Excretion care service device combined with artificial intelligence

Abstract

The application discloses a kind of excretion nursing service equipment combined with artificial intelligence, belongs to excretion nursing technical field including equipment main body, equipment main body bottom is rotatably provided with multiple casters, equipment main body top outer side is fixedly provided with multiple handrail file rods, equipment main body top middle part is fixedly provided with seat plate, and seat plate side is electrically controlled and rotatably connected with backrest, by building integrated perception, decision and execution integrated intelligent nursing system, artificial intelligence algorithm and bed body mechanical structure are deeply fused, can realize excretion behavior pre-judgment, multi-scene posture self-adaptive adjustment, personalized washing and nursing and automatic storage etc. Whole-process intelligent nursing, both can greatly reduce the frequency and work burden of artificial nursing, can also accurately adapt to the nursing needs of different users, effectively improve the nursing comfort and quality of life of bedridden users, while relying on continuous data acquisition and analysis capability, provide reliable support for user health status monitoring and nursing scheme optimization.

Description

Technical Field

[0001] This invention relates to the field of excretion care technology, and more specifically, to an excretion care service device that incorporates artificial intelligence. Background Technology

[0002] In existing technologies, the excretion care for disabled people who are bedridden for a long time, postoperative rehabilitation patients, and the elderly population mostly relies on manual assistance from caregivers. Ordinary nursing beds only have basic lying and simple posture adjustment functions. Intelligent excretion care equipment is gradually being applied in hospital intensive care units, nursing areas of elderly care institutions, and home care scenarios to assist in basic nursing operations such as excretion reception, local cleaning, and bed posture adjustment for bedridden users, which alleviates the workload of manual care to a certain extent.

[0003] However, existing excretion care equipment generally suffers from insufficient intelligence. Most devices only support manual triggering of the excretion care process and cannot actively sense or predict the user's excretion behavior, which can easily lead to missing the best care time and causing skin maceration and discomfort. At the same time, the device's posture adjustment mode is fixed and cannot be dynamically adapted to the user's body shape and care scenario. The washing and care process parameters are simple and difficult to match the cleaning needs of different excretion states. Furthermore, there is a lack of systematic health data monitoring and safety protection mechanisms. It is difficult to achieve fully unattended automated care and cannot provide data support for assessing the user's health status. Overall, there is still considerable room for improvement in care efficiency and user experience. Summary of the Invention

[0004] The purpose of this invention is to provide an excretion care service device that incorporates artificial intelligence to solve the problems mentioned in the background art.

[0005] An artificial intelligence-integrated excretion care service device includes a main body with multiple casters rotatably mounted on the bottom. Multiple armrests are fixedly mounted on the outer side of the top of the main body. A seat is fixedly mounted on the center of the top of the main body. A backrest is electrically rotatably connected to one side of the seat, and a leg rest is electrically rotatably connected to the other side. A foot pad is electrically rotatably connected to the side of the leg rest away from the seat. An excretion outlet is perforated through the center of the top of the seat. A toilet door is electrically flipped at the bottom of the excretion outlet. A telescopic rod is fixedly mounted on the top of the main body at the bottom of the excretion outlet. A waste bag mounting bracket is fixedly mounted at the output end of the telescopic rod. The waste bag mounting bracket is located below the excretion outlet and is used to secure the required waste bags. An excretion care service system is installed inside the main body. The excretion care service system includes an artificial intelligence service module, which comprises a sensing unit, an AI decision-making unit, and an execution control unit. The sensing unit is deployed on the main body of the device and the seat, and is used to collect user physiological information, bed posture information, and excretion status information. The AI ​​decision-making unit is communicatively connected to the sensing unit and the execution control unit, and has multiple built-in intelligent algorithm models, used to generate corresponding nursing control commands based on the information collected by the sensing unit. The execution control unit is electrically connected to the backrest, leg rest, footrest, commode door, telescopic rod, and excrement garbage bag mounting rack, and is used to receive control commands from the AI ​​decision-making unit and drive each mechanism to complete the entire excretion care process.

[0006] Preferably, the sensing unit includes an excretion sensing subunit, a posture sensing subunit, a vital signs sensing subunit, and a consumable status subunit; the excretion sensing subunit is integrated around the excretion port of the seat and includes a humidity sensor, an odor sensor, and a pressure sensor for collecting excretion start and end signals and excrement characteristic data; the posture sensing subunit is located at the rotation axis of the backrest, leg rest, and footrest for collecting real-time angle data of each rotating component; the vital signs sensing subunit is integrated inside the mattress for collecting the user's heart rate, respiratory rate, and body movement data; the consumable status subunit is located at the excrement bag mounting rack and the washing and care liquid storage tank for collecting data on the remaining amount of the garbage bag and the remaining amount of the cleaning liquid.

[0007] Preferably, the AI ​​decision-making unit incorporates an excretion behavior prediction model and an excretion status recognition model; the excretion behavior prediction model is used to predict excretion behavior in advance and issue preprocessing instructions based on the user's historical excretion patterns, real-time vital sign fluctuations and body movement characteristics; the excretion status recognition model is used to fuse multi-sensor data, distinguish between urination and defecation types, excretion volume and excrement properties, identify abnormal excretion characteristics, and complete cleanliness verification after the washing and care process.

[0008] Preferably, the AI ​​decision-making unit has a built-in posture adaptive adjustment model, which is used to dynamically adjust the bed posture within the range of hardware parameters according to the user's body shape, body pressure distribution and nursing scenario: in the excretion scenario, it automatically adjusts the angle between the backrest and the horizontal plane to 0-65° and the angle between the leg rest and the horizontal plane to 0-22° to form a defecation-assisted sitting posture; in the pressure ulcer care scenario, it drives the bed to complete alternating side-turning from 0-36°; in the foot washing scenario, it controls the foot pad to rotate to be parallel to the ground, and cooperates with the backrest to raise to make it easier for the user to sit up.

[0009] Preferably, the AI ​​decision unit has a built-in adaptive washing and care decision model, which is used to dynamically adjust the washing water temperature, washing water pressure, washing time, drying temperature, drying time and sterilization and deodorization mode according to the excretion type and excrement properties. After washing and care, the execution control unit drives the excrement garbage bag mounting rack to seal and pack the garbage bag, and with the help of the telescopic rod, it lowers to complete the bag collection, and then controls the toilet door to flip and close.

[0010] Preferably, the execution control unit has built-in posture linkage control logic, supporting one-button sit-up and one-button lie-down functions; when the one-button sit-up is triggered, the backrest is simultaneously raised and the leg rest and footrest are lowered; when the one-button lie-down is triggered, the components are simultaneously reset, shortening the posture switching time; each rotating mechanism of the bed has built-in dual bearings, which, together with the soft start and soft stop logic of the execution control unit, achieve low-noise and stable operation.

[0011] Preferably, the system further includes a human-machine interface terminal, which includes a wired handheld controller and a mobile terminal APP; the wired handheld controller is electrically connected to the execution control unit and is used to manually trigger the bed posture adjustment and excretion care functions; each nursing bed corresponds to a unique identification QR code, and the mobile terminal APP binds to the device by scanning the QR code to realize remote control, status viewing, nursing log query and alarm reception.

[0012] Preferably, the casters are four 4-inch silent swivel casters, each equipped with a foot brake structure, which can fix the bed after braking and move freely after unlocking; the overall dimensions of the main body of the device are 2000mm×900mm, and the height of the bed surface including the mattress from the ground is 470mm.

[0013] Preferably, the headboard and footboard are detachably mounted at both ends of the main body of the equipment. They are made of 30mm thick solid wood and B1-grade fire-resistant board composite structure, with ash wood veneer on the surface. The headboard is covered with a soft layer, and the footboard is provided with a hollow support section. Both are quick-install and quick-disassembled with the main body of the equipment. A mattress with a waterproof cloth cover and an environmentally friendly palm fiber and sponge composite inner core is laid on the seat. The bed frame of the main body of the equipment is welded from steel pipes and the surface is powder-coated for rust prevention.

[0014] Preferably, the AI ​​decision-making unit also has a built-in health assessment and safety early warning model, which is used to generate periodic health care reports based on long-term excretion data and vital sign data, and to provide graded early warnings for abnormal excretion, abnormal vital signs, equipment failure and usage risks; all bed movements are verified for safety before execution, and angle limit, overload protection and anti-pinch protection are implemented; the system is also equipped with optional accessories, which are one or more of the following: safety belt, Ezviz camera, vital sign detection module.

[0015] Compared with the prior art, the advantages of this invention are: By building an integrated intelligent nursing system that combines perception, decision-making, and execution, and deeply integrating artificial intelligence algorithms with the bed's mechanical structure, it can achieve intelligent nursing throughout the entire process, including predicting excretion behavior, adaptive adjustment of posture in multiple scenarios, personalized washing and care, and automated storage. This can significantly reduce the frequency and workload of manual nursing, accurately adapt to the nursing needs of different users, effectively improve the nursing comfort and quality of life of bedridden users, and provide reliable support for monitoring user health status and optimizing nursing plans based on continuous data collection and analysis capabilities.

[0016] The device, through the deployment of multi-dimensional sensing units, achieves comprehensive real-time data collection of the user's physiological state, bed posture, excretion status, and consumable inventory. Combined with multiple algorithm models from the AI ​​decision-making unit, it can predict user excretion behavior based on historical patterns and vital sign fluctuations, proactively adjusting bed posture and pre-processing the device to prevent leakage and skin contamination caused by delayed response. The multi-sensor fusion excretion status recognition method accurately distinguishes excretion type, volume, and characteristics, providing precise data for subsequent washing and care processes and timely identifying abnormal excretion characteristics, offering clues for health risk screening. Compared to traditional single-trigger nursing devices, its sensing accuracy and proactive response are significantly improved.

[0017] Based on a posture adaptive adjustment model, the device can break through the limitations of fixed adjustment positions in traditional nursing beds. According to the user's body shape data, body pressure distribution, and specific care scenario, it dynamically adjusts the rotation angle of each component of the bed within the hardware safety parameter range to match the user with the most ergonomic posture. In defecation scenarios, the posture assistance for bowel movements reduces abdominal pressure through angle adjustment, facilitating a smoother defecation process. In pressure ulcer care scenarios, the alternating side-turning function periodically changes the pressure points on the user's body, effectively preventing pressure ulcers caused by prolonged bed rest. Posture adaptation for daily care scenarios such as foot washing expands the device's application scenarios, allowing daily care operations to be completed without additional auxiliary tools, significantly improving the device's practicality and user care experience.

[0018] The application of an adaptive washing and care decision model makes the equipment's cleaning and care process more targeted. Based on the identified excrement type and characteristics, it flexibly adjusts parameters such as washing water temperature, water pressure, duration, and drying, sterilization, and deodorization. This ensures sufficient cleaning results under different excrement conditions while avoiding water waste or incomplete cleaning caused by uniform parameters. After the washing and care process is completed, the equipment automatically seals and reassembles the waste bags, eliminating the need for manual intervention in handling excrement. This reduces the probability of caregivers coming into contact with contaminants, lowers the risk of cross-infection, and maintains a clean and odor-free environment around the bed. Simultaneously, the consumables status monitoring function promptly reminds users to replenish consumables, preventing disruptions to the normal operation of the care process due to consumable depletion.

[0019] The equipment's multi-terminal human-computer interaction system and health and safety management mechanism further enhance its ease of use and operational safety. The wired handheld controller meets the needs of manual operation at the bedside, while the mobile terminal APP enables remote control, status viewing, and nursing log queries, allowing caregivers or family members to monitor the user's care at any time. The health assessment and safety early warning model generates nursing reports based on long-term accumulated excretion and vital sign data, providing tiered warnings for abnormal conditions to help identify potential health risks promptly. A full-process safety verification mechanism and multiple protection functions prevent risks such as angle exceeding limits, overload, and pinching injuries during equipment operation. Combined with the expandability of optional accessories, it can adapt to the personalized care needs of different users, comprehensively strengthening the equipment's applicability and safety capabilities. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a schematic diagram of the module structure of the excretion care service system of the present invention.

[0021] The following are the labels in the diagram: 1. Main body of the equipment; 10. Casters; 11. Handrail; 12. Telescopic rod; 13. Garbage bag mounting rack; 2. Seat; 20. Backrest; 21. Leg rest; 22. Foot pad; 23. Excretion outlet; 24. Toilet door. Detailed Implementation

[0022] Example: Please refer to Figures 1-2An artificial intelligence-integrated excretion care service device includes a main body 1. Multiple casters 10 are rotatably mounted on the bottom of the main body 1. Multiple handrails 11 are fixedly mounted on the outer side of the top of the main body 1. A seat 2 is fixedly mounted on the center of the top of the main body 1. A backrest 20 is electrically rotatably connected to one side of the seat 2, and a leg rest 21 is electrically rotatably connected to the other side of the seat 2. A foot pad 22 is electrically rotatably connected to the side of the leg rest 21 away from the seat 2. An excretion outlet 23 is penetrated through the center of the top of the seat 2. A toilet door 24 is electrically flipped at the bottom of the excretion outlet 23. A telescopic rod 12 is fixedly mounted on the top of the main body 1 at the bottom of the excretion outlet 23. A waste bag mounting bracket 13 is fixedly mounted at the output end of the telescopic rod 12. The waste bag mounting bracket 13 is located below the excretion outlet 23 and is used to fix the required waste bags. The device is equipped with an excretion care service system. This system includes an artificial intelligence service module, which comprises a sensing unit, an AI decision-making unit, and an execution control unit. The sensing unit is located on the main body 1 and the seat 2, and is used to collect user physiological information, bed posture information, and excretion status information. The AI ​​decision-making unit is communicatively connected to the sensing unit and the execution control unit, and has multiple built-in intelligent algorithm models to generate corresponding nursing control commands based on the information collected by the sensing unit. The execution control unit is electrically connected to the backrest 20, leg rest 21, footrest 22, toilet door 24, telescopic rod 12, and excrement garbage bag mounting rack 13, and is used to receive control commands from the AI ​​decision-making unit to drive each mechanism to complete the entire excretion care process. During use, the sensing unit collects various status data of the bed and the user in real time and transmits them to the AI ​​decision-making unit. The AI ​​decision-making unit analyzes and processes the data through built-in algorithms to generate control commands, which are then sent to the execution control unit. The execution control unit drives the backrest, leg rest, footrest, toilet door, telescopic rod, and garbage bag mounting rack to work together to complete the entire process of excretion care, including posture adjustment, toilet door opening and closing, and garbage bag raising and lowering. Through the intelligent system design of the three-level architecture of sensing, decision-making, and execution, the excretion care process is automated and closed-loop, completing the entire care procedure without manual operation, effectively reducing the intensity of manual care and improving the timeliness and accuracy of care response.

[0023] Specifically, the sensing unit includes an excretion sensing subunit, a posture sensing subunit, a vital signs sensing subunit, and a consumable status subunit. The excretion sensing subunit is integrated around the excretion port 23 of the seat 2 and includes a humidity sensor, an odor sensor, and a pressure sensor to collect excretion start and stop signals and excrement characteristic data. The posture sensing subunit is located at the rotation axis of the backrest 20, leg rest 21, and footrest 22 to collect real-time angle data of each rotating component. The vital signs sensing subunit is integrated inside the mattress to collect the user's heart rate, respiratory rate, and body movement data. The consumable status subunit is located at the excrement bag mounting rack 13 and the washing and care liquid storage tank to collect data on the remaining amount of the garbage bag and the remaining amount of the cleaning liquid. During use, each subunit collects status information from different dimensions. The excretion sensing subunit captures signals of excretion and the properties of excrement through multiple sensors; the posture sensing subunit provides real-time feedback on the angle data of each rotating part of the bed; the vital signs sensing subunit continuously monitors the user's vital signs and body movements; and the consumables status subunit tracks the remaining amount of nursing consumables. Through the collaborative sensing of multiple subunits, comprehensive data collection across all dimensions of nursing care is achieved, providing a comprehensive and accurate data foundation for AI decision-making. Simultaneously, it can promptly detect consumable shortages, ensuring the continuous and stable operation of the nursing process.

[0024] Specifically, the AI ​​decision-making unit incorporates a pre-emptive excretion behavior prediction model and an excretion status recognition model. The pre-emptive excretion behavior prediction model predicts excretion behavior and issues pre-processing instructions based on the user's historical excretion patterns, real-time vital sign fluctuations, and body movement characteristics. The excretion status recognition model integrates multi-sensor data to distinguish between the type, volume, and characteristics of urine and feces, identify abnormal excretion features, and perform cleanliness verification after the washing and care process. During use, the pre-emptive excretion behavior prediction model retrieves the user's historical excretion data and combines it with real-time collected vital sign and body movement information to predict excretion behavior and trigger bed pre-processing actions. The excretion status recognition model integrates data collected from multiple sensors to identify and judge the specific type, amount, and characteristics of excretion, and verifies the cleaning effect after washing and care. Through the collaborative operation of the two models, pre-emptive response and accurate identification of excretion care are achieved. This not only allows for advance preparation to avoid leakage but also provides accurate data for subsequent washing and care processes, while promptly detecting abnormal excretion and assisting in health risk screening.

[0025] Specifically, the AI ​​decision-making unit incorporates a posture adaptive adjustment model to dynamically adjust the bed's posture within the hardware parameter range based on the user's body type, pressure distribution, and nursing scenario: In the defecation scenario, it automatically adjusts the angle between the backrest 20 and the horizontal plane to 0-65° and the leg rest 21 to 0-22°, creating an assisted defecation sitting posture; in the pressure ulcer care scenario, it drives the bed to alternately roll left and right from 0-36°; in the foot washing scenario, it controls the footrest 22 to rotate until it is parallel to the ground, coordinating with the lifting of the backrest 20 to facilitate the user sitting up. During use, the posture adaptive adjustment model combines the user's basic information with the current nursing scenario requirements to calculate the optimal bed posture parameters, and then sends commands to the execution control unit to drive the backrest, leg rest, and footrest to rotate to the corresponding angles, adapting to the posture requirements of different scenarios such as defecation, pressure ulcer care, and foot washing. By adopting an adaptive posture adjustment method, it breaks through the limitations of the fixed positions of traditional nursing beds, can match different user body shapes and diverse nursing scenarios, and improves user comfort by conforming to ergonomic design. At the same time, it assists in defecation, prevents pressure sores, and expands the boundaries of the device's nursing functions.

[0026] Specifically, the AI ​​decision-making unit incorporates an adaptive washing and care decision-making model to dynamically adjust the washing water temperature, water pressure, washing time, drying temperature, drying time, and sterilization and deodorization mode based on the type and characteristics of excrement. After washing and care, the execution control unit drives the excrement bag mounting rack 13 to seal and pack the garbage bags, and the telescopic rod 12 lowers to collect the bags. The door 24 then flips open and closes. In use, the adaptive washing and care decision-making model generates corresponding washing and care parameter combinations based on the identified excrement type and characteristics, driving the washing and care mechanism to perform the corresponding cleaning and drying operations. After washing and care, the execution control unit controls the garbage bag mounting rack to seal and pack the bags, the telescopic rod lowers the mounting rack for storage, and finally the door closes to complete the entire process. Personalized washing and care parameter adjustments can adapt to the cleaning needs of different excrement situations, ensuring cleaning effectiveness while improving washing and care comfort. The automated packing and storage process eliminates the need for manual contact with waste, reducing the workload of caregivers and the risk of cross-infection.

[0027] Specifically, the execution control unit incorporates posture linkage control logic, supporting one-button sitting up and one-button lying down functions. When the one-button sitting up is triggered, the backrest 20 is simultaneously raised and the leg rest 21 and footrest 22 are lowered. When the one-button lying down is triggered, all components are simultaneously reset, shortening the posture switching time. Each rotating mechanism of the bed has built-in dual bearings, which, in conjunction with the execution control unit's smooth start-stop logic, achieve low-noise and stable operation. During use, after triggering the corresponding function button, the execution control unit synchronously drives multiple rotating components to work together according to the linkage logic, quickly completing the posture switch between sitting up and lying down. Simultaneously, the smooth start-stop logic, combined with the dual-bearing structure, ensures that the components maintain a smooth speed change during start-up and stop. Through this posture linkage control design, the time for bed posture switching is significantly shortened, simplifying the operation steps. The low-noise and stable operation avoids noise interference and jerking during equipment operation, improving the user experience and the friendliness of nighttime care.

[0028] Specifically, the system also includes a human-machine interface terminal, which comprises a wired handheld controller and a mobile app. The wired handheld controller is electrically connected to the execution control unit for manually triggering bed posture adjustment and urination / defecation functions. Each nursing bed has a unique QR code; the mobile app binds to the device by scanning the QR code, enabling remote control, status monitoring, nursing log querying, and alarm reception. During use, bedside caregivers can directly issue operation commands via the wired handheld controller, while family members or remote caregivers can bind to the device via the mobile app by scanning the QR code, remotely viewing the device's operating status, nursing records, and receiving alarm information, as well as remotely issuing control commands. This dual-terminal human-machine interface design balances the convenience of close-range operation with the flexibility of remote control, facilitating nursing operations in different scenarios. Simultaneously, the nursing log and alarm functions help caregivers promptly grasp the user's nursing situation and equipment status, improving nursing management efficiency.

[0029] Specifically, the casters 10 consist of four 4-inch silent swivel casters, each equipped with a foot brake. Braking the casters secures the bed, while unlocking them allows for free movement. The overall dimensions of the main unit are 2000mm x 900mm, with the bed surface including the mattress at a height of 470mm from the ground. During use, unlocking the foot brakes on the casters allows the bed to be moved; once at the desired location, pressing the foot brakes secures the bed, preventing displacement during use. The silent swivel casters provide flexible mobility, facilitating user transfers and adjustments to the equipment's placement. The foot brakes ensure stability during use, and the standardized bed dimensions fit most home and institutional space layouts, meeting the needs of typical nursing scenarios.

[0030] Specifically, the main body of the equipment 1 features detachable headboards and footboards at both ends, constructed from a composite structure of 30mm thick solid wood and B1-grade fire-resistant board, with an ash veneer on the surface. The headboards have a soft upholstery, while the footboards have a perforated support section; both are designed for quick assembly and disassembly with the main body of the equipment 1. A mattress with a waterproof cover and an inner lining of environmentally friendly palm fiber and sponge is placed on top of the seat 2. The bed frame of the main body of the equipment 1 is welded from steel pipes and treated with powder coating for rust prevention. During use, the headboards and footboards can be quickly assembled and disassembled according to the needs of the scenario. The mattress provides support for the user while the bed frame bears the load of the entire structure. By using fire-resistant and moisture-proof composite boards and a rust-proof bed frame structure, the durability and safety of the equipment are improved. The waterproof mattress facilitates cleaning and maintenance, and the quick assembly and disassembly design makes transportation and storage convenient. Furthermore, the solid wood exterior design softens the appearance of medical equipment, making it more suitable for home and elderly care facility environments.

[0031] Specifically, the AI ​​decision-making unit also incorporates a health assessment and safety early warning model. This model generates periodic health care reports based on long-term excretion and vital sign data, providing tiered warnings for abnormal excretion, abnormal vital signs, equipment malfunctions, and usage risks. All bed movements undergo safety verification before execution, implementing angle limits, overload protection, and anti-pinch protection. The system also offers optional accessories, including one or more of a safety belt, an Ezviz camera, and a vital sign detection module. During use, the health assessment and safety early warning model continuously analyzes accumulated user data, regularly generates health care reports, and issues warnings based on risk levels when abnormal conditions are detected. The equipment performs safety verification before any action, confirming that parameters are within safe ranges before starting operation. Users can also select corresponding functional accessories according to their needs. Through the health assessment and early warning mechanism, long-term tracking and risk warnings of the user's health status can be achieved. Multiple safety protections comprehensively avoid potential safety hazards during equipment operation. The optional accessory design allows for flexible functional expansion of the equipment, adapting to the personalized care needs of different users.

[0032] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An excretion care service device incorporating artificial intelligence, comprising a main body (1), characterized in that: The bottom of the main body (1) of the equipment is provided with multiple casters (10) for rotation. Multiple handrails (11) are fixedly provided on the outer side of the top of the main body (1). A seat (2) is fixedly provided in the middle of the top of the main body (1). A backrest (20) is electrically rotatably connected to one side of the seat (2). A leg rest (21) is electrically rotatably connected to the other side of the seat (2). A foot pad (22) is electrically rotatably connected to the side of the leg rest (21) away from the seat (2). A through-hole is provided in the middle of the top of the seat (2). The device has a drain outlet (23), and the bottom of the seat (2) is electrically controlled to flip and install a toilet door (24) at the bottom of the drain outlet (23). The top of the device body (1) is fixedly installed with a telescopic rod (12) at the bottom of the drain outlet (23). The output end of the telescopic rod (12) is fixedly installed with an excrement garbage bag mounting rack (13). The excrement garbage bag mounting rack (13) is located below the drain outlet (23) and is used to fix the required garbage bags. The device body (1) is equipped with an excretion care service system. The excretion care service system includes an artificial intelligence service module, which includes a sensing unit, an AI decision-making unit, and an execution control unit. The sensing unit is installed on the main body (1) and the seat (2) of the equipment and is used to collect user physiological information, bed posture information, and excretion status information. The AI ​​decision-making unit is connected to the sensing unit and the execution control unit respectively, and has multiple sets of intelligent algorithm models built in, which are used to generate corresponding nursing control instructions based on the information collected by the sensing unit. The execution control unit is electrically connected to the backrest (20), leg rest (21), foot pad (22), toilet door (24), telescopic rod (12), and excrement garbage bag mounting rack (13) respectively, and is used to receive control instructions from the AI ​​decision-making unit and drive each mechanism to complete the entire process of excretion care.

2. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The sensing unit includes an excretion sensing subunit, a posture sensing subunit, a vital signs sensing subunit, and a consumable status subunit. The excretion sensing subunit is integrated around the excretion port (23) of the seat (2) and includes a humidity sensor, an odor sensor, and a pressure sensor to collect excretion start and end signals and excrement characteristic data. The posture sensing subunit is located at the rotation axis of the backrest (20), leg rest (21), and footrest (22) to collect real-time angle data of each rotating component. The vital signs sensing subunit is integrated inside the mattress to collect user heart rate, respiratory rate, and body movement data. The consumable status subunit is located at the excrement garbage bag mounting rack (13) and the washing and care liquid storage tank to collect garbage bag remaining amount and cleaning liquid remaining amount data.

3. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The AI ​​decision-making unit incorporates an excretion behavior prediction model and an excretion status recognition model. The excretion behavior prediction model is used to predict excretion behavior in advance and issue preprocessing instructions based on the user's historical excretion patterns, real-time vital sign fluctuations, and body movement characteristics. The excretion status recognition model is used to fuse multi-sensor data, distinguish between the type of urine and feces, the amount of excrement, and the properties of excrement, identify abnormal excretion characteristics, and complete cleanliness verification after the washing and care process.

4. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The AI ​​decision unit has a built-in posture adaptive adjustment model, which is used to dynamically adjust the bed posture within the range of hardware parameters according to the user's body shape, body pressure distribution and nursing scenario: in the excretion scenario, the backrest (20) is automatically adjusted to an angle of 0-65° with the horizontal plane and the leg rest (21) is adjusted to an angle of 0-22° with the horizontal plane to form a defecation-assisted sitting posture; in the pressure ulcer care scenario, the bed is driven to complete alternating side rolls of 0-36°; in the foot washing scenario, the foot pad (22) is controlled to rotate to be parallel to the ground, and the backrest (20) is raised to make it easier for the user to sit up.

5. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The AI ​​decision unit has a built-in adaptive washing and care decision model, which is used to dynamically adjust the washing water temperature, washing water pressure, washing time, drying temperature, drying time and sterilization and deodorization mode according to the excretion type and excrement properties. After washing and care, the execution control unit drives the excrement garbage bag mounting rack (13) to seal and pack the garbage bag, and with the help of the telescopic rod (12) to fall back to complete the bag collection. Then, the control unit controls the toilet door (24) to flip and close.

6. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The execution control unit has built-in posture linkage control logic, which supports one-click sitting up and one-click lying down functions; when one-click sitting up is triggered, the backrest (20) is driven to rise and the leg rest (21) and footrest (22) are driven to fall simultaneously; when one-click lying down is triggered, each component is driven to reset simultaneously, shortening the posture switching time; each rotating mechanism of the bed has built-in double bearings, which, together with the slow start and slow stop logic of the execution control unit, achieve low noise and smooth operation.

7. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The system also includes a human-machine interface terminal, which comprises a wired handheld controller and a mobile terminal APP. The wired handheld controller is electrically connected to the execution control unit and is used to manually trigger the bed posture adjustment and excretion care functions. Each nursing bed corresponds to a unique identification QR code. The mobile terminal APP binds to the device by scanning the QR code, enabling remote control, status viewing, nursing log query, and alarm reception.

8. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The casters (10) are four 4-inch silent omnidirectional casters. Each caster is equipped with a foot brake structure. After braking, the bed is fixed and after unlocking, it can move freely. The overall dimensions of the main body of the equipment are 2000mm×900mm, and the height of the bed surface including the mattress from the ground is 470mm.

9. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The headboard and footboard of the main body (1) are detachably installed at both ends. They are made of 30mm thick solid wood and B1 grade fireproof board composite structure, with ash wood veneer on the surface. The headboard is equipped with a soft covering layer, and the footboard is equipped with a hollow support part. The two are quick-install and quick-disassemble structure with the main body (1). The seat board (2) is covered with a mattress with a waterproof cloth cover and an environmentally friendly palm mattress and sponge composite inner core. The bed frame of the main body (1) is made of steel pipe welded and the surface is powder coated for rust prevention.

10. The excretion care service device combining artificial intelligence according to claim 1, characterized in that: The AI ​​decision-making unit also has a built-in health assessment and safety early warning model, which is used to generate periodic health care reports based on long-term excretion data and vital sign data, and to provide graded early warnings for abnormal excretion, abnormal vital signs, equipment failure and usage risks; all bed movements are verified for safety before execution, and angle limit, overload protection and anti-pinch protection are implemented; the system is also equipped with optional accessories, which are one or more of the following: safety belt, Ezviz camera, vital sign detection module.

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