An intelligent shielding control method and device applied to a medical transport device

Abstract

The application discloses an intelligent shielding control method and device applied to a medical conveying device, a sensor acquisition module is used for acquiring patient body temperature, skin temperature, heart rate, posture data, and environmental data such as illumination, temperature and humidity, ultraviolet intensity, vehicle door state and scene image, a closed-loop feedback module performs self-adaptive adjustment on a shielding control strategy according to patient state changes and group behavior changes after shielding execution. The intelligent shielding control method and device applied to the medical conveying device can continuously collect and fusion-analyze information in the medical transfer process, make the shielding behavior keep real-time response and perform self-adaptive adjustment under multiple scene conditions, make the shielding strategy meet complex requirements at the same time, and effectively solve problems of passive response, incapability of adapting to multiple scenes, incapability of taking into account patient physiological changes and multiple bed interference and the like of a traditional shielding device.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, specifically to an intelligent shielding control method and device for medical transport equipment. Background Technology

[0002] During emergency medical treatment and intra-hospital transfers, patients typically need to be moved between different areas using stretchers, ambulance beds, or mobile hospital beds. These areas include outdoor roads, ambulance compartments, hospital entrance areas, corridors, elevators, and wards. During these continuous transfers across multiple areas and nodes, patients are exposed to environmental factors such as light, temperature, humidity, and wind and rain. They may also be affected by onlookers' views, environmental noise, and confined spaces. Therefore, various medical applications commonly use devices such as curtains, blackout hoods, and canopies to provide shade, rain protection, warmth, or privacy.

[0003] For example, the existing technology, specifically the multi-segment adjustable magnetic shielding transport bed with publication number CN218045622U, includes a bed structure and a corresponding shielding structure. The bed structure comprises multiple sets of buffer support structures connected by fixed rods. A bed board is mounted on the buffer support structure, and symmetrically arranged limiting grooves and adjustable hanging structures are provided on the bed board. The limiting grooves cooperate with the shielding structure. Using this structure, the multi-segment shielding structure is installed in conjunction with the bed, allowing for flexible adjustment of the shielding area. It is easy to assemble and disassemble, and the magnetic connection is stable and reliable. The bed has rich functions, good buffering effect, is safe and stable, and facilitates patient transport. The entire device has a reasonable structure, is easy to operate, flexible, and highly practical.

[0004] In existing technologies, most light-blocking devices are based on manual lifting structures, mechanical folding structures, or single environmental triggering mechanisms. Their control methods are simple, mainly relying on manual operation or opening and closing control based on single conditions such as light threshold or raindrop detection. For example, some publicly available light-blocking bed cover devices only provide shielding protection during examinations through mechanical folding; some nursing bed covering structures form shielding in local areas through electronic control for excretion or local care. However, these traditional light-blocking devices are all passive or semi-passive structures, and their control logic relies on a single environmental factor or a fixed structural movement path, making it impossible to make real-time adaptive adjustments based on the patient's current physiological state or dynamic environmental changes. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent shielding control method and device for medical transport equipment, in order to solve the problem that the shielding devices mentioned in the background art are all passive or semi-passive structures, and their control logic depends on a single environmental factor or a fixed structural movement path, and cannot make real-time adaptive adjustments according to the patient's current physiological state or dynamic environmental changes.

[0006] To achieve the above objectives, the present invention provides the following technical solution: An intelligent occlusion control method applied to medical transport equipment is implemented using the following modules: The sensor acquisition module is used to acquire patient body temperature, skin temperature, heart rate, posture data, as well as environmental data such as light, temperature and humidity, ultraviolet intensity, vehicle door status, and scene images; The scene recognition module identifies the current scene of the hospital bed based on environmental data and scene images; The patient status analysis module generates patient demand factors based on changes in body temperature, thermal comfort indices, and posture data. The group communication and collaboration module is used to exchange locations, obstruction requests, and action progress when multiple beds are transferred simultaneously. The control decision module generates occlusion control strategies based on scene recognition results, patient demand factors, and group information. The predictive scheduling module outputs occlusion preparation instructions in advance based on path navigation, vehicle speed, or weather change prediction data. The occlusion execution module drives the occlusion mechanism to perform actions according to the occlusion control strategy and sends back the execution status. The closed-loop feedback module adaptively adjusts the occlusion control strategy based on changes in patient status and group behavior after occlusion is implemented.

[0007] As a further step, when the patient's body temperature rises above the set threshold, the thermal comfort index exceeds the upper limit, or the patient's posture changes and poses a risk of lateral lying or exposure, the shielding coverage rate is increased and the shielding deployment speed is accelerated. When the patient's body temperature is below the preset lower limit or the thermal comfort index is low, the shielding coverage rate is reduced and the ventilation opening area is increased to promote heat dissipation.

[0008] As a further step, the thermal comfort index is calculated by analyzing body temperature trends, skin temperature differences, and ambient temperature and humidity. Combined with posture recognition results, the coverage rate and movement speed are increased when body temperature rises or the thermal comfort index exceeds the upper limit. When body temperature is low, the coverage rate is reduced and the ventilation opening area is increased. After the shading is unfolded or retracted, the data change trends of body temperature and skin temperature difference are continuously tracked. When the changes do not meet expectations, the coverage rate and ventilation opening are corrected a second time.

[0009] As a further step, while determining the occlusion strategy based on the scene recognition results, the occlusion range is locally adjusted based on the area that the patient can be occluded, wind direction information, rainfall landing point prediction, and the location of medical equipment. When the patient cannot be completely covered, a lateral flow occlusion mode is adopted, and when the monitoring equipment is at risk of being rained on, the system switches to a device priority protection strategy.

[0010] As a further step, when it is not possible to fully cover the patient, rainwater is deflected along the side of the shield by lateral deflection. When there is a risk of moisture damage to the monitoring equipment, the shield position is aligned with the monitor, electrode patches, line interface or infusion device, and the shield deployment direction is corrected a second time when the wind direction reverses.

[0011] Furthermore, by exchanging information such as bed location, occupancy request status, and action progress via wireless communication, the occupancy execution order is prioritized according to the patient's need level, bed spacing, and the space occupied by the occupancy trajectory, so that the occupancy behavior avoids spatial interference when multiple beds are transferred simultaneously.

[0012] Furthermore, the positional relationship is continuously updated based on the speed and direction of bed movement. When the positional change causes a deviation in the original priority ranking, the ranking is recalculated to ensure the reliability of the occlusion execution process in the dynamic path. The occlusion action of the next bed is executed only after the priority bed completes the occlusion action and releases space.

[0013] Furthermore, based on route navigation, vehicle speed changes, and weather forecast information, pre-deployment or pre-retraction instructions for shielding are generated in advance. When the shielding cannot be fully deployed in the patient's area, it automatically switches to auxiliary shielding mode. After shielding is executed, the shielding coverage and ventilation openings are continuously fine-tuned based on the patient's body temperature trend, skin temperature difference, and equipment status.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The intelligent occlusion control method and device applied to medical transport equipment continuously collects and integrates information during medical transport, enabling occlusion behavior to maintain real-time response and perform adaptive adjustments under multiple scenarios. This allows the occlusion strategy to simultaneously meet complex needs, effectively solving the problems of passive response, inability to adapt to multiple scenarios, and difficulty in taking into account patient physiological changes and multi-bed interference in traditional occlusion devices. The entire occlusion control process forms a continuous closed loop from collection, identification, analysis, collaboration, decision-making, execution to feedback, improving the stability, timeliness, accuracy, and safety of occlusion behavior during medical transport, as detailed below.

[0015] 1. By calculating the trend of body temperature change, skin temperature difference and thermal comfort index in real time, the coverage rate of the shielding and the ventilation opening can be automatically adjusted according to the patient's body temperature rising, body temperature falling, or changes in heat load. This allows the shielding action to compensate for the patient's discomfort from cold or heat in a timely manner, and effectively improves the traditional problem of excessive or insufficient shielding caused by changes in body temperature. Furthermore, it can identify and perform partial shading when the area above the patient cannot be fully covered due to the arrangement of monitors, electrode patches, or tubing. This allows the shading structure to support biased deployment and lateral deflection modes, enabling rain, wind, or strong light to be deflected laterally and not fall directly onto the patient's body or critical equipment area. This provides advance protection for the monitoring equipment in rainy and humid environments, improving the quality of shading coverage in complex environments.

[0016] 2. By using path navigation, movement speed and weather forecast data to judge the upcoming environmental changes, the system can generate pre-deployment or pre-retraction commands in advance before entering areas of strong light, encountering rain, or entering narrow spaces. This ensures that the shielding structure is ready before the actual change occurs, effectively avoiding the lag problem of traditional shielding only after the change has taken place. Furthermore, through the fusion analysis of environmental data and scene images, the system can automatically distinguish between outdoor strong light scenes, ambulance interior scenes, hospital corridor scenes, elevator space scenes, and ward scenes. This allows the occlusion strategy to perform full deployment, partial deployment, or limited deployment according to the characteristics of different scenes, so that occlusion behavior is no longer limited by fixed conditions. This improves the adaptability of the occlusion system in complex transport paths. By exchanging location, occlusion request, and action progress information in real time through group communication, the system can calculate priorities and sort the occlusion execution order based on the distance between beds, the direction of movement, and the space occupied by the occlusion trajectory. This prevents structural collisions and trajectory interference when multiple beds perform occlusion actions in narrow passages, ambulance interiors, or elevator spaces, and ensures that occlusion behavior does not conflict with group passage activities. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the overall process of the present invention; Figure 2 This is a schematic diagram of the physiological driving regulation process of the present invention; Figure 3 This is a schematic diagram of the scenario adaptation process of the present invention; Figure 4 This is a schematic diagram of the priority and deflection shielding of the device of the present invention; Figure 5 This is a schematic diagram of the multi-bed collaborative scheduling process of the present invention; Figure 6 This is a schematic diagram of the predictive scheduling of the present invention; Figure 7 This is a schematic diagram of the occlusion fine-tuning process of the present invention; Figure 8 This is a structural schematic diagram of one form of the conveying device of the present invention; Figure 9 This is a schematic diagram of a second form of the conveying device of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Please see Figures 1-9 The present invention provides the following technical solution: Example 1: This example addresses the problem that occlusion behavior during medical transport cannot be adjusted in real time according to different scenarios and patient conditions. It proposes an overall operation method that can continuously identify environmental changes, acquire patient physiological information, and adaptively adjust occlusion strategies during multi-scenario, dynamic, and cross-regional transport. This allows patients to obtain stable, appropriate, and non-interfering occlusion protection when crossing environments such as outdoors, inside ambulances, hospital corridors, elevator spaces, and ward rooms. At the same time, it avoids the lag and inconsistency of traditional manual control methods, thereby maintaining the continuity, timeliness, and safety of occlusion actions in complex transport paths. The sensor acquisition module is used to acquire patient body temperature, skin temperature, heart rate, posture data, as well as environmental data such as light, temperature and humidity, ultraviolet intensity, vehicle door status, and scene images. The scene recognition module identifies the current scene of the bed based on environmental data and scene images. The patient status analysis module generates patient demand factors based on body temperature changes, thermal comfort indicators, and posture data. The group communication and collaboration module is used to exchange positions, occlusion requests, and action progress when multiple beds are transferred simultaneously. The control decision module generates an occlusion control strategy based on scene recognition results, patient demand factors, and group information. The predictive scheduling module outputs occlusion preparation instructions in advance based on path navigation, vehicle speed, or weather change prediction data. The occlusion execution module drives the occlusion mechanism to perform actions according to the occlusion control strategy and sends back the execution status. The closed-loop feedback module adaptively adjusts the occlusion control strategy based on changes in patient status and group behavior after occlusion execution. After system startup, sensors continuously acquire data on patient body temperature, skin temperature, posture changes, and external light, ultraviolet radiation, and humidity. Simultaneously, the system acquires door opening status and scene images, ensuring a complete source of input information for different environments. Subsequently, through image and environmental feature fusion analysis, the system determines whether the bed is outdoors, inside an ambulance, or inside a hospital, enabling the control logic to maintain clear environmental recognition capabilities during complex movement paths. Furthermore, based on patient body temperature trends, skin temperature differences, and posture characteristics, the system calculates heat dissipation requirements, insulation requirements, and privacy levels, allowing the system to consider the patient's physiological state during the strategy generation stage after environmental recognition. When multiple beds are being transferred simultaneously within the area, the system exchanges location information, occlusion requests, and execution progress via short-range communication, enabling future... The collision risks that may be caused by the occlusion action are identified and avoided before execution. Then, strategies such as occlusion deployment, partial deployment, or ventilation opening adjustment are generated according to the scenario type, patient needs, and group status. Pre-deployment or pre-retraction commands are triggered in advance based on vehicle movement trends, route navigation, or weather change signals, so that the occlusion action is in an executable state before the environmental change occurs. The occlusion execution structure deploys or retracts according to the strategy signals and transmits the position and action status back, so that the system maintains stable control during the execution phase. After the occlusion is completed, the system continues to monitor changes in patient body temperature and posture, so that the occlusion coverage and ventilation opening can be further fine-tuned. The whole process forms a continuous closed loop from perception to reasoning to execution and feedback, so that the occlusion system maintains reliability and adaptability during long-distance, multi-node transportation.

[0020] Patient demand factors refer to the heat dissipation, heat preservation, and privacy needs derived from body temperature trends, skin temperature differences, and posture characteristics. Scene classification refers to the environmental labels generated based on images and environmental data for different areas such as outdoors, in vehicles, or hospitals. Occlusion strategy refers to the combination of actions such as the extent of expansion, partial expansion, or ventilation openings. Feedback information refers to real-time information such as the action position, resistance status, and execution result returned by the occlusion execution structure.

[0021] Example 2: This example addresses the issues of rapid changes in body temperature, unstable thermal comfort, and potential local exposure due to changes in posture during medical transport. By continuously analyzing body temperature trends, skin temperature differences, and posture changes, the shielding device can instantly adjust its coverage and ventilation openings. This ensures that the shielding behavior remains flexible and adaptable under different environments and physiological conditions, thereby improving the problem of delayed response and insufficient adjustment in traditional fixed or passive shielding modes when the body temperature is too high, too low, or exposed when turning around. When the patient's body temperature rises above the set threshold, the thermal comfort index exceeds the upper limit, or the patient's posture changes and poses a risk of side lying and exposure, the shielding coverage rate is automatically increased and the shielding deployment speed is accelerated. When the patient's body temperature is below the preset lower limit or the thermal comfort index is low, the shielding coverage rate is automatically reduced and the ventilation opening area is increased to promote heat dissipation. In this embodiment, the system collects the patient's body temperature data at fixed intervals during operation and calculates the trend of change within a continuous time window, enabling real-time identification of the rate of temperature rise or fall. Simultaneously, it combines skin temperature difference with ambient temperature and humidity to calculate the thermal comfort index, allowing the system to determine whether the patient is under thermal load. When the body temperature shows an upward trend or the thermal comfort index exceeds the upper limit, the control logic immediately increases the shielding coverage to suppress the impact of external radiant heat and light on the patient, and increases the action speed of the shielding structure, allowing the shield to unfold in a shorter time. When the posture recognition result shows that the patient is lying on their side or in a prone position... When a part of the body is exposed, the coverage rate is increased to provide additional protection for private areas. When the body temperature is below the set lower limit or the thermal comfort index is low, the coverage rate is reduced to allow ambient air to enter the area around the patient. At the same time, the ventilation opening area is increased to enhance airflow, so that patients in a generally cold thermal environment can receive more comfortable temperature compensation. For a short period of time after the occlusion is extended or retracted, the system continues to track the data trend of changes in body temperature and skin temperature difference. When the changes do not meet expectations, the occlusion coverage rate and ventilation opening are adjusted again to ensure that the entire physiologically driven occlusion adjustment process remains continuous and adaptive.

[0022] Body temperature trend refers to the direction and speed of change of body temperature over time within a continuous time window. Thermal comfort index refers to the heat load evaluation parameter calculated based on variables such as body temperature, skin temperature, and ambient temperature and humidity. It can be used to determine whether a patient is in an overheated or undercool state. Shading coverage rate refers to the real-time unfolding ratio of the shading structure relative to the maximum unfolded area. Ventilation opening area refers to the effective opening area of ​​the ventilation structure used for air exchange at the current moment.

[0023] Example 3: This example addresses situations where environmental changes are sudden and routes are frequently crossed during medical transport. The shielding behavior must not only adapt to different lighting conditions, narrowness, and spatial limitations, but also maintain a certain level of protection when the patient cannot tolerate large-area coverage or when the area above cannot be shielded due to monitoring equipment. Traditional shielding devices often cannot perform localized actions based on the scene and the area the patient can shield in outdoor environments such as heavy rain, strong light, or unstable wind direction. They also cannot provide targeted protection when monitoring equipment faces the risk of rain damage. Therefore, a control method is needed that can dynamically adjust the shielding range according to the scene type, the area the patient can shield, wind direction, and the layout of medical equipment, ensuring the effectiveness and safety of the shielding behavior under different scenarios and limitations. While determining the occlusion strategy based on the scene recognition results, the occlusion range is locally adjusted based on the area that the patient can be occluded, wind direction information, rainfall landing point prediction and the location of medical equipment. When the patient cannot be completely covered, a lateral flow occlusion mode is adopted, and when the monitoring equipment is at risk of being rained on, the equipment priority protection strategy is switched. In this embodiment, after the system identifies different scenarios such as the patient's bed being outdoors, inside an ambulance, in a hospital corridor, in an elevator, or in a ward, it generates an initial occlusion strategy based on the scene's light intensity, spatial openness, and access restrictions. It further combines this with the patient's body posture information to identify occludeable areas. When the patient's chest, face, or breathing direction cannot be covered due to medical procedures or physiological limitations, the system only deploys the occlusion on occludeable areas such as the legs, sides, or back, ensuring that the coverage does not interfere with the operation of respiratory or monitoring equipment. Simultaneously, it uses wind direction data and rainfall prediction results to determine the main direction of rain intrusion, causing the occlusion structure to deploy towards the windward or rain-prone side, creating a lateral deflection effect that deflects rainwater along the occlusion side, preventing it from falling directly onto the patient. In general, when there is no space above the patient to provide cover and the monitoring equipment is at risk of being exposed to rain or moisture, the system automatically switches to the equipment priority protection mode. By adjusting the deployment angle and local coverage direction of the cover structure, the system aligns the cover position with critical areas such as the monitor, electrode patches, wiring interfaces, or infusion devices. This ensures that the equipment maintains basic protection capabilities under heavy rain or strong winds and rain conditions, while avoiding the cover structure from compressing the patient or affecting breathing. After the local cover is implemented, the system continues to monitor changes in environmental wind direction and raindrop landing point. If the wind direction reverses in a short period of time, the system will make a secondary correction to the cover deployment direction to keep the deflection effect stable. This achieves dynamic scene adaptation under different limiting conditions, local cover compensation, and equipment pre-protection functions.

[0024] The area that can be shielded refers to the area that the shielding mechanism can cover due to the patient's posture or medical procedure, including the sides or back of the legs. Deflection shielding refers to a shielding structure that uses asymmetrical deployment to deflect rain or wind. Equipment priority protection refers to adjusting the shielding target to monitoring equipment when it is impossible to shield the patient from above in order to reduce the impact of rain on it.

[0025] Example 4: This example addresses the problem of interference between shielding structures when multiple beds are simultaneously located in narrow corridors, inside ambulances, or elevator spaces during medical transport. It makes the shielding behavior no longer a completely independent single-bed action, but rather a unified coordination relationship formed based on the position, movement trend, and shielding requests of surrounding beds. Traditional independent shielding structures are prone to collisions when multiple beds are deployed simultaneously due to structural overlap, trajectory intersection, or excessive deployment range, thereby affecting patient safety and medical staff passage. Therefore, a coordination and scheduling method is needed that can exchange information on the position and movement progress of each bed in real time and sort them according to priority, so that the shielding device can maintain a stable, safe, and interference-free behavior mode in an environment where multiple beds are operating in parallel. By exchanging information such as bed location, occupancy request status and action progress via wireless communication, the occupancy execution order is prioritized according to the patient's need level, bed spacing and occupancy trajectory space, so that occupancy behavior avoids spatial interference when multiple beds are transferred at the same time. This embodiment equips each hospital bed with a short-range communication unit, enabling the bed to periodically broadcast its real-time location, the current stage of its occlusion action, and its future execution intention during movement. When multiple beds simultaneously request occlusion within the same area, the system matches the received location information with the distance between the beds, accurately describing their spatial relationships during the coordination and scheduling process. By calculating the patient's need level, environmental conditions, and the space required for occlusion deployment, different priorities are assigned to each bed. Beds with higher priority receive priority in the occlusion deployment process, while beds with lower priority are assigned priority based on the patient's needs. The system automatically delays actions based on the order of priority, preventing interference between occlusion trajectories. During actual execution, the system continuously updates the positional relationships based on the speed and direction of bed movement. When bed movement causes a deviation in the original priority order, the system recalculates the order to ensure the reliability of the occlusion process in the dynamic path. Only after the priority bed completes its occlusion action and releases the relevant space does the next bed begin its unfolding process, ensuring smoothness and safety of occlusion behavior in confined spaces. Through this continuously updated collaborative scheduling, occlusion control between multiple beds no longer interferes with each other, but is completed sequentially under a unified order.

[0026] Bed spacing refers to the real-time spatial distance between different beds; the space occupied by the occupancy trajectory refers to the range of space required for the occupancy structure to move during the unfolding or retraction process; priority ranking refers to the decision-making process of assigning the execution order of the occupancy actions of each bed according to the patient's condition and spatial conditions.

[0027] Example 5: This example addresses the issues of failing to respond in advance to environmental changes that will occur during medical transport and the lack of continuous correction capabilities after shielding is implemented. It enables shielding behavior to be controlled not only based on real-time data but also to prepare relevant actions in advance based on changes in path, weather, and vehicle speed. Furthermore, it allows for continuous fine-tuning based on changes in the patient's physiological state and the equipment status after shielding is implemented. This solves the problems of slow response, delayed action, and lack of secondary adjustment in traditional shielding systems when faced with sudden strong light, heavy rain, or changes in wind direction. It also enables the shielding process to maintain stability and smoothness in long-distance, multi-node transport routes. Based on route navigation, vehicle speed changes and weather forecast information, pre-expansion or pre-retraction instructions for shielding are generated in advance. When the shielding cannot be fully expanded in the patient's area, it automatically switches to auxiliary shielding mode. After shielding is executed, the shielding coverage and ventilation openings are continuously fine-tuned based on the patient's body temperature trend, skin temperature difference and equipment status. This embodiment continuously acquires path navigation data and speed change trends while the vehicle is moving or the hospital bed is shifting. It identifies upcoming environmental changes by detecting turning points, entrances / exits, and external weather forecasts. When the system determines that the hospital bed is about to leave an indoor area or enter a bright light exposure area, it issues a pre-deployment command to the shielding device, causing the shielding structure to enter a semi-deployed state to shorten the completion time of the final deployment. When entering a narrow or confined space, a pre-retraction command is issued, causing the shielding structure to retract in advance to avoid obstruction when space is insufficient. When the patient cannot be fully deployed due to monitoring equipment or medical operations, the system automatically switches to an auxiliary shielding mode, adjusting the deployment angle and local coverage direction of the shielding structure to create a more flexible shielding effect. The alternative biased protection allows patients to still receive partial shade or rain protection. After the shading action is completed, the system continuously collects the patient's body temperature trend and skin temperature difference, enabling real-time detection of local overheating or undercooling caused by shading. Based on the changing trend, the system fine-tunes the coverage or ventilation opening to keep the shading effect within a more suitable range. At the same time, the system monitors the status of monitoring equipment adjacent to the shading area. If there is a risk of moisture in the wiring or the surface temperature of the equipment changes beyond the safe range, the direction of the local shading is corrected again to ensure that the equipment receives the necessary environmental compensation. Through continuous closed-loop regulation, the shading process is always in dynamic equilibrium, enabling the system to maintain stable control capabilities during long-distance transportation and complex environmental cycles.

[0028] Predictive scheduling refers to the process of generating masking preparation actions in advance based on path and weather data. Assisted masking mode refers to an alternative mode that obtains partial masking effect by partially biasing the deployment when full deployment is not possible. Continuous fine-tuning refers to the process of making uninterrupted small adjustments to the coverage and ventilation openings based on the patient's body temperature and equipment status after the masking is executed.

[0029] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart occlusion control method applied to medical transport equipment, characterized in that: The control method relies on the following modules for implementation: The sensor acquisition module is used to acquire patient body temperature, skin temperature, heart rate, posture data, as well as environmental data such as light, temperature and humidity, ultraviolet intensity, vehicle door status, and scene images; The scene recognition module identifies the current scene of the hospital bed based on environmental data and scene images; The patient status analysis module generates patient demand factors based on changes in body temperature, thermal comfort indices, and posture data. The group communication and collaboration module is used to exchange locations, obstruction requests, and action progress when multiple beds are transferred simultaneously. The control decision module generates occlusion control strategies based on scene recognition results, patient demand factors, and group information. The predictive scheduling module outputs occlusion preparation instructions in advance based on path navigation, vehicle speed, or weather change prediction data. The occlusion execution module drives the occlusion mechanism to perform actions according to the occlusion control strategy and sends back the execution status. The closed-loop feedback module adaptively adjusts the occlusion control strategy based on changes in patient status and group behavior after occlusion is implemented.

2. The control method according to claim 1, characterized in that: When a patient's body temperature rises above a set threshold, the thermal comfort index exceeds the upper limit, or a change in posture results in a risk of lateral decubitus or exposure, the shielding coverage rate should be increased and the shielding deployment speed should be accelerated. When a patient's body temperature is below a preset lower limit or the thermal comfort index is low, the shielding coverage rate should be reduced and the ventilation opening area should be increased to promote heat dissipation.

3. The control method according to claim 1, characterized in that: The thermal comfort index is calculated by analyzing body temperature trends, skin temperature differences, and ambient temperature and humidity. Combined with posture recognition results, the coverage rate and movement speed are increased when body temperature rises or the thermal comfort index exceeds the upper limit. When body temperature is low, the coverage rate is reduced and the ventilation opening area is increased. The data trends of body temperature and skin temperature difference are continuously tracked after the shading is deployed or retracted. If the changes do not meet expectations, the coverage rate and ventilation opening are adjusted again.

4. The intelligent shielding control method for medical transport equipment according to claim 1, characterized in that: While determining the occlusion strategy based on the scene recognition results, the occlusion range is locally adjusted based on the area that the patient can be occluded, wind direction information, rainfall landing point prediction, and the location of medical equipment. When the patient cannot be completely covered, a lateral flow occlusion mode is adopted, and when the monitoring equipment is at risk of being rained on, the equipment priority protection strategy is switched.

5. The intelligent shielding control method for medical transport equipment according to claim 1, characterized in that: When it is not possible to fully cover the patient, rainwater is deflected along the side of the shield by lateral deflection. When there is a risk of moisture damage to the monitoring equipment, the shield is aligned with the monitor, electrode pads, line interfaces, or infusion devices. The shield deployment direction is then corrected a second time when the wind direction reverses.

6. The intelligent shielding control method for medical transport equipment according to claim 1, characterized in that: By exchanging information such as bed location, occupancy request status, and action progress via wireless communication, the occupancy execution order is prioritized according to the patient's need level, bed spacing, and the space occupied by the occupancy trajectory, so that the occupancy behavior avoids spatial interference when multiple beds are transferred at the same time.

7. The intelligent shielding control method for medical transport equipment according to claim 1, characterized in that: The positional relationship is continuously updated based on the speed and direction of bed movement. When the position change causes a deviation in the original priority ranking, the ranking is recalculated to ensure the reliability of the occlusion execution process in the dynamic path. The occlusion action of the next bed is executed only after the priority bed has completed the occlusion action and released space.

8. The intelligent shielding control method for medical transport equipment according to claim 1, characterized in that: Based on route navigation, vehicle speed changes, and weather forecast information, pre-deployment or pre-retraction instructions for shielding are generated in advance. When the shielding cannot be fully deployed in the patient's area, it automatically switches to auxiliary shielding mode. After shielding is executed, the shielding coverage and ventilation openings are continuously fine-tuned based on the patient's body temperature trend, skin temperature difference, and equipment status.

9. A medical delivery device, characterized in that: The above-mentioned intelligent occlusion control method is adopted.

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