Smart medical platform based on big data

By introducing a smart medical platform based on big data in medical training, and using the combination model of AI teaching robots and training operation tables, the problems of time and venue limitations and limited training effects of existing medical training methods are solved, and the flexibility and efficiency of training are achieved.

CN119763398APending Publication Date: 2025-04-04WENZHOU DATA GRP CO LTD
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Patent Information

Application Number
CN202510108695.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-23
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The existing medical training methods have problems such as time and venue limitations, limited training results, and incomplete compatibility of the training theme with actual needs.

Method used

It provides a smart medical platform based on big data, including AI teaching robots and training operating tables. AI teaching robots have on-site teaching modes and combined teaching modes, which can intelligently conduct teaching based on medical scenarios and be used in combination with training operating tables to achieve real-time correction through simulation modules and action cameras.

Benefits of technology

It realizes the flexibility of training time and venue, improves the pertinence and effectiveness of training, reduces the time and transportation costs of medical staff, and meets the training needs of different medical scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to a smart medical platform based on big data, including an AI teaching robot and a training console, the AI ​​teaching robot including a host, a controller, a robot power supply, a network module and a navigation module are arranged in the host, a walking device is arranged below the host, a display and a speaker are arranged in front of the host, an identity recognition camera for identifying the identity of medical staff, a scene camera for scanning medical scenes and an action camera for identifying actions are arranged above the host, the training console is provided with an operation table, a simulation module for simulating different medical scenes is arranged on the operation table, the training console is located below the operation table and is provided with a module warehouse storing multiple simulation modules, the simulation module of the operation table and the simulation module in the module warehouse can be switched, and the AI ​​teaching robot has an on-site teaching mode and a combined teaching mode. Using the above scheme, the present invention provides a smart medical platform based on big data that is intelligently targeted at teaching according to medical scenes.
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Description

Technical Field

[0001] The present invention relates to the field of medical training equipment, and in particular to a smart medical platform based on big data. Background Art

[0002] The medical industry is a knowledge-intensive industry, with technology and medical knowledge constantly updated. With the continuous advancement of medical technology and the growing demand for medical care, medical personnel need to constantly update their knowledge and skills to keep up with the development of the medical frontier. Through continuous training, it can effectively improve the quality of medical services, promote medical scientific research and technological innovation, adapt to market competition and hospital development needs, and promote the professional development and personal growth of medical personnel.

[0003] Common medical training methods generally include special lectures, role-playing scenarios, training-style training, case discussions and drills, etc. All of the above medical training methods have the following disadvantages: ① They require specific time and place, which requires busy medical staff to make time to arrive in advance and spend a lot of time on transportation; ② They often adopt a one-to-many teaching method, and the training effect is limited; ③ The training theme is generally not fully in line with actual needs. Summary of the invention

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a smart medical platform based on big data that conducts intelligent teaching according to medical scenarios.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: including an AI teaching robot and a training console, the AI ​​teaching robot including a host, the host is provided with a controller, a robot power supply, a network module and a navigation module, a walking device is provided below the host, a display and a speaker are provided in front of the host, an identity recognition camera for identifying the identity of medical staff, a scene camera for scanning medical scenes and an action camera for identifying actions are provided above the host, the training console is provided with an operating table, the operating table is provided with simulation modules for simulating different medical scenes, the training console is provided with a module warehouse storing multiple simulation modules below the operating table, the module warehouse is provided with a switching device for switching the simulation modules on the operating table and the simulation modules in the module warehouse, and the AI ​​teaching robot The AI ​​teaching robot has an on-site teaching mode and a combined teaching mode. When the AI ​​teaching robot is in the on-site teaching mode, the walking device arrives at the medical site under the control of the navigation module, confirms the identity of the medical staff through the identity recognition camera and the network module connected to the database, confirms the type of medical scene through the scene camera and the network module connected to the AI ​​engine and the big data engine, and plays the required teaching video to the medical staff; when the AI ​​teaching robot is in the combined teaching mode, the walking device arrives at the training console under the control of the navigation module, confirms the identity of the medical staff and the teaching progress through the identity recognition camera and the network module connected to the database, controls the switching device to switch the required simulation module to the operating table, plays the required teaching video to the medical staff, and during the operation of the medical staff, promptly corrects the medical staff's erroneous operation through the action camera and the network module connected to the AI ​​engine.

[0006] By adopting the above technical solution, the control center controls the AI ​​teaching robot to switch between the on-site teaching mode and the combined teaching mode according to actual needs through the network module. When medical staff need training during practical operations at the medical site, they switch to the on-site teaching mode, and the AI ​​teaching robot will move to the medical site, use the existing and mature AI engine and big data engine to judge the personnel and on-site conditions, and play training videos accordingly; when medical staff need training in their spare time, they can go to the classroom or hospital office where the training console is placed nearby, and the AI ​​teaching robot switches to the combined teaching mode and is integrated with the training console. When the medical staff operates the simulation module, the corresponding training video is played. During this period, the medical staff's movements are captured, and the existing and mature AI engine and big data engine are used to judge the personnel and on-site conditions. When errors occur, they are corrected in time, and different simulation modules are replaced by switching devices to make the training program more comprehensive and meet the training needs of different medical staff. The above structure has the following advantages: ① The movable AI teaching robot is not restricted by the venue and the theme, and can be moved to any place according to needs. Different video training can be carried out for different medical scenarios, making the training more targeted and accompanied by the practical process, which makes the medical staff more impressed; ② Combined with the training console to form a more powerful training console, the simulation module simulates the actual scene, and gives timely guidance to optimize the training effect, and provides the possibility of training at any time for medical staff to gather. Compared with traditional training, it reduces the time and transportation costs of medical staff; ③ The training console has a module warehouse, which can call the required simulation modules at any time, making the training scope of a single training console wider. According to practicality and as the training projects change, the simulation modules in the module warehouse can be supplemented or replaced; ④ The training console and the AI ​​teaching robot complement each other in function, making the structure more streamlined, eliminating the increase in manufacturing costs caused by the repeated structure of the AI ​​teaching robot set on the training console.

[0007] The present invention is further configured as follows: a mating cut surface is provided at the rear corner of the module warehouse, a mating plane that fits the mating cut surface is provided in front of the AI ​​teaching robot, the mating cut surface and the mating plane are respectively provided with electrical connection contact pieces that constitute the electrical connection between the AI ​​teaching robot and the training operating table, and the mating cut surface is provided with a mating electromagnet that adsorbs the AI ​​teaching robot.

[0008] By adopting the above technical solution, when the AI ​​teaching robot is adsorbed to the matching section by the matching electromagnet, the AI ​​teaching robot is in a tilted state relative to the medical staff sitting in front of the training console, making it easier for the medical staff to watch the video. At the same time, the scanning range of each camera of the AI ​​teaching robot is wider and the scanning effect is better. In addition, the matching section is also provided with electrical contact pieces for electrically connecting the AI ​​teaching robot and the training console, so that the AI ​​teaching robot can coordinately control the training console while also serving as a charging station to replenish power.

[0009] The present invention is further configured as follows: the simulation module includes a chassis and a human body part model arranged above the chassis, the human body part model is provided with a sensing area, and a simulation rod that cooperates with the sensing area is arranged above the operating table.

[0010] By adopting the above technical solution, you can use your own tools for simulation, or you can use the simulation rod to simulate various surgical instruments. When the simulation rod contacts the sensing area, you can obtain a more accurate operating position, thereby giving medical staff better training guidance. The brightly colored simulation rod is also easier to identify.

[0011] The present invention is further configured as follows: an inductive contact is provided at the front end of the simulation rod, a pressure sensor is provided between the inductive contact and the simulation rod, a gyroscope, a wireless transmission module, an analog power supply and a wireless charging module are provided inside the simulation rod, and the operating table is provided with a wireless charging area that cooperates with the wireless charging module to charge the analog power supply, and the wireless charging area is concave and is provided with an adsorption magnet that adsorbs the simulation rod.

[0012] By adopting the above technical solution, the gyroscope accurately senses the holding posture of the analog rod, and the pressure sensor accurately senses the operating force, so that the system can obtain more comprehensive feedback, and provide better training guidance to medical staff, thereby improving the training effect. In addition, when the analog rod is idle, it will be placed in the wireless charging area for charging, and the adsorption magnet will adsorb it to the concave structure to prevent it from being lost.

[0013] The present invention is further configured as follows: the operating table is provided with a module switching hole, the switching device includes a base, a turntable and a lifting mechanism, the base is located below the turntable and is provided with a turntable motor for driving the turntable to rotate, the turntable is provided with a plurality of vertically penetrating module rotation holes along the rotation direction and used to place simulation modules, the module rotation hole located directly below the module switching hole serves as a lifting position, the lifting mechanism is located below the lifting position and lifts the simulation module located at the lifting position to the module switching hole or lowers the simulation module located at the module switching hole to the lifting position.

[0014] By adopting the above technical solution, the turntable is driven to rotate by the turntable motor, so that different module rotation holes correspond to the switching of module switching holes, thereby realizing the switching correspondence between different simulation modules and module switching holes, and after the simulation module reaches the lifting position, the lifting mechanism performs the lifting action to complete the entire automatic switching process.

[0015] The present invention is further configured as follows: the lifting mechanism includes a lifting platform and a lifting cylinder, the lifting platform is located below the lifting position, the lifting cylinder is located below the lifting platform and drives it to lift, and a module electromagnet for adsorbing the chassis is arranged above the lifting platform.

[0016] By adopting the above technical solution, during the lifting process of the lifting platform, the module electromagnet stably adsorbs the analog module to prevent the analog module from shifting during the lifting process, so that the analog module can stably switch between the lifting position and the module switching hole.

[0017] The present invention is further configured as follows: a limiting step is arranged around the upper end of the module rotation hole, a limiting skirt is arranged around the chassis and is placed on the limiting step, and a limiting groove is arranged around the lower end of the module switching hole and is abutted against the limiting skirt.

[0018] By adopting the above technical solution, the limiting skirt is used to cooperate with the limiting step so that the simulation module can be stably placed in the module rotation hole, and is also used to cooperate with the limiting groove so that the simulation module can operate stably.

[0019] The present invention is further configured as follows: a first power supply contact is arranged on the upper end face of the limiting groove, a second power supply contact is arranged on the circumferential side face, a first conductive strip that abuts against the first power supply contact is circumferentially arranged on the upper end face of the limiting skirt, and a second conductive strip that abuts against the second power supply contact is circumferentially arranged on the circumferential side face.

[0020] By adopting the above technical solution, the first conductive strip cooperates with the first power supply contact piece, and the second conductive strip cooperates with the second power supply contact piece to form the power supply coordination between the training operating table and the simulation module. At the same time, due to the annular structure of the first conductive strip and the second conductive strip, no matter what direction the simulation module is in, the corresponding power supply contact piece can be guaranteed to be in stable contact with the conductive strip, thereby ensuring stable power supply.

[0021] The present invention is further configured as follows: a code is arranged above the chassis, and coding cameras for identifying the code are arranged corresponding to the module compartment and the lifting position.

[0022] By adopting the above technical solution, the encoding camera can quickly identify the code that serves as the identity of the simulation module, making it easy to quickly and accurately retrieve the required simulation module.

[0023] The present invention is further configured as follows: the operating table is provided with an adjustment notch at the edge of the module switching hole, which connects the top of the operating table with the limiting groove; the operating table is provided with an adjustment motor near the adjustment notch; the adjustment motor drives an adjustment roller extending to the adjustment notch; the adjustment roller abuts against the upper end surface of the limiting skirt and drives it to rotate; the operating table is provided with an adjustment knob for controlling the rotation of the adjustment roller.

[0024] By adopting the above technical solution, medical staff can rotate the adjustment knob to start the adjustment motor to drive the adjustment roller to rotate forward and reverse, thereby adjusting the circumferential direction of the simulation module and maintaining it stably after the adjustment is in place, providing medical staff with different operating perspectives, thereby achieving closer operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a three-dimensional picture of the AI ​​teaching robot;

[0026] Figure 2 A three-dimensional diagram of a training operation station;

[0027] Figure 3 This is a schematic diagram of the combination of the AI ​​teaching robot and the training operation table;

[0028] Figure 4 is a stereogram of the simulation module;

[0029] Figure 5 It is a structural diagram of the simulation rod;

[0030] Figure 6 A schematic diagram of the structure of removing the analog module from the module warehouse;

[0031] Figure 7 It is a structural diagram of simulating module lifting;

[0032] Figure 8 for Figure 7 A magnified view of middle;

[0033] Fig. 9 for Figure 3 Enlarged view of B. DETAILED DESCRIPTION

[0034] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0036] like Figure 1 — Fig. 9As shown, the present invention discloses a smart medical platform based on big data, including an AI teaching robot a and a training console b. The AI ​​teaching robot a includes a host 1, in which a controller, a robot power supply, a network module and a navigation module are arranged. The controller, the robot power supply, the network module and the navigation module are integrated into a main board in the host. The structure thereof is not shown in the accompanying drawings, which does not affect the understanding of the structure. A walking device 2 is arranged below the host 1. The walking device 2 is an existing universal roller walking mechanism driven by a motor and adapted to the robot. A display 11 and a speaker 12 are arranged in front of the host 1. An identity recognition camera 13 for identifying the identity of medical staff, a scene camera 14 for scanning medical scenes and an action camera for recognizing actions are arranged above the host 1. 15. The training operation table b is provided with an operation table 3, on which simulation modules 4 simulating different medical scenarios are provided. The training operation table b is provided with a module warehouse 5 storing multiple simulation modules 4 below the operation table 3. The module warehouse 5 is provided with a switching device for switching the simulation modules 4 on the operation table 3 and the simulation modules 4 in the module warehouse 5. The AI ​​teaching robot a has an on-site teaching mode and a combined teaching mode. When the AI ​​teaching robot a is in the on-site teaching mode, the walking device 2 arrives at the medical site under the control of the navigation module, confirms the identity of the medical personnel through the identity recognition camera 13 and the network module connected to the database, confirms the type of medical scenario through the scene camera 14 and the network module connected to the AI ​​engine and the big data engine, and sends a message to the doctor. The medical staff plays the required teaching video; when the AI ​​teaching robot a is in the combined teaching mode, the walking device 2 reaches the training operation table b under the control of the navigation module, confirms the identity of the medical staff and the teaching progress through the identity recognition camera 13 and the network module connected to the database, and controls the switching device to switch the required simulation module 4 to the operation table 3, plays the required teaching video to the medical staff, and corrects the medical staff's erroneous operation actions in time during the medical staff's operation through the action camera 15 and the network module connected to the AI ​​engine. The control center controls the AI ​​teaching robot a to switch between the on-site teaching mode and the combined teaching mode according to actual needs through the network module. When medical staff need training during the actual operation at the medical site, they switch to the on-site teaching mode. mode, the AI ​​teaching robot a will move to the medical site, use the existing and mature AI engine and big data engine to judge the personnel and on-site conditions, and play training videos accordingly; when medical staff need training in their spare time, they can go to the classroom or hospital office where the training console b is placed nearby, and the AI ​​teaching robot a will switch to the combined teaching mode and be integrated with the training console b. When the medical staff operates the simulation module 4, the corresponding training video will be played. During this period, the medical staff's movements will be captured, and the existing and mature AI engine and big data engine will be used to judge the personnel and on-site conditions. When errors occur, they will be corrected in time, and different simulation modules 4 will be replaced by switching devices to make the training program more comprehensive and meet the training needs of different medical staff.The above structure has the following advantages: ① The movable AI teaching robot a is not constrained by the site and the theme, and can be moved to any place according to the needs. Different video training is carried out for different medical scenes, making the training more targeted, and accompanying the practical process, so that the medical staff are more impressed; ② Combined with the training operation table b to form a more powerful training operation table b, the simulation module 4 simulates the actual scene, and gives timely guidance to optimize the training effect, and provides the possibility of training at any time for medical staff to gather. Compared with traditional training, it reduces the time cost and transportation cost of medical staff; ③ The training operation table b has a module warehouse 5, which can call the required simulation module 4 at any time, so that the training scope of a single training operation table b is wider. According to practicality and with the change of training projects, the simulation module 4 in the module warehouse 5 is supplemented or replaced, and 52 is to open the module warehouse 5 and adjust the warehouse door of the simulation module 4; ④ The training operation table b and the AI ​​teaching robot a complement each other in function, making the structure more streamlined, eliminating the increase in manufacturing cost caused by setting the repeated structure of the AI ​​teaching robot a on the training operation table b.

[0037] A matching section 51 is provided at the rear corner of the module compartment 5, and a matching plane 16 that is in contact with the matching section 51 is provided in front of the AI ​​teaching robot a. The matching section 51 and the matching plane 16 are respectively provided with electrical connection contact pieces 511 that constitute the electrical connection between the AI ​​teaching robot a and the training operation table b. The matching section 51 is provided with a matching electromagnet 512 for adsorbing the AI ​​teaching robot a. When the AI ​​teaching robot a is adsorbed to the matching section 51 by the matching electromagnet 512, the AI ​​teaching robot a is in a tilted state relative to the medical staff sitting in front of the training operation table b, making it easier for the medical staff to watch the video. At the same time, the scanning range of each camera of the AI ​​teaching robot a is wider and the scanning effect is better. In addition, the matching section 51 is also provided with an electrical connection contact piece 511 that electrically connects the AI ​​teaching robot a and the training operation table b, so that the AI ​​teaching robot a can coordinately control the training operation table b while also being used as a charging station to replenish electric energy.

[0038] The simulation module 4 includes a chassis 41 and a human body part model 42 arranged above the chassis 41. The human body part model 42 is provided with a sensing area 421. A simulation rod 6 cooperating with the sensing area is provided above the operating table 3. You can use your own tools for simulation, or you can use the simulation rod to simulate various surgical instruments. When the simulation rod contacts the sensing area, a more accurate operating position can be obtained, thereby providing better training guidance to medical staff. The simulation module 4 in the attached figure takes dental caries surgery as an example. The human body part model 42 is the lower tooth cavity, and the tooth cavity and gums near the caries are all sensing areas 421. The brightly colored simulation rod 6 is also easier to identify.

[0039] A sensing contact 61 is provided at the front end of the simulation rod 6, and a pressure sensor 62 is provided between the sensing contact 61 and the simulation rod 6. A gyroscope 63, a wireless transmission module 64, an analog power supply 65 and a wireless charging module 66 are provided inside the simulation rod 6. The operating table 3 is provided with a wireless charging area 31 that cooperates with the wireless charging module 66 to charge the power supply. The wireless charging area 31 is concave and is provided with an adsorption magnet for adsorbing the simulation rod 6. The gyroscope 63 accurately senses the holding posture of the simulation rod 6, and the pressure sensor 62 accurately senses the operating force, so that the system obtains more comprehensive feedback, and provides better training guidance to medical staff, thereby improving the training effect. In addition, the simulation rod 6 will be placed in the wireless charging area 31 for charging when idle, and will be adsorbed to the concave structure by the adsorption magnet to prevent it from being lost.

[0040] The operating table 3 is provided with a module switching hole 32, and the switching device includes a base 7, a turntable 71 and a lifting mechanism. The base 7 is located below the turntable 71 and is provided with a turntable motor 72 for driving the turntable 71 to rotate. The turntable 71 is provided with a plurality of vertically penetrating module rotation holes 73 for placing the simulation module 4 along the rotation direction. The module rotation hole 73 located directly below the module switching hole 32 serves as the lifting position. The lifting mechanism is located below the lifting position and lifts the simulation module 4 located at the lifting position to the module switching hole 32 or lowers the simulation module 4 located at the module switching hole 32 to the lifting position. The turntable motor 72 drives the turntable 71 to rotate, so that different module rotation holes 73 correspond to the switching of the module switching holes 32, thereby realizing the switching correspondence between different simulation modules 4 and the module switching holes 32, and after the simulation module 4 reaches the lifting position, the lifting mechanism performs the lifting action to complete the entire automatic switching process.

[0041] The lifting mechanism includes a lifting platform 8 and a lifting cylinder 81. The lifting platform 8 is located below the lifting position. The lifting cylinder 81 is located below the lifting platform 8 and drives it to lift and lower. A module electromagnet 82 for adsorbing the chassis 41 is arranged above the lifting platform 8. During the lifting process of the lifting platform 8, the module electromagnet 82 stably adsorbs the simulation module 4 to prevent the simulation module 4 from being offset during the lifting process, so that the simulation module 4 can stably switch between the lifting position and the module switching hole 32.

[0042] A limiting step 731 is arranged around the upper end of the module rotation hole 73, a limiting skirt 411 is arranged around the chassis 41 and is placed on the limiting step 731, and a limiting groove 321 is arranged around the lower end of the module switching hole 32 and is abutted against the limiting skirt 411. The limiting skirt 411 is used to cooperate with the limiting step 731 so that the simulation module 4 can be stably placed in the module rotation hole 73, and is also used to cooperate with the limiting groove 321 so that the simulation module 4 can operate stably.

[0043] A first power supply contact piece 322 is arranged on the upper end face of the limiting groove 321, and a second power supply contact piece 323 is arranged on the circumferential side face. A first conductive strip 412 which abuts against the first power supply contact piece 322 is arranged circumferentially on the upper end face of the limiting skirt 411, and a second conductive strip 413 which abuts against the second power supply contact piece 323 is arranged circumferentially on the circumferential side face. The first conductive strip 412 cooperates with the first power supply contact piece 322, and the second conductive strip 413 cooperates with the second power supply contact piece 323 to form the power supply coordination between the training operating platform b and the simulation module 4. At the same time, due to the annular structure of the first conductive strip 412 and the second conductive strip 413, no matter what direction the simulation module 4 is in, the corresponding power supply contact piece can be guaranteed to be in stable contact with the conductive strip, thereby ensuring stable power supply.

[0044] A code is set above the chassis 41, and a coding camera 9 for identifying the code is set corresponding to the module compartment 5 and the lifting position. The coding camera 9 can quickly identify the code as the identity of the simulation module 4, so as to quickly and accurately retrieve the required simulation module 4.

[0045] An adjustment notch 324 is provided on the edge of the module switching hole 32 of the operating table 3 to connect the top of the operating table 3 with the limiting groove 321. An adjustment motor 33 is provided on the operating table 3 near the adjustment notch 324. The adjustment motor 33 drives an adjustment roller 331 extending to the adjustment notch 324. The adjustment roller 331 abuts against the upper end surface of the limiting skirt 411 and drives it to rotate. The operating table 3 is provided with an adjustment knob 34 for controlling the rotation of the adjustment roller 331. When the medical staff rotates the adjustment knob 34, the adjustment motor 33 can be started to drive the adjustment roller 331 to rotate forward and reverse, thereby adjusting the circumferential direction of the simulation module 4 and stably maintaining it after the adjustment is in place, providing different operation perspectives for the medical staff, thereby realizing the operation more closely.

Claims

1. A smart medical platform based on big data, characterized by: The invention comprises an AI teaching robot and a training operation table, wherein the AI ​​teaching robot comprises a host, wherein a controller, a robot power supply, a network module and a navigation module are arranged in the host, a walking device is arranged below the host, a display and a speaker are arranged in front of the host, an identity recognition camera for identifying the identity of medical staff, a scene camera for scanning medical scenes and an action camera for identifying actions are arranged above the host, the training operation table is provided with an operation table, and simulation modules simulating different medical scenes are arranged on the operation table, the training operation table is provided with a module warehouse storing multiple simulation modules below the operation table, and a switching device for switching the simulation modules on the operation table and the simulation modules in the module warehouse is arranged in the module warehouse, and the AI ​​teaching robot has an on-site teaching mode and a group teaching mode. Combined teaching mode: when the AI ​​teaching robot is in the on-site teaching mode, the walking device arrives at the medical site under the control of the navigation module, confirms the identity of the medical staff through the identity recognition camera and the network module connected to the database, confirms the type of medical scene through the scene camera and the network module connected to the AI ​​engine and the big data engine, and plays the required teaching video to the medical staff; when the AI ​​teaching robot is in the combined teaching mode, the walking device arrives at the training console under the control of the navigation module, confirms the identity of the medical staff and the teaching progress through the identity recognition camera and the network module connected to the database, controls the switching device to switch the required simulation module to the operating table, plays the required teaching video to the medical staff, and corrects the medical staff's erroneous operating actions in time during the medical staff's operation through the action camera and the network module connected to the AI ​​engine.

2. The big data-based smart medical platform according to claim 1, characterized in that: A mating cut surface is arranged at the rear corner of the module warehouse, a mating plane which fits with the mating cut surface is arranged in front of the AI ​​teaching robot, the mating cut surface and the mating plane are respectively provided with electrical connection contact pieces which constitute the electrical connection between the AI ​​teaching robot and the training operating table, and the mating cut surface is provided with a mating electromagnet which adsorbs the AI ​​teaching robot.

3. The big data-based smart medical platform according to claim 1, characterized in that: The simulation module comprises a chassis and a human body part model arranged above the chassis, the human body part model is provided with a sensing area, and a simulation rod which is inductively matched with the sensing area is arranged above the operating table.

4. The big data-based smart medical platform according to claim 3 is characterized by: An inductive contact is provided at the front end of the simulation rod, a pressure sensor is provided between the inductive contact and the simulation rod, a gyroscope, a wireless transmission module, an analog power supply and a wireless charging module are provided inside the simulation rod, and the operating table is provided with a wireless charging area that cooperates with the wireless charging module to charge the analog power supply, and the wireless charging area is concave and is provided with an adsorption magnet that adsorbs the simulation rod.

5. The big data-based smart medical platform according to claim 4 is characterized in that: The operating table is provided with a module switching hole, and the switching device includes a base, a turntable and a lifting mechanism. The base is located below the turntable and is provided with a turntable motor for driving the turntable to rotate. The turntable is provided with a plurality of vertically penetrating module rotation holes along the rotation direction for placing simulation modules. The module rotation hole located directly below the module switching hole serves as a lifting position. The lifting mechanism is located below the lifting position and lifts the simulation module located at the lifting position to the module switching hole or lowers the simulation module located at the module switching hole to the lifting position.

6. The big data-based smart medical platform according to claim 5, characterized in that: The lifting mechanism includes a lifting platform and a lifting cylinder. The lifting platform is located below the lifting position. The lifting cylinder is located below the lifting platform and drives it to lift. A module electromagnet for adsorbing the chassis is arranged above the lifting platform.

7. The big data-based smart medical platform according to claim 6, characterized in that: A limiting step is arranged around the upper end of the module rotation hole, a limiting skirt placed on the limiting step is arranged around the chassis, and a limiting groove abutting against the limiting skirt is arranged around the lower end of the module switching hole.

8. The big data-based smart medical platform according to claim 7, characterized in that: A first power supply contact is arranged on the upper end surface of the limiting groove, and a second power supply contact is arranged on the circumferential side surface. A first conductive strip that abuts against the first power supply contact is circumferentially arranged on the upper end surface of the limiting skirt, and a second conductive strip that abuts against the second power supply contact is circumferentially arranged on the circumferential side surface.

9. The big data-based smart medical platform according to claim 8, characterized in that: A code is arranged above the chassis, and coding cameras for identifying the code are arranged correspondingly at the module compartment and the lifting position.

10. The big data-based smart medical platform according to claim 9, characterized in that: The operating table is provided with an adjustment notch at the edge of the module switching hole, which connects the top of the operating table with the limit groove. The operating table is provided with an adjustment motor near the adjustment notch. The adjustment motor drives an adjustment roller extending to the adjustment notch. The adjustment roller abuts against the upper end surface of the limit skirt and drives it to rotate. The operating table is provided with an adjustment knob for controlling the rotation of the adjustment roller.

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