a unified design and are equipped with automatic identification tags; The software and control system includes a scheduling algorithm and a laboratory brain. The scheduling algorithm is used to realize the collaborative scheduling and task sequencing of multiple robotic arms, and the laboratory brain is used to monitor the experimental process, analyze data, and build a real-time mirror of the laboratory in virtual space.

[0006] Furthermore, the slide rail layout of the suspended central handling robotic arm is cross-shaped, grid-shaped, or ring-shaped; the vertical lifting mechanism is driven by a lead screw or hydraulic system.

[0007] Furthermore, the suspended central handling robotic arm is made of high-strength, lightweight materials and is equipped with an adaptive load balancing algorithm and multi-sensor fusion technology.

[0008] Furthermore, the suspended robotic arm within the unit integrates a vision recognition system for automatically identifying the position and status of the sample container.

[0009] Furthermore, the standardized interface and the container surface are provided with QR codes and RFID tags; the container material is a corrosion-resistant and high-temperature-resistant polymer.

[0010] Furthermore, the scheduling algorithm is based on a reinforcement learning model to dynamically optimize task allocation and path planning; the laboratory brain adopts a distributed computing architecture that supports edge computing and cloud computing collaboration.

[0011] Furthermore, the experimental unit is equipped with an experimental equipment area and a sample storage area. The experimental equipment area is equipped with experimental equipment that supports the Internet of Things, and the sample storage area is equipped with standardized sample racks.

[0012] Furthermore, the experimental unit is equipped with a touch screen on the wall to display experimental instructions and real-time data; the laboratory brain system supports remote control functions via the Internet and connection to a remote terminal.

[0013] Furthermore, it also includes an environmental monitoring module and an experimental waste collection system; the environmental monitoring module includes a temperature sensor, a humidity sensor, and a gas detection sensor, which are connected to the laboratory brain; the experimental waste collection system is used to collect waste generated during the experiment.

[0014] Furthermore, the laboratory brain integrates artificial intelligence and machine learning algorithms for analyzing historical experimental data and recommending or adjusting experimental parameters; it also integrates a predictive maintenance module based on LSTM neural networks; and integrates infrared thermal imaging, acoustic and electronic nose sensors for safety monitoring, and is equipped with an emergency response module.

[0015] The beneficial effects of this invention are as follows: By constructing a modular architecture based on a suspended robotic arm and integrating a unified software control system, the laboratory can achieve fully automated operation and intelligent resource scheduling, thereby significantly improving experimental efficiency and result consistency; by utilizing virtual space mapping and advanced algorithms to monitor, simulate, optimize, and predictively maintain the experimental process in real time, the system can enhance process controllability, reduce operational risks, and promote data-driven scientific research decision-making; and by adopting standardized interfaces and an environmental sensing network, the system possesses good equipment compatibility, layout flexibility, and security and reliability, ultimately meeting the requirements of adapting to various experimental scales and complex application scenarios. Detailed Implementation

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below. 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.

[0017] A modular intelligent laboratory system according to an embodiment of the present invention includes: At least one functionally independent experimental unit; A suspended central transport system positioned above the space of the experimental unit is used to transport items between all experimental units; The suspended central handling system includes a suspended central handling robotic arm, a suspended robotic arm within a unit, standardized interfaces and containers, and software and control systems. The suspended central handling robotic arm is mounted on a slide rail layout and is equipped with a quick-change connector and a vertical lifting mechanism. The suspended robotic arm within the unit adopts a modular design and integrates experimental tools. The standardized interface and container adopt a unified design and are equipped with automatic identification tags; The software and control system includes a scheduling algorithm and a laboratory brain. The scheduling algorithm is used to realize the collaborative scheduling and task sequencing of multiple robotic arms, and the laboratory brain is used to monitor the experimental process, analyze data, and build a real-time mirror of the laboratory in virtual space.

[0018] According to an embodiment of the present invention, in a specific embodiment of a modular intelligent laboratory system, the slide rail layout of the suspended central handling robotic arm is cross-shaped, grid-shaped, or ring-shaped; the vertical lifting mechanism is driven by a lead screw or hydraulic system.

[0019] According to an embodiment of the present invention, a modular intelligent laboratory system is provided. In a specific embodiment, the suspended central handling robotic arm is made of high-strength lightweight materials and is equipped with an adaptive load balancing algorithm and multi-sensor fusion technology.

[0020] According to an embodiment of the present invention, a modular intelligent laboratory system is provided, in a specific embodiment, in which the suspended robotic arm within the unit integrates a vision recognition system for automatically identifying the position and status of sample containers.

[0021] According to an embodiment of the present invention, a modular intelligent laboratory system is provided, in a specific embodiment, with QR codes and RFID tags provided on the standardized interface and the surface of the container; the container material is a corrosion-resistant and high-temperature-resistant polymer.

[0022] According to an embodiment of the present invention, a modular intelligent laboratory system is provided. In a specific embodiment, the scheduling algorithm is based on a reinforcement learning model to dynamically optimize task allocation and path planning; the laboratory brain adopts a distributed computing architecture and supports edge computing and cloud computing collaboration.

[0023] According to an embodiment of the present invention, a modular intelligent laboratory system is provided. In a specific embodiment, the experimental unit is provided with an experimental equipment area and a sample storage area. The experimental equipment area is equipped with experimental equipment that supports the Internet of Things, and the sample storage area is provided with standardized sample racks.

[0024] According to an embodiment of the present invention, a modular intelligent laboratory system is provided, in a specific embodiment, a touch screen is provided on the wall of the experimental unit for displaying experimental instructions and real-time data; the laboratory brain system supports remote control functions connected to a remote terminal via the Internet.

[0025] According to an embodiment of the present invention, a modular intelligent laboratory system further includes an environmental monitoring module and an experimental waste collection system in a specific embodiment; the environmental monitoring module includes a temperature sensor, a humidity sensor, and a gas detection sensor, which are connected to the laboratory brain; the experimental waste collection system is used to collect waste generated during the experiment.

[0026] According to an embodiment of the present invention, a modular intelligent laboratory system is provided. In a specific embodiment, the laboratory brain integrates artificial intelligence and machine learning algorithms for analyzing historical experimental data and recommending or adjusting experimental parameters; it integrates a predictive maintenance module based on LSTM neural networks; and it integrates infrared thermal imaging, acoustic and electronic nose sensors for safety monitoring, and is equipped with an emergency response module.

[0027] To facilitate understanding of the above technical solutions of the present invention, the following detailed description of the above technical solutions of the present invention will be provided through specific usage methods.

[0028] In practical use, the modular intelligent laboratory system according to the present invention includes at least one functionally independent experimental unit and a suspended central transport system located above the space, serving all units. The system also integrates an environmental monitoring module, including temperature sensors, humidity sensors, and gas detection sensors. These sensors are connected to the laboratory's central control system to achieve real-time monitoring and automatic adjustment of the experimental environment.

[0029] The suspended central handling system includes a suspended central handling robotic arm, intra-unit suspended robotic arms, standardized interfaces and containers, and software and control systems. The suspended central handling robotic arm is manufactured using high-strength, lightweight materials (such as carbon fiber composites). Its slide rail system is equipped with high-precision servo motors and encoders, enabling smooth movement and precise positioning with a repeatability error of less than ±0.5mm. It also incorporates an adaptive load balancing algorithm and multi-sensor fusion technology. The former dynamically adjusts the output in real time based on load weight and center of gravity changes to offset the impact of load fluctuations on operational stability. The latter integrates data from force sensors, position sensors, and vision sensors to comprehensively perceive the operating status, correcting minor deviations and further reducing stability errors.

[0030] The suspended central handling robotic arm employs a cross-shaped, grid-shaped, or circular slide rail layout, and is equipped with a quick-connect and locking mechanism, an anti-sway design, and a vertical lifting mechanism to achieve vertical transfer of items between multiple floors. The robotic arm is equipped with multiple quick-change connectors, enabling switching between various experimental tools. The anti-sway design utilizes an active damping control system, adjusting the robotic arm's movement through real-time feedback to reduce load sway. The vertical lifting mechanism is driven by a lead screw or hydraulic system, supporting a maximum load of 20 kg, with an adjustable lifting speed range of 0.1-1 m / s.

[0031] The intra-unit suspended robotic arm adopts a modular design, resulting in a compact and highly precise structure, specifically suited for experimental units with limited space. This robotic arm integrates multiple experimental tools such as pipettes, grippers, and sensors, with function switching achieved through quick-change connectors. The intra-unit suspended robotic arm also integrates a visual recognition system (such as a CCD camera and deep learning algorithms) for automatically identifying the position and status of sample containers, improving operational accuracy and fault tolerance.

[0032] The standardized interface and container adopt a unified design, including QR codes and RFID tags for identifying experimental content and procedures. This interface can be automatically identified and docked with the central robotic arm, intra-unit robotic arms, and all experimental equipment. The standardized interface also supports wireless communication protocols (such as Wi-Fi or Bluetooth) to achieve real-time data exchange with the laboratory's central control system. The container material is made of corrosion-resistant and high-temperature-resistant polymers, suitable for various chemical and biological experimental environments.

[0033] The software and control system includes a scheduling algorithm and a laboratory brain. The scheduling algorithm is responsible for the coordinated scheduling of multiple robotic arms and the prioritization of tasks, enabling efficient allocation of laboratory resources. The laboratory brain connects to each experimental unit through hardware interfaces, enabling real-time monitoring and data analysis of the experimental process, and constructing a real-time mirror of the laboratory in virtual space to simulate, monitor, and optimize the experimental process. The scheduling algorithm is based on a reinforcement learning model. It dynamically optimizes task allocation and path planning by introducing a federated learning framework to construct a distributed reinforcement learning system. Each robotic arm acts as a local client, independently completing local data training and only uploading model parameters to participate in global policy aggregation. While protecting the privacy of equipment operation data, it achieves multi-node collaborative evolution, improving the consistency and adaptability of group decision-making. It integrates a multi-objective optimization model, incorporating core indicators such as task completion time, energy consumption cost, and equipment wear into a unified decision framework. By dynamically adjusting the weights of each objective (e.g., prioritizing timeliness during peak hours and focusing on energy consumption optimization during off-peak hours), and combining Pareto optimal solutions, it generates flexible scheduling schemes adapted to various scenarios. Simultaneously, it embeds a meta-learning mechanism, enabling the algorithm to extract general policy templates from historical tasks. When facing unknown scenarios such as new workpiece types and temporary workstation adjustments, it can quickly adapt with a small number of samples, shortening the policy iteration cycle and further enhancing its self-optimization capabilities in dynamic environments. The laboratory brain adopts a distributed computing architecture, supporting edge computing and cloud computing collaboration to achieve big data processing and real-time response.

[0034] The experimental unit is divided into an experimental equipment area and a sample storage area. The experimental equipment area is equipped with incubators, centrifuges, and other equipment. The sample storage area is equipped with standardized sample racks for storing experimental samples. The experimental equipment area also integrates intelligent devices (such as intelligent centrifuges and incubators supporting the Internet of Things). These devices communicate with the laboratory's central control system through standardized interfaces to achieve automatic parameter setting and status monitoring.

[0035] The experimental unit is equipped with a touch screen display on the wall for displaying experimental instructions and real-time data. The workbench inside the unit faces centrally for easy robotic arm operation. The touch screen supports multilingual interfaces and gesture controls, and integrates a voice assistant function for convenient interaction by experimental personnel. The workbench surface is made of anti-static and chemically resistant materials to ensure experimental safety.

[0036] The laboratory's central control system supports remote control, connecting to remote terminals via the internet to enable remote monitoring and management of the laboratory. Researchers can view experimental progress and issue commands in real time through the remote terminal. The remote control function employs encrypted communication protocols (such as TLS / SSL) to ensure data security; it also supports a virtual reality (VR) interface, allowing researchers to immerse themselves in and operate a virtual laboratory environment using VR devices.

[0037] The system also includes an experimental waste collection system for collecting waste generated during experiments, with a dedicated waste disposal area. Data generated during the experiments is stored in real-time on a data server, supporting remote download and analysis. The waste collection system integrates intelligent sorting and compression functions, using sensors to identify waste types and automatically sort them; the data server employs redundant backup and distributed storage technology to ensure data reliability and scalability.

[0038] Example 1: This invention provides a modular intelligent laboratory system, comprising a functionally independent experimental unit, a suspended central transport system serving all units, and a software and control system.

[0039] The suspended central handling system includes a suspended central handling robotic arm, an intra-unit suspended robotic arm, standardized interfaces and containers, and software and control systems.

[0040] The suspended central handling robotic arm adopts a cross-shaped slide rail layout and is equipped with a quick docking and locking mechanism, an anti-sway design, and a vertical lifting mechanism to realize the vertical transfer of items between multiple floors. The robotic arm is equipped with four quick-change connectors, which can realize the function switching of various experimental tools such as pipettes, grippers, and sensors.

[0041] The suspended robotic arm within the unit adopts a modular design, with structural dimensions of 200mm×200mm×300mm, a weight of 5kg, and an accuracy of ±0.1mm. This robotic arm integrates various experimental tools such as a pipette, gripper, and temperature sensor, and its functions can be switched via quick-connect couplings.

[0042] The standardized interface and container adopt a unified design, with dimensions of 300mm × 200mm × 150mm. The surface is equipped with QR codes and RFID tags for identifying experimental content and steps. This interface can be automatically identified and docked with the central robotic arm, intra-unit robotic arms, and all experimental equipment.

[0043] The software and control system includes a scheduling algorithm and a laboratory brain. The scheduling algorithm is responsible for the coordinated scheduling of multiple robotic arms and the prioritization of tasks, enabling efficient allocation of laboratory resources. The laboratory brain, based on an industrial-grade PC equipped with 16GB of memory and a 4TB hard drive, enables real-time monitoring and data analysis of the experimental process, and constructs a real-time mirror of the laboratory in a virtual space to simulate, monitor, and optimize the experimental process.

[0044] The experimental unit is divided into an experimental equipment area and a sample storage area. The experimental equipment area is equipped with equipment such as a CO2 incubator and a high-speed centrifuge. The sample storage area is equipped with standardized sample racks for storing biological samples used in the experiments.

[0045] The experimental unit is equipped with a 10-inch touchscreen display on the wall for displaying experimental instructions and real-time data. The workbench inside the experimental unit is centered for easy operation by the robotic arm.

[0046] The laboratory's central control system supports remote control, connecting to remote terminals via a 4G network to enable remote monitoring and management of the laboratory. Researchers can view the experimental progress and issue operational commands in real time through the remote terminal.

[0047] The system also includes an experimental waste collection system for collecting waste generated during experiments, and has a separate waste disposal area. Data generated during the experiment is stored in real-time on a NAS server, supporting remote download and analysis.

[0048] In this embodiment, the system also adds an environmental monitoring sensor network to monitor the temperature, humidity and VOC (volatile organic compound) concentration in the experimental unit in real time. The data is analyzed by the laboratory brain and automatically triggers ventilation or alarms.

[0049] Example 2: This invention provides a modular intelligent laboratory system, comprising two functionally independent experimental units, a suspended central transport system serving all units, and a software and control system.

[0050] The suspended central handling system includes a suspended central handling robotic arm, an intra-unit suspended robotic arm, standardized interfaces and containers, and software and control systems.

[0051] The suspended central handling robotic arm adopts a grid-shaped slide rail layout and is equipped with a quick docking and locking mechanism, an anti-sway design, and a vertical lifting mechanism to realize the vertical transfer of items between multiple floors. The robotic arm is equipped with 6 quick-change connectors, which can realize the function switching of various experimental tools such as pipettes, grippers, sensors, and solution sprayers.

[0052] The suspended robotic arm within the unit adopts a modular design, with structural dimensions of 150mm×150mm×250mm, a weight of 3kg, and an accuracy of ±0.05mm. This robotic arm integrates various experimental tools such as a pipette, gripper, temperature sensor, and pH sensor, and its functions can be switched via quick-connect couplings.

[0053] The standardized interface and container adopt a unified design, with dimensions of 400mm × 300mm × 200mm. The surface is equipped with QR codes and RFID tags for identifying experimental content and steps. This interface can be automatically identified and docked with the central robotic arm, intra-unit robotic arms, and all experimental equipment.

[0054] The software and control system includes a scheduling algorithm and a laboratory brain. The scheduling algorithm is responsible for the coordinated scheduling of multiple robotic arms and the prioritization of tasks, enabling efficient allocation of laboratory resources. The laboratory brain, with an industrial-grade server at its core, equipped with 32GB of memory and an 8TB hard drive, enables real-time monitoring and data analysis of the experimental process, and constructs a real-time mirror of the laboratory in virtual space to simulate, monitor, and optimize the experimental process.

[0055] The experimental unit is divided into an experimental equipment area and a sample storage area. The experimental equipment area is equipped with equipment such as an ultra-low temperature incubator and a high-speed refrigerated centrifuge. The sample storage area is equipped with standardized sample racks for storing biological samples used in the experiments.

[0056] The experimental unit is equipped with a 15-inch touchscreen display on the wall for displaying experimental instructions and real-time data. The workbench inside the experimental unit is centered for easy operation by the robotic arm.

[0057] The laboratory's central control system supports remote control, connecting to remote terminals via a 5G network to enable remote monitoring and management of the laboratory. Researchers can view the experimental progress and issue operational commands in real time through the remote terminal.

[0058] The system also includes an experimental waste collection system for collecting waste generated during experiments, and has a dedicated waste disposal area. Data generated during the experiment is stored in real-time in a distributed storage system, supporting remote download and analysis.

[0059] In this embodiment, the system further integrates an AI-powered predictive maintenance module. By analyzing robotic arm motion data and equipment operating status, it predicts potential faults and provides early warnings, reducing downtime. Simultaneously, the laboratory brain uses blockchain technology to record experimental data, ensuring data immutability and traceability.

[0060] In summary, by utilizing the technical solutions described above in this invention, and by constructing a modular architecture based on a suspended robotic arm and integrating a unified software control system, the laboratory can achieve fully automated operation and intelligent resource scheduling, thereby significantly improving experimental efficiency and result consistency. Furthermore, by employing virtual space mapping and advanced algorithms for real-time monitoring, simulation optimization, and predictive maintenance of the experimental process, the system enhances process controllability, reduces operational risks, and promotes data-driven scientific research decision-making. Finally, by adopting standardized interfaces and an environmental awareness network, the system possesses excellent equipment compatibility, layout flexibility, and security and reliability, ultimately meeting the requirements for adapting to various experimental scales and complex application scenarios.

[0061] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A modular intelligent laboratory system, characterized in that, include: At least one functionally independent experimental unit; A suspended central transport system positioned above the space of the experimental unit is used to transport items between all experimental units; The suspended central handling system includes a suspended central handling robotic arm, a suspended robotic arm within a unit, standardized interfaces and containers, and software and control systems. The suspended central handling robotic arm is mounted on a slide rail layout and is equipped with a quick-change connector and a vertical lifting mechanism. The suspended robotic arm within the unit adopts a modular design and integrates experimental tools. The standardized interface and container adopt a unified design and are equipped with automatic identification tags; The software and control system includes a scheduling algorithm and a laboratory brain. The scheduling algorithm is used to realize the collaborative scheduling and task sequencing of multiple robotic arms, and the laboratory brain is used to monitor the experimental process, analyze data, and build a real-time mirror of the laboratory in virtual space.

2. The modular intelligent laboratory system according to claim 1, characterized in that, The slide rails of the suspended central handling robotic arm are arranged in a cross shape, a grid shape, or a ring shape; the vertical lifting mechanism is driven by a lead screw or hydraulic system.

3. The modular intelligent laboratory system according to claim 1, characterized in that, The suspended central handling robotic arm is made of high-strength, lightweight materials and is equipped with an adaptive load balancing algorithm and multi-sensor fusion technology.

4. The modular intelligent laboratory system according to claim 1, characterized in that, The suspended robotic arm within the unit integrates a vision recognition system for automatically identifying the position and status of the sample container.

5. A modular intelligent laboratory system according to claim 1, characterized in that, The standardized interface and the container surface are equipped with QR codes and RFID tags; the container material is a corrosion-resistant and high-temperature-resistant polymer.

6. The modular intelligent laboratory system according to claim 1, characterized in that, The scheduling algorithm is based on a reinforcement learning model and dynamically optimizes task allocation and path planning; the laboratory brain adopts a distributed computing architecture and supports edge computing and cloud computing collaboration.

7. A modular intelligent laboratory system according to claim 1, characterized in that, The experimental unit is equipped with an experimental equipment area and a sample storage area. The experimental equipment area is equipped with experimental equipment that supports the Internet of Things, and the sample storage area is equipped with standardized sample racks.

8. A modular intelligent laboratory system according to claim 1, characterized in that, The experimental unit is equipped with a touch screen on the wall to display experimental instructions and real-time data; the laboratory brain system supports remote control via the Internet and connection to a remote terminal.

9. A modular intelligent laboratory system according to claim 1, characterized in that, It also includes an environmental monitoring module and an experimental waste collection system; the environmental monitoring module includes a temperature sensor, a humidity sensor and a gas detection sensor, which are connected to the laboratory brain; the experimental waste collection system is used to collect waste generated during the experiment.

10. A modular intelligent laboratory system according to claim 1, characterized in that, The laboratory brain integrates artificial intelligence and machine learning algorithms to analyze historical experimental data and recommend or adjust experimental parameters; it also integrates a predictive maintenance module based on LSTM neural networks; and integrates infrared thermal imaging, acoustic and electronic nose sensors for safety monitoring, and is equipped with an emergency response module.