Medical equipment intelligent operation and maintenance safety early warning system and method based on Internet of Things

Abstract

The invention discloses a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things, and belongs to the technical field of medical equipment safety early warning. The medical equipment intelligent operation and maintenance safety early warning system comprises a medical equipment body and a second display screen, a storage assembly is arranged in the medical equipment body, and a monitoring assembly is arranged on the medical equipment body; the handle is rotated to drive the two-way lead screw to rotate, so that the two sets of adjusting blocks move oppositely or oppositely on the two-way lead screw, the adjusting plate is driven to move up and down, stretching or storage of the supporting legs and the universal wheels with brakes is achieved, and intelligent operation and maintenance and safety early warning of medical equipment are achieved by constructing an intelligent operation and maintenance model and a safety early warning mechanism. The system can monitor the running state of the medical equipment in real time, predict the equipment fault occurrence probability and the possible fault type and give out early warning in advance, the system further provides a user interaction interface, operation management of personnel is facilitated, the operation and maintenance efficiency of the medical equipment can be remarkably improved, the operation and maintenance cost can be reduced, and the safety of medical work can be improved.

Description

Technical Field

[0001] The present invention relates to the field of medical equipment safety early warning technology, and in particular to a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things. Background Art

[0002] With the continuous advancement of medical technology, medical devices play a vital role in the modern healthcare system. However, the complexity and sophistication of medical equipment also pose significant challenges to their operation and maintenance. Traditional medical equipment operation and maintenance methods rely primarily on manual inspections and regular maintenance, which presents numerous drawbacks.

[0003] On the one hand, it is often difficult to extend or retract the braked universal wheels during use, requiring operators to expend more time and effort to complete this operation. For example, when transferring medical equipment from one ward to another, if the universal wheels are difficult to retract, the operator may need to repeatedly try or find tools to assist, thus prolonging the equipment transfer time. In some emergency situations, such as when a patient requires an immediate examination, if the equipment cannot be moved into place in time due to a problem with the universal wheels, the examination will be delayed, affecting the patient's diagnosis and treatment progress.

[0004] Inconvenient universal wheels can disrupt the workflow of medical equipment. For example, in daily hospital operations, medical equipment must be transferred between departments according to a specific process and sequence. If the universal wheels are not smoothly retracted or extended, the equipment may not arrive at the designated location on time, affecting subsequent work arrangements and reducing the efficiency of the entire medical process.

[0005] On the other hand, manual inspections are inefficient and prone to missed or misidentified inspections due to human error. Given the large number and widespread distribution of medical devices, manual inspections struggle to provide comprehensive coverage and real-time monitoring. Furthermore, while regular maintenance can prevent equipment failures to a certain extent, it is often difficult to accurately predict when a failure will occur, leading to excessive maintenance costs or equipment failures between maintenance intervals.

[0006] Furthermore, with the rise of the Internet of Things (IoT), its application to medical device operations and maintenance has become a trend. However, existing IoT-based medical device operations and maintenance systems primarily focus on data collection and transmission, lacking intelligent operations and maintenance strategies and safety warning mechanisms. This often prevents timely and accurate warnings when equipment malfunctions or safety hazards occur, leading to delayed troubleshooting and potentially safety incidents. Summary of the Invention

[0007] The purpose of the present invention is to solve the shortcomings of the existing technology and propose a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things.

[0008] To achieve the above-mentioned objectives, the present invention adopts the following technical solutions: an IoT-based intelligent operation and maintenance safety early warning system for medical equipment, comprising a medical equipment body and a display screen, wherein a storage component is provided inside the medical equipment body, and a monitoring component is provided on the medical equipment body; The storage assembly includes a fixed plate, which is fixedly connected to the inside of the medical device body. A fixed column is fixedly connected to the side of the fixed plate. An adjustment column is slidably connected to the bottom of the fixed column. The bottom of the adjustment column is fixedly connected to the adjustment plate. The bottom of the adjustment plate is fixedly connected to a support leg. The bottom of the support leg is connected to a universal wheel with a brake.

[0009] As a further description of the above technical solution: The storage assembly also includes a support block, which is fixedly connected to the bottom of the fixed plate. The support blocks are provided in three groups, and a bidirectional lead screw is rotatably connected between the three groups of support blocks. The outer walls of the bidirectional lead screw are respectively threadedly connected to two groups of adjustment blocks. The top of the adjustment plate is fixedly connected to the fixed block, and a connecting rod is rotatably connected between the fixed block and the adjustment block. One end of the bidirectional lead screw passes through the medical device body and is fixedly connected to a handle.

[0010] As a further description of the above technical solution: The monitoring component includes a control panel, which is connected to one side of the medical device body. A display screen and buttons are connected to one side of the control panel. A temperature sensor, a humidity sensor and a pressure sensor are connected to the top of the medical device body. An alarm light is connected to one side of the medical device body.

[0011] As a further description of the above technical solution: The control panel, display screen 1, buttons, temperature sensor, humidity sensor, pressure sensor and alarm light are electrically connected.

[0012] As a further description of the above technical solution: A battery slot and an interface are provided on one side of the medical device body.

[0013] As a further description of the above technical solution: The top of the medical device body is fixedly connected to a support base, the top of the support base is connected to the second display screen, and the bottom of the medical device body is fixedly connected to a rubber pad.

[0014] As a further description of the above technical solution: The medical device body includes a data storage module, a data analysis module, an intelligent operation and maintenance model construction module, a safety warning module, a power management module, a security encryption module and a fault self-diagnosis module.

[0015] As a further description of the above technical solution: The data storage module uses a database system to store the collected medical equipment operation data, which includes real-time operation data, historical operation data and basic information of the equipment. The data analysis module is responsible for deep processing, mining and modeling of the collected multi-source heterogeneous data to identify equipment operation anomalies, predict potential failures, optimize operation and maintenance strategies, and provide decision support for safety warnings. The intelligent operation and maintenance model construction module integrates multi-source information such as equipment data, environmental data, operation and maintenance history, and uses machine learning, deep learning and data analysis technologies to build an intelligent model that can predict equipment failures in real time, optimize operation and maintenance strategies, and independently decide on maintenance actions. The safety warning module monitors the equipment operation status in real time, analyzes potential risks, and generates warning signals based on preset rules or intelligent models.

[0016] As a further description of the above technical solution: The power management module performs real-time monitoring, optimized control and fault warning on the power supply system of the medical equipment; the security encryption module is responsible for encrypting the transmitted data; and the fault self-diagnosis module monitors the equipment operating status in real time, analyzes abnormal data and autonomously locates the root cause of the fault.

[0017] As a further description of the above technical solution: The following steps are involved: Step 1: Place the medical device in a suitable position, turn the handle to drive the adjustment plate to adjust the height, and realize the storage and use of the universal wheel with brake. Step 2: After startup, the power management module supplies power, the security encryption module ensures safety, and the fault self-diagnosis module performs self-checking. Step 3: Temperature sensors, humidity sensors, and pressure sensors monitor the environment and equipment parameters in real time and transmit them to the data storage and analysis module. Step 4: The data analysis module preprocesses data and builds a model to predict faults. Step 5: The security warning module compares real-time data with thresholds and model results, and triggers warnings when anomalies occur. Step 6: Display screen 2 displays information, key operations are processed by the control panel, and the data storage module stores data for a long time. Data can be exported, upgraded, and updated through the interface.

[0018] The present invention has the following beneficial effects: In the present invention, when the equipment needs to be moved, the staff turns the handle to drive the two-way screw to rotate. The rotation of the two-way screw causes the two sets of adjustment blocks to move relative to or opposite to each other on the two-way screw, and the adjusting plate is driven up and down by the connecting rod, thereby adjusting the position of the adjustment column in the fixed column, and realizing the extension or storage of the support legs and the universal wheels with brakes. When the universal wheels with brakes are extended, the staff can push the medical equipment body and use the universal wheels with brakes to conveniently move the equipment between different locations. After arriving at the destination, the universal wheels are braked to ensure that the equipment is placed stably. When the equipment does not need to be moved, the universal wheels with brakes are stored to make the support legs disengage from the ground. The equipment is stably placed on the ground through the rubber pads at the bottom. This can reduce the wear of the universal wheels, prevent the equipment from tipping over due to accidental collisions, and save space at the same time.

[0019] In the present invention, by constructing an intelligent operation and maintenance model and a safety warning mechanism, intelligent operation and maintenance and safety warning of medical equipment are realized. The system can monitor the operating status of medical equipment in real time, predict the probability of equipment failure and possible failure types, and issue warnings in advance. At the same time, the system also provides a user interaction interface to facilitate operation and management by maintenance personnel, department personnel and management personnel. It can be seen from the implementation effects of specific examples that the present invention can significantly improve the operation and maintenance efficiency of medical equipment, reduce operation and maintenance costs, and improve the safety of medical work. The medical equipment intelligent operation and maintenance safety warning system and method based on the Internet of Things can realize real-time monitoring, intelligent operation and maintenance and safety warning of medical equipment, improve the use efficiency and reliability of equipment, and ensure the smooth progress of medical work. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a first-person perspective diagram of a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things proposed by the present invention; Figure 2 This is a second perspective diagram of a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things proposed by the present invention; Figure 3 This is the partial structure of a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things proposed by the present invention Figure 1 ; Figure 4 This is the partial structure of a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things proposed by the present invention Figure 2 ; Figure 5 This is a flow chart of a medical equipment intelligent operation and maintenance safety early warning system and method based on the Internet of Things proposed by the present invention.

[0021] Legend: 1. Medical device body; 2. Control panel; 3. Display screen 1; 4. Buttons; 5. Display screen 2; 6. Support base; 7. Warning light; 8. Rubber pad; 9. Temperature sensor; 10. Humidity sensor; 11. Pressure sensor; 12. Battery slot; 13. Interface; 14. Fixing column; 15. Fixing plate; 16. Handle; 17. Support block; 18. Bidirectional screw; 19. Adjustment block; 20. Connecting rod; 21. Fixing block; 22. Adjustment column; 23. Adjustment plate; 24. Support leg; 25. Universal wheel with brake. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 making creative efforts are within the scope of protection of the present invention.

[0023] Reference Figure 1-Figure 5 The present invention provides an embodiment of an intelligent operation and maintenance safety early warning system for medical equipment based on the Internet of Things, comprising a medical device body 1 and a display screen 5, wherein a storage component is provided inside the medical device body 1, and a monitoring component is provided on the medical device body 1; The storage assembly includes a fixed plate 15, which is fixedly connected to the inside of the medical device body 1. The side of the fixed plate 15 is fixedly connected to a fixed column 14, the bottom of the fixed column 14 is slidably connected to an adjustment column 22, the bottom of the adjustment column 22 is fixedly connected to an adjustment plate 23, the bottom of the adjustment plate 23 is fixedly connected to a support leg 24, and the bottom of the support leg 24 is connected to a universal wheel 25 with a brake.

[0024] The storage component also includes a support block 17, which is fixedly connected to the bottom of the fixed plate 15. The support blocks 17 are provided with three groups. A bidirectional screw 18 is rotatably connected between the three groups of support blocks 17. The outer walls of the bidirectional screw 18 are respectively threadedly connected with two groups of adjustment blocks 19. The top of the adjustment plate 23 is fixedly connected with a fixed block 21. A connecting rod 20 is rotatably connected between the fixed block 21 and the adjustment block 19. One end of the bidirectional screw 18 passes through the medical device body 1 and is fixedly connected to the handle 16. The monitoring component includes a control panel 2, which is connected to one side of the medical device body 1. A display screen 3 and a button 4 are connected to one side of the control panel 2. The top of the medical device body 1 is connected with a temperature sensor 9, a humidity sensor 10 and a pressure sensor. Sensor 11, an alarm light 7 is connected to one side of the medical device body 1, a control panel 2, a display screen 3, a button 4, a temperature sensor 9, a humidity sensor 10, a pressure sensor 11 and the alarm light 7 are electrically connected, a battery slot 12 and an interface 13 are provided on one side of the medical device body 1, a support base 6 is fixedly connected to the top of the medical device body 1, the top of the support base 6 is connected to the display screen 2 5, a rubber pad 8 is fixedly connected to the bottom of the medical device body 1, the medical device body 1 includes a data storage module, a data analysis module, an intelligent operation and maintenance model construction module, a safety warning module, a power management module, a security encryption module and a fault self-diagnosis module, the data storage module uses a database system to store the collected medical device operation data, the data Including real-time operation data, historical operation data and basic information of equipment. The data analysis module is responsible for in-depth processing, mining and modeling of the collected multi-source heterogeneous data to identify equipment operation anomalies, predict potential failures, optimize operation and maintenance strategies, and provide decision support for safety warnings. The intelligent operation and maintenance model construction module integrates multi-source information such as equipment data, environmental data, operation and maintenance history, and uses machine learning, deep learning and data analysis technology to build an intelligent model that can predict equipment failures in real time, optimize operation and maintenance strategies, and make autonomous decisions on maintenance actions. The safety warning module monitors the equipment operation status in real time, analyzes potential risks, and generates warning signals based on preset rules or intelligent models. The power management module performs real-time maintenance on the power supply system of medical equipment. Real-time monitoring, optimized control and fault warning, the security encryption module is responsible for encrypting the transmitted data, the fault self-diagnosis module monitors the equipment operation status in real time, analyzes abnormal data and autonomously locates the root cause of the fault, including the following steps: Step 1: Place the medical device body 1 in a suitable position, turn the handle 16 to drive the adjustment plate 23 to adjust the height, and realize the storage and use of the universal wheel 25 with brakes, Step 2: After startup, the power management module supplies power, the security encryption module ensures safety, and the fault self-diagnosis module self-checks, Step 3: The temperature sensor 9, humidity sensor 10, and pressure sensor 11 monitor the environment and equipment parameters in real time and transmit them to the data storage and analysis module, Step 4: The data analysis module preprocesses data, builds a model to predict faults,Step 5: The safety warning module compares real-time data with thresholds and model results, triggering an alert when an anomaly occurs. Step 6: Display screen 2 5 displays information, and button 4 operations are processed by control panel 2. The data storage module stores data for a long time, and data can be exported, upgraded, and updated through interface 13. This IoT-based medical equipment intelligent operation and maintenance safety warning system and method can achieve real-time monitoring, intelligent operation and maintenance, and safety warnings for medical equipment, improving the efficiency and reliability of equipment use and ensuring the smooth progress of medical work.

[0025] Working principle: The staff places the medical device body 1 in a suitable position. When it needs to be moved, the handle 16 is turned. The handle 16 drives the bidirectional screw 18 to rotate, and the bidirectional screw 18 drives the two sets of adjustment blocks 19 to perform threaded movement, so that the connecting rod 20 swings between the adjustment block 19 and the fixed block 21, and the adjustment column 22 slides in the fixed column 14, driving the adjustment plate 23 to adjust the height, so as to realize the storage and use of the universal wheel 25 with brake. After the medical device body 1 is started, the power management module supplies power, the security encryption module ensures safety, and the fault self-diagnosis module self-checks. The temperature sensor 9, humidity sensor 10, and pressure sensor 11 monitor the environment and equipment parameters in real time and transmit them to the data storage and analysis module. The data analysis module preprocesses data and builds a model to predict faults. The safety warning module compares real-time data with thresholds and model results, and triggers warnings in case of abnormalities. The display screen 25 displays information, and the button 4 operation is processed by the control panel 2. The data storage module stores data for a long time, and the staff can export, upgrade and update data through the interface 13.

[0026] The electrical components appearing in this article are all electrically connected to an external main controller and 220V AC power, and the main controller can be a conventional known device that controls a computer, etc. The specific implementation method of this disclosure omits the detailed description of known functions and known components. To ensure the compatibility of the equipment, the operating methods used are consistent with the parameters of marketed equipment.

[0027] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An IoT-based intelligent operation and maintenance safety warning system for medical equipment, comprising a medical equipment body (1) and a second display screen (5), characterized in that: A storage component is provided inside the medical device body (1), and a monitoring component is provided on the medical device body (1); The storage assembly includes a fixed plate (15), the fixed plate (15) is fixedly connected to the inside of the medical device body (1), the side of the fixed plate (15) is fixedly connected to a fixed column (14), the bottom of the fixed column (14) is slidably connected to an adjustment column (22), the bottom of the adjustment column (22) is fixedly connected to an adjustment plate (23), the bottom of the adjustment plate (23) is fixedly connected to a support leg (24), and the bottom of the support leg (24) is connected to a universal wheel (25) with a brake.

2. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 1 is characterized by: The storage assembly further includes a support block (17), which is fixedly connected to the bottom of the fixed plate (15). The support blocks (17) are provided in three groups, and a bidirectional lead screw (18) is rotatably connected between the three groups of support blocks (17). The outer walls of the bidirectional lead screw (18) are respectively threadedly connected to two groups of adjustment blocks (19). The top of the adjustment plate (23) is fixedly connected to a fixed block (21), and a connecting rod (20) is rotatably connected between the fixed block (21) and the adjustment block (19). One end of the bidirectional lead screw (18) passes through the medical device body (1) and is fixedly connected to a handle (16).

3. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 1 is characterized by: The monitoring component includes a control panel (2), the control panel (2) is connected to one side of the medical device body (1), a display screen (3) and a button (4) are connected to one side of the control panel (2), a temperature sensor (9), a humidity sensor (10) and a pressure sensor (11) are connected to the top of the medical device body (1), and an alarm light (7) is connected to one side of the medical device body (1).

4. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 3 is characterized by: The control panel (2), display screen 1 (3), button (4), temperature sensor (9), humidity sensor (10), pressure sensor (11) and alarm light (7) are electrically connected.

5. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 1 is characterized by: A battery slot (12) and an interface (13) are provided on one side of the medical device body (1).

6. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 1 is characterized by: The top of the medical device body (1) is fixedly connected to a support base (6), the top of the support base (6) is connected to the second display screen (5), and the bottom of the medical device body (1) is fixedly connected to a rubber pad (8).

7. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 1 is characterized by: The medical device body (1) comprises a data storage module, a data analysis module, an intelligent operation and maintenance model construction module, a safety warning module, a power management module, a safety encryption module and a fault self-diagnosis module.

8. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 1 is characterized by: The data storage module uses a database system to store the collected medical equipment operation data, which includes real-time operation data, historical operation data and basic information of the equipment. The data analysis module is responsible for deep processing, mining and modeling of the collected multi-source heterogeneous data to identify equipment operation anomalies, predict potential failures, optimize operation and maintenance strategies, and provide decision support for safety warnings. The intelligent operation and maintenance model construction module integrates multi-source information such as equipment data, environmental data, operation and maintenance history, and uses machine learning, deep learning and data analysis technologies to build an intelligent model that can predict equipment failures in real time, optimize operation and maintenance strategies, and independently decide on maintenance actions. The safety warning module monitors the equipment operation status in real time, analyzes potential risks, and generates warning signals based on preset rules or intelligent models.

9. The IoT-based medical equipment intelligent operation and maintenance safety early warning system according to claim 8, characterized in that: The power management module performs real-time monitoring, optimized control and fault warning on the power supply system of the medical equipment; the security encryption module is responsible for encrypting the transmitted data; and the fault self-diagnosis module monitors the equipment operating status in real time, analyzes abnormal data and autonomously locates the root cause of the fault.

10. A medical equipment intelligent operation and maintenance safety early warning method based on the Internet of Things, characterized by: The following steps are involved: Step 1: Place the medical device body (1) in a suitable position, turn the handle (16) to drive the adjustment plate (23) to adjust the height, and realize the storage and use of the universal wheel with brake (25); Step 2: After startup, the power management module supplies power, the security encryption module ensures safety, and the fault self-diagnosis module performs self-test; Step 3: The temperature sensor (9), humidity sensor (10), and pressure sensor (11) monitor the environment and equipment parameters in real time and transmit them to the data storage and analysis module; Step 4: The data analysis module preprocesses data and builds a model to predict faults; Step 5: The security warning module compares real-time data with thresholds and model results, and triggers warnings when an anomaly occurs; Step 6: The second display screen (5) displays information, the button (4) operation is processed by the control panel (2), and the data storage module stores data for a long time, and the data can be exported, upgraded and updated through the interface (13).

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