Supply room-oriented AI image recognition instrument counting and fault detection all-in-one machine

Abstract

The invention provides a supply room-oriented AI image recognition instrument counting and fault detection all-in-one machine, which comprises a conveying belt, the input end of the conveying belt is fixedly connected with a driving motor, the bottom of the conveying belt is fixedly connected with a support frame, and the front side of the driving motor is fixedly connected with the surface of the support frame; a stand column is fixedly connected to the rear side of the supporting frame, a synchronous adjusting and recognizing structure is arranged at the top of the conveying belt, and the top of the synchronous adjusting and recognizing structure is fixedly connected with the surface of the stand column. By arranging the conveying belt, the driving motor, the supporting frame, the stand column, the synchronous adjustment recognition structure and the AI image recognition instrument checking and fault detection system, the problems that the efficiency is low and errors are prone to occurring due to the fact that management of medical instruments in an existing supply room mostly depends on manual operation including inventory checking, instrument state checking and the like are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device management, and particularly to an AI image recognition device inventory counting and fault detection integrated machine for the supply room. Background Art

[0002] Medical device management is a comprehensive process involving multiple links such as the research, development, production, operation, use, and supervision and management of medical devices. Medical devices refer to instruments, equipment, apparatus, in vitro diagnostic reagents and calibrators, materials, and other similar or related items directly or indirectly used on the human body, including the required computer software, whose main utility is obtained through physical means rather than pharmacological, immunological, or metabolic means, or these means only play an auxiliary role.

[0003] Currently, the management of medical devices in the supply rooms of medical institutions mostly relies on manual operations, including inventory counting, inspection of device status, etc. This not only has low efficiency but is also prone to errors. In addition, there are also lack of effective means for the maintenance and fault detection of devices, and problems can often only be discovered during use, affecting the quality and efficiency of medical services. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an AI image recognition device inventory counting and fault detection integrated machine for the supply room, which can automatically and quickly count the medical devices in the supply room; by analyzing the appearance images of the devices, it can identify whether there are physical damages or functional abnormalities of the devices, so as to solve the problems that the existing supply room management of medical devices mostly relies on manual operations, including inventory counting, inspection of device status, etc., which not only has low efficiency but is also prone to errors.

[0005] To achieve the above purpose, the present invention is realized through the following technical solutions: an AI image recognition device inventory counting and fault detection integrated machine for the supply room, including a conveyor belt, the input end of the conveyor belt is fixedly connected with a driving motor, the bottom of the conveyor belt is fixedly connected with a support frame, and the front side of the driving motor is fixedly connected to the surface of the support frame;

[0006] The rear side of the support frame is fixedly connected with a column, and the top of the conveyor belt is provided with a synchronous adjustment and recognition structure, and the top of the synchronous adjustment and recognition structure is fixedly connected to the surface of the column.

[0007] Further, the synchronous adjustment recognition structure includes a stabilizing plate. The top of the stabilizing plate is fixedly connected to the surface of the column. A servo motor is fixedly connected to the top of the stabilizing plate. The output end of the servo motor penetrates through the stabilizing plate and is fixedly connected to a screw rod. A moving plate is threadedly connected to the surface of the screw rod. A first transmission rod is movably connected to the inside of the moving plate through a first rotating shaft. One side of the first transmission rod away from the moving plate is movably connected to a second transmission rod through a second rotating shaft. The top of the second transmission rod is movably connected to the inside of the stabilizing plate through a third rotating shaft. A high-definition camera is fixedly connected to the bottom of the second transmission rod. The number of the first transmission rod, the second transmission rod, and the high-definition camera is six, and they are evenly distributed.

[0008] Further, LED lights are arranged at the four corners of the bottom of the moving plate. Both ends of the top of the LED light are movably connected to the moving plate through a fourth rotating shaft. An adjusting structure is fixedly connected to one side of the LED light. The top of the adjusting structure is fixedly connected to the bottom of the LED light.

[0009] Further, the adjusting structure includes a connecting plate. One side of the connecting plate close to the LED light is fixedly connected to the surface of the LED light. A stud is arranged inside the connecting plate. The top of the stud is fixedly connected to the bottom of the moving plate. A nut sleeve is threadedly connected to the surface of the stud, and the nut sleeve is located at the bottom of the connecting plate.

[0010] Further, telescopic tubes are fixedly connected to the four corners of the bottom of the stabilizing plate. The telescopic ends of the telescopic tubes are fixedly connected to the top of the moving plate. A first return spring is sleeved on the surface of the telescopic tube. The top of the first return spring is fixedly connected to the bottom of the stabilizing plate. The bottom of the first return spring is fixedly connected to the top of the moving plate.

[0011] Further, an activity groove for the activity of the first transmission rod is formed inside the second transmission rod. The conveyor belt is a weight detection conveyor belt.

[0012] Further, an opening for cooperating with the stud is formed inside the connecting plate. A second return spring is sleeved on the surface of the stud, and the second return spring is located between the connecting plate and the moving plate.

[0013] The AI image recognition device inventory and fault detection all-in-one machine facing the supply room. The AI image recognition device inventory and fault detection all-in-one machine further includes an AI image recognition device inventory and fault detection system;

[0014] The AI image recognition device inventory and fault detection system includes:

[0015] A data acquisition module, responsible for collecting raw data from the high-definition camera array and sensors (such as temperature, humidity);

[0016] The image processing and analysis module preprocesses, extracts features from, and performs AI-based analysis on the acquired image data to achieve instrument inventory and fault detection;

[0017] The database management module stores and manages all relevant data, including instrument information, historical records, and maintenance logs;

[0018] The user interface module provides an intuitive and easy-to-use interface for operators to view the system status, perform operations, and receive alerts;

[0019] The alarm and notification module sends warnings to relevant personnel in a timely manner when abnormal situations are detected (such as the absence of specific tools or damage to instruments);

[0020] The system management module is responsible for the configuration, monitoring, and maintenance of the entire system.

[0021] The data acquisition module further includes controlling the camera to capture images, adjusting camera parameters to optimize image quality, and obtaining environmental data;

[0022] The image processing and analysis module further includes image preprocessing, feature extraction, instrument recognition and classification, and result output;

[0023] The database management module further includes data persistence, data query and retrieval, and data backup and recovery;

[0024] The user interface module further includes real-time monitoring, report generation, and configuration management;

[0025] The alarm and notification module further includes an alarm trigger mechanism and multi-channel notifications;

[0026] The system management module further includes permission management, system monitoring, and logging.

[0027] Advantages of the present invention:

[0028] 1. The present invention is provided with a conveyor belt, a driving motor, a support frame, a column and a synchronous adjustment and recognition structure. The driving motor is fixedly connected to the input end of the conveyor belt, providing a stable power source for the conveyor belt to ensure that materials can be continuously and smoothly conveyed. The support frame is fixedly connected to the bottom of the conveyor belt, not only providing a stable supporting effect, but also enabling the driving motor to be firmly installed on the support frame, enhancing the stability and reliability of the entire structure. The column is fixedly connected to the rear side of the support frame, providing an installation basis for the synchronous adjustment and recognition structure, enabling the recognition structure to stably and accurately synchronously recognize and adjust the materials. The setting of the synchronous adjustment and recognition structure further improves the automation degree and recognition accuracy of material conveying, enabling the present invention to achieve precise recognition and synchronous adjustment during the material conveying process, thereby improving the efficiency and accuracy of material conveying.

[0029] 2. The present invention is provided with a synchronous adjustment and recognition structure, which can realize the synchronous adjustment of the high-definition camera in multiple directions. The fixed connection between the stabilizing plate and the column ensures the stability of the structure. The introduction of the servo motor provides an accurate power source. By driving the screw to rotate through its output end, the moving plate is driven to move on the screw. The moving plate forms a linkage mechanism with the high-definition camera through the first transmission rod and the second transmission rod. The first transmission rod and the second transmission rod are movably connected through a rotating shaft, realizing flexible angle adjustment. The combination of six uniformly distributed first transmission rods, second transmission rods and high-definition cameras not only expands the monitoring range, but also improves the monitoring accuracy and efficiency, enabling the high-definition camera to quickly and accurately capture the required pictures.

[0030] 3. The present invention is provided with an LED lamp and an adjustment structure. The LED lamp can provide sufficient light source, facilitating the illumination of the moving plate and its surrounding areas at night or in an environment with insufficient light, improving the convenience and safety of operation or observation. The movable connection between the LED lamp and the moving plate is realized through the fourth rotating shaft, enabling the LED lamp to adjust its angle, further adjusting the illumination direction and range according to actual needs, improving the flexibility and adaptability of illumination. The setting of the adjustment structure not only enhances the connection stability between the LED lamp and the moving plate, but also allows for fine adjustment of the height or tilt angle of the LED lamp to meet the illumination requirements in different scenarios.

[0031] 4. The present invention is provided with an adjustment structure, which can realize the precise adjustment of the position of the LED lamp. The fixed connection between the connecting plate and the surface of the LED lamp ensures the stability of the structure. The fixed connection between the stud and the moving plate enables the connecting plate to move up and down as the nut sleeve rotates, thereby realizing the flexible adjustment of the angle of the LED lamp.

[0032] 5. By providing the telescopic tube and the first return spring, the present invention enables the moving plate to be guided by the telescopic function of the telescopic tube during movement. At the same time, the elastic action of the first return spring can assist the moving plate to quickly return to the initial position, effectively improving the stability and reset ability of the structure.

[0033] 6. By providing the movable groove, the present invention enables the first transmission rod to move flexibly therein, thereby improving the flexibility and reliability of the transmission system. By using the weight detection conveyor belt, the weight of the items on the conveyor belt can be monitored and recorded in real time to assist in identifying whether the device is damaged.

[0034] 7. By providing the opening and the second return spring, the present invention can achieve the automatic reset and stable connection of the structure. When the moving plate is subjected to an external force, the stud can move flexibly within the opening. At the same time, the second return spring can provide a restoring force to ensure that the moving plate can quickly and accurately return to the initial position after the external force disappears. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0036] Figure 1 is a schematic structural diagram of the present invention;

[0037] Figure 2 is a perspective view of the synchronous adjustment and recognition structure;

[0038] Figure 3 is a flipped perspective view of the synchronous adjustment and recognition structure;

[0039] Figure 4 is a sectional perspective view of the stabilizing plate;

[0040] Figure 5 is a perspective view of the adjustment structure;

[0041] Figure 6 is a system diagram of the AI image recognition device inventory and fault detection system.

[0042] In the figure: 1, conveyor belt; 2, drive motor; 3, support frame; 4, column; 5, stabilizing plate; 6, servo motor; 7, screw; 8, moving plate; 9, first transmission rod; 10, second transmission rod; 11, high-definition camera; 12, LED lamp; 13, connecting plate; 14, stud; 15, nut; 16, telescopic tube; 17, first return spring; 18, movable groove; 19, opening; 20, second return spring. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] To make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0044] Please refer to Figure 1 , Figure 1 which is a schematic structural diagram of the present invention.

[0045] The AI image recognition device inventory and fault detection integrated machine facing the supply room includes a conveyor belt 1. The input end of the conveyor belt 1 is fixedly connected with a driving motor 2. The bottom of the conveyor belt 1 is fixedly connected with a support frame 3. The front side of the driving motor 2 is fixedly connected with the surface of the support frame 3.

[0046] A column 4 is fixedly connected to the rear side of the support frame 3. A synchronous adjustment and recognition structure is arranged on the top of the conveyor belt 1. The top of the synchronous adjustment and recognition structure is fixedly connected with the surface of the column 4.

[0047] Please refer to Figure 2 , Figure 3 , Figure 4 , Figure 5 and Figure 6 , Figure 2 which is a three-dimensional view of the synchronous adjustment and recognition structure; Figure 3 which is a flipped three-dimensional view of the synchronous adjustment and recognition structure; Figure 4 which is a sectional three-dimensional view of the stabilizing plate; Figure 5 which is a three-dimensional view of the adjustment structure; Figure 6 which is a system diagram of the AI image recognition device inventory and fault detection.

[0048] The synchronous adjustment recognition structure includes a stabilizing plate 5. The top of the stabilizing plate 5 is fixedly connected to the surface of the column 4. A servo motor 6 is fixedly connected to the top of the stabilizing plate 5. The output end of the servo motor 6 penetrates through the stabilizing plate 5 and is fixedly connected to a screw rod 7. A moving plate 8 is threadedly connected to the surface of the screw rod 7. Inside the moving plate 8, a first transmission rod 9 is movably connected through a first rotating shaft. One side of the first transmission rod 9 away from the moving plate 8 is movably connected to a second transmission rod 10 through a second rotating shaft. The top of the second transmission rod 10 is movably connected to the inside of the stabilizing plate 5 through a third rotating shaft. The bottom of the second transmission rod 10 is fixedly connected to a high-definition camera 11. The number of the first transmission rod 9, the second transmission rod 10, and the high-definition camera 11 is six, and they are evenly distributed, enabling the synchronous adjustment of the high-definition camera 11 in multiple directions. The fixed connection between the stabilizing plate 5 and the column 4 ensures the stability of the structure. The introduction of the servo motor 6 provides an accurate power source. By driving the screw rod 7 to rotate through its output end, the moving plate 8 is driven to move on the screw rod 7. The moving plate 8 forms a linkage mechanism with the high-definition camera 11 through the first transmission rod 9 and the second transmission rod 10. Among them, the first transmission rod 9 and the second transmission rod 10 are movably connected through a rotating shaft, realizing flexible angle adjustment. The combination of six evenly distributed first transmission rods 9, second transmission rods 10, and high-definition cameras 11 not only expands the monitoring range but also improves the monitoring accuracy and efficiency, enabling the high-definition camera 11 to quickly and accurately capture the required images.

[0049] LED lights 12 are arranged at the four corners of the bottom of the moving plate 8. Both ends of the top of the LED lights 12 are movably connected to the moving plate 8 through a fourth rotating shaft. One side of the LED lights 12 is fixedly connected to an adjustment structure. The top of the adjustment structure is fixedly connected to the bottom of the LED lights 12. The LED lights 12 can provide sufficient light sources, facilitating the illumination of the moving plate 8 and its surrounding areas at night or in environments with insufficient light, improving the convenience and safety of operations or observations. Through the fourth rotating shaft, the movable connection between the LED lights 12 and the moving plate 8 is realized, enabling the LED lights 12 to adjust the angle and further adjust the illumination direction and range according to actual needs, improving the flexibility and adaptability of illumination. The setting of the adjustment structure not only enhances the connection stability between the LED lights 12 and the moving plate 8 but also allows for fine adjustment of the height or tilt angle of the LED lights 12 to meet the illumination requirements in different scenarios.

[0050] The adjustment structure includes a connecting plate 13, and the side of the connecting plate 13 close to the LED lamp 12 is fixedly connected to the surface of the LED lamp 12, and a stud 14 is arranged inside the connecting plate 13, and the top of the stud 14 is fixedly connected to the bottom of the movable plate 8, and the surface of the stud 14 is threadedly connected with a screw sleeve 15, and the screw sleeve 15 is located at the bottom of the connecting plate 13, which can realize precise adjustment of the position of the LED lamp 12. The fixed connection between the connecting plate 13 and the surface of the LED lamp 12 ensures the stability of the structure, and the fixed connection between the stud 14 and the movable plate 8 enables the connecting plate 13 to move up and down with the rotation of the screw sleeve 15, thereby realizing flexible adjustment of the angle of the LED lamp 12.

[0051] The four corners of the bottom of the stabilizing plate 5 are fixedly connected with a telescopic tube 16, the telescopic end of the telescopic tube 16 is fixedly connected to the top of the movable plate 8, the surface of the telescopic tube 16 is sleeved with a first return spring 17, the top of the first return spring 17 is fixedly connected to the bottom of the stabilizing plate 5, and the bottom of the first return spring 17 is fixedly connected to the top of the movable plate 8, so that the movable plate 8 can be guided by the telescopic function of the telescopic tube 16 when moving, and the elastic action of the first return spring 17 can help the movable plate 8 to quickly return to its initial position, which effectively improves the stability and return ability of the structure.

[0052] An movable groove 18 for the movement of the first transmission rod 9 is opened inside the second transmission rod 10. The conveyor belt 1 is a weight detection conveyor belt 1, so that the first transmission rod 9 can move flexibly therein, thereby improving the flexibility and reliability of the transmission system. The use of the weight detection conveyor belt 1 can monitor and record the weight of the items on the conveyor belt 1 in real time, and assist in identifying whether the equipment is damaged.

[0053] An opening 19 is provided inside the connecting plate 13 for use with the stud 14. A second return spring 20 is sleeved on the surface of the stud 14. The second return spring 20 is located between the connecting plate 13 and the movable plate 8, and can realize automatic return and stable connection of the structure. When the movable plate 8 is subjected to external force, the stud 14 can move flexibly in the opening 19. At the same time, the second return spring 20 can provide restoring force to ensure that the movable plate 8 can quickly and accurately return to its initial position after the external force disappears.

[0054] AI image recognition equipment inventory and fault detection all-in-one machine for supply rooms, which also includes an AI image recognition equipment inventory and fault detection system;

[0055] AI image recognition equipment inventory and fault detection system includes:

[0056] Data acquisition module, responsible for collecting raw data from the HD camera 11 array and sensors (such as temperature and humidity);

[0057] The image processing and analysis module preprocesses, extracts features from, and performs AI-based analysis on the acquired image data to achieve instrument inventory and fault detection;

[0058] The database management module stores and manages all relevant data, including instrument information, historical records, and maintenance logs;

[0059] The user interface module provides an intuitive and easy-to-use interface for operators to view the system status, perform operations, and receive alerts;

[0060] The alarm and notification module sends warnings to relevant personnel in a timely manner when abnormal situations are detected (such as the absence of specific tools or damage to instruments);

[0061] The system management module is responsible for the configuration, monitoring, and maintenance of the entire system.

[0062] The data acquisition module also includes controlling the camera to capture images, adjusting camera parameters to optimize image quality (such as autofocus, exposure adjustment), and obtaining environmental data (temperature, humidity, etc.) to provide additional information for image analysis;

[0063] The image processing and analysis module also includes image preprocessing: cropping, scaling, grayscale conversion, etc., feature extraction: using deep learning models to extract key features from images, instrument recognition and classification: identifying different types of medical devices through trained models and judging their status (normal / faulty), and result output: transmitting the analysis results (instrument quantity, status, etc.) to other modules or external systems;

[0064] The database management module also includes data persistence: saving information such as image analysis results, instrument lists, and operation logs to the database, data query and retrieval: supporting quick search for historical records or current status of specific instruments, data backup and recovery: regularly backing up important data to prevent data loss;

[0065] The user interface module also includes real-time monitoring: displaying the status and quantity of current instruments, report generation: allowing users to generate and download reports on instrument inventory and health status, configuration management: providing options for users to customize alert thresholds, inspection frequencies, and other settings;

[0066] The alarm and notification module also includes an alarm trigger mechanism: automatically triggering alarms based on set rules, multi-channel notification: notifying users via sound, screen prompts, or text messages;

[0067] The system management module also includes permission management: controlling user access rights to ensure data security, system monitoring: real-time monitoring of the system operation status, including hardware resource usage, network connection status, etc., log recording: recording system operation logs for easy problem tracking and auditing.

[0068] Working principle: The core of the AI image recognition device inventory and fault detection integrated machine for the supply room lies in the integrated synchronous adjustment recognition structure and the AI image recognition device inventory and fault detection system, which realizes the automatic inventory and fault detection of the devices in the supply room. When working, the driving motor 2 starts, driving the conveyor belt 1 to run, and sending the devices to be detected into the detection area. The conveyor belt 1 adopts a weight detection conveyor belt 1, which can monitor and record the weight of the items on the conveyor belt 1 in real time, providing auxiliary information for subsequent device fault detection. The servo motor 6 in the synchronous adjustment recognition structure drives the screw rod 7 to rotate, and then drives the moving plate 8 to move on the screw rod 7. The moving plate 8 forms a linkage mechanism with the high-definition camera 11 through the first transmission rod 9 and the second transmission rod 10, enabling the high-definition camera 11 to be synchronously adjusted in multiple directions, thus realizing the comprehensive monitoring of the devices. The combination of six evenly distributed high-definition cameras 11 not only expands the monitoring range, but also improves the monitoring accuracy and efficiency. During the monitoring process, the high-definition camera 11 captures the image information of the devices and transmits it to the AI image recognition device inventory and fault detection system. This system first collects the original data through the data acquisition module, including image data and sensor data (such as temperature, humidity). The image processing and analysis module preprocesses, extracts features and performs AI-based analysis on the collected image data to realize device inventory and fault detection. The feature extraction process uses a deep learning model to extract the key features in the image and identifies different types of medical devices through the trained model to judge their status (normal / fault). The detection results are stored in the database management module, which is responsible for storing and managing all relevant data, including device information, historical records and maintenance logs. The user interface module provides an intuitive and easy-to-use interface for operators to view the system status, execute operations and receive alarms. When an abnormal situation (such as missing a specific tool or finding damage to the device) is detected, the alarm and notification module sends a warning to the relevant personnel in time to ensure that the problem is handled in time. The present invention also sets an LED lamp 12 and an adjustment structure to provide sufficient light source, facilitating the illumination of the moving plate 8 and its surrounding area at night or in a dim environment. The adjustment structure can realize the precise adjustment of the position of the LED lamp 12 to meet the illumination requirements in different scenarios. The telescopic tube 16 and the first return spring 17 at the bottom of the stabilizing plate 5 can make the moving plate 8 maintain stability when moving and assist it to quickly return to the initial position.

[0069] The foregoing has shown and described the basic principles, main features and advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-mentioned exemplary embodiments, and without departing from the spirit or basic features of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to embrace all changes that fall within the meaning and scope of the equivalent elements of the claims in the present invention. Any reference signs in the claims should not be construed as limiting the claims concerned.

[0070] In addition, it should be understood that although this specification is described in terms of embodiments, not every embodiment only contains an independent technical solution. This narrative manner of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. AI image recognition equipment inventory and fault detection all-in-one machine for supply rooms, featuring: It comprises a conveyor belt (1), the input end of the conveyor belt (1) is fixedly connected to a drive motor (2), the bottom of the conveyor belt (1) is fixedly connected to a support frame (3), and the front side of the drive motor (2) is fixedly connected to the surface of the support frame (3); The rear side of the support frame (3) is fixedly connected to a column (4), the top of the conveyor belt (1) is provided with a synchronous adjustment identification structure, and the top of the synchronous adjustment identification structure is fixedly connected to the surface of the column (4).

2. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to claim 1 is characterized in that: The synchronous adjustment identification structure comprises a stabilizing plate (5), the top of which is fixedly connected to the surface of a column (4), the top of which is fixedly connected to a servo motor (6), the output end of which passes through the stabilizing plate (5) and is fixedly connected to a screw rod (7), the surface of which is threadedly connected to a moving plate (8), the interior of the moving plate (8) is movably connected to a first transmission rod (9) via a first rotating shaft, the side of the first transmission rod (9) away from the moving plate (8) is movably connected to a second transmission rod (10) via a second rotating shaft, the top of the second transmission rod (10) is movably connected to the interior of the stabilizing plate (5) via a third rotating shaft, the bottom of the second transmission rod (10) is fixedly connected to a high-definition camera (11), and the number of the first transmission rod (9), the second transmission rod (10) and the high-definition camera (11) is six and is evenly distributed.

3. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to claim 2 is characterized in that: LED lamps (12) are arranged at the four corners of the bottom of the movable plate (8); both ends of the top of the LED lamp (12) are movably connected to the movable plate (8) via a fourth rotating shaft; one side of the LED lamp (12) is fixedly connected to an adjustment structure; the top of the adjustment structure is fixedly connected to the bottom of the LED lamp (12).

4. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to claim 3 is characterized by: The adjustment structure comprises a connecting plate (13), wherein a side of the connecting plate (13) close to the LED lamp (12) is fixedly connected to the surface of the LED lamp (12), a stud (14) is arranged inside the connecting plate (13), the top of the stud (14) is fixedly connected to the bottom of the movable plate (8), a screw sleeve (15) is threadedly connected to the surface of the stud (14), and the screw sleeve (15) is located at the bottom of the connecting plate (13).

5. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to claim 3 is characterized by: The four corners of the bottom of the stabilizing plate (5) are fixedly connected with telescopic tubes (16), the telescopic ends of the telescopic tubes (16) are fixedly connected with the top of the movable plate (8), the surface of the telescopic tubes (16) is sleeved with a first return spring (17), the top of the first return spring (17) is fixedly connected with the bottom of the stabilizing plate (5), and the bottom of the first return spring (17) is fixedly connected with the top of the movable plate (8).

6. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to claim 2 is characterized in that: A movable groove (18) for the movement of the first transmission rod (9) is provided inside the second transmission rod (10), and the conveyor belt (1) is a weight detection conveyor belt.

7. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to claim 4 is characterized in that: The connection plate (13) is provided with an opening (19) for use with the stud (14), and the surface of the stud (14) is sleeved with a second return spring (20), which is located between the connection plate (13) and the movable plate (8).

8. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to any one of claims 1 to 7, characterized in that: The AI ​​image recognition equipment inventory and fault detection all-in-one machine also includes an AI image recognition equipment inventory and fault detection system; The AI ​​image recognition equipment inventory and fault detection system includes: A data acquisition module, responsible for collecting raw data from a high-definition camera (11) array and sensors; Image processing and analysis module, which performs preprocessing, feature extraction and AI-based analysis on the collected image data to achieve equipment inventory and fault detection; Database management module, which stores and manages all relevant data, including equipment information, history records and maintenance logs; User interface module, which provides an intuitive and easy-to-use interface for operators to view system status, perform operations and receive alarms; Alarm and notification module, when abnormal situation is detected, timely send warning to relevant personnel; The system management module is responsible for the configuration, monitoring and maintenance of the entire system.

9. The AI ​​image recognition equipment inventory and fault detection integrated machine for supply rooms according to claim 8 is characterized in that: The data acquisition module also includes controlling the camera to capture images, adjusting camera parameters to optimize image quality, and acquiring environmental data; The image processing and analysis module also includes image preprocessing, feature extraction, instrument identification and classification, and result output; The database management module also includes data persistence, data query and retrieval, and data backup and recovery; The user interface module also includes real-time monitoring, report generation and configuration management; The alarm and notification module also includes an alarm triggering mechanism and multi-channel notification; The system management module also includes authority management, system monitoring and log recording.

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