Intelligent temperature control bed for old people and temperature control system

Abstract

The invention discloses an intelligent temperature control bed for old people, the intelligent temperature control bed comprises a bed frame and a mattress, the bed frame is composed of a frame groove, a headboard and bed legs, the frame, the headboard and the bed legs are connected and fixed through screws, and the mattress is placed in the frame groove; the mattress is divided into a head area, a trunk area, a leg area and a foot area, and each area in the mattress is separated by a thermal insulation layer; a heating device is arranged in each area of the mattress; the problems that an existing mattress is prone to excessive heating and does not have a personalized cooling function are solved, all the areas of the mattress are separated through the thermal insulation layers, the graphene electric heating devices are arranged in the mattress, local precise temperature control can be achieved, and the personalized requirements of old people for the temperature of different parts are met. And the temperature control module accurately regulates and controls the temperature according to a preset temperature threshold value in combination with data of the temperature sensor, and supercooling or superheating is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of products for the elderly, and particularly to an intelligent temperature control bed for the elderly and a temperature control system. Background Art

[0002] As people age, the physiological functions of the elderly gradually decline. Their metabolism slows down, and the body's heat production ability decreases. Therefore, they tend to feel colder than the young during sleep. At the same time, the function of the skin receptors of the elderly decreases, and the ability to perceive temperature changes becomes weaker. They cannot perceive temperature changes as quickly and accurately as the young and make corresponding responses. For example, when the temperature is slightly lower, the young may quickly feel the cold and add clothes, while the elderly may take longer to notice, which easily causes the elderly to catch a cold due to too low temperature during sleep. On the other hand, the function of the body temperature regulation center of the elderly also declines, and the ability to regulate body temperature by themselves becomes worse. Therefore, external devices are needed to more precisely maintain a suitable sleep temperature.

[0003] In the existing field of sleep temperature control, common ones are ordinary air conditioners and electric blankets. For the elderly, although the air conditioner can adjust the overall indoor temperature, it cannot accurately provide a suitable sleep temperature for an individual. For example, in the cold winter, after the air conditioner is turned on for heating, the indoor air is likely to become dry. The respiratory mucosa of the elderly is relatively fragile and is prone to discomfort, such as symptoms like dry and sore throat, cough, etc., which affect the sleep quality. Moreover, the temperature adjustment range of the air conditioner is based on the entire room, and it is difficult to meet the personalized needs of the elderly for local temperature during sleep.

[0004] Although the electric blanket can provide local warmth to a certain extent, its temperature adjustment is relatively rough. Usually, there are only a few simple temperature options and it cannot accurately adjust the temperature according to the real-time condition of the elderly's body and environmental changes. Prolonged use of a higher temperature setting may cause dry and itchy skin for the elderly, and there is even a risk of low-temperature burns. Especially for some elderly people with limited mobility and dull senses, this risk is more prominent.

[0005] Moreover, after the mattress is heated to a fixed temperature, although the heating device has stopped working, the heating wire or heating sheet will still have residual heat and continue to heat for a period of time. At this time, due to the weak skin temperature sensation of the elderly, it is easy to overheat.

[0006] Finally, in hot summer weather, some elderly people are more sensitive to the cold air of the air conditioner and are prone to catching a cold, while the existing mattresses lack a cooling function. Summary of the Invention

[0007] The present invention aims to solve the above-mentioned existing technical problems and provides an intelligent temperature control bed for the elderly.

[0008] The technical solution of the present invention is implemented as follows:

[0009] An intelligent temperature-controlled bed for the elderly includes a bed frame and a mattress. The bed frame is composed of a border groove, a headboard, and bed feet. The border, headboard, and bed feet are connected and fixed by screws. The mattress is placed in the border groove.

[0010] The mattress is divided into a head area, a torso area, a leg area, and a foot area. Each area within the mattress is separated by a heat-insulating layer.

[0011] Each area of the mattress is internally provided with a heating device.

[0012] The heating device is a graphene electrothermal device.

[0013] An air-permeable layer is also laid on the top surface of the mattress. Multiple pressure sensors are provided inside the air-permeable layer.

[0014] A master control device and an external power supply are provided at the bottom of the bed tail of the bed frame.

[0015] A camera is provided at the top of the headboard facing the direction of the mattress.

[0016] Ventilation openings are provided on the inner side of the border groove. The ventilation openings are communicated with an air duct, and the air duct is communicated with a silent fan. The silent fan is provided at the bottom of the bed frame.

[0017] The heat-insulating layer is a latex layer, and mattress springs are provided inside the latex layer.

[0018] The master control device is wirelessly connected to the pressure sensors, heating devices, and cameras.

[0019] The master control device includes a temperature control system. The temperature control system includes a visual recognition module and a temperature control module. The visual recognition module obtains signals of real-time pressure changes through the pressure sensors. When the signals transmitted by the pressure sensors change, signal points of each area are formed. The signal points at the outermost edges of each area are connected into lines to form a fuzzy image of different areas. Then, the fuzzy images of each area are combined into a fuzzy image. The camera obtains real-time photos and compares them with the fuzzy image to determine whether there is someone lying on the bed. If so, the fuzzy image is transmitted to the temperature control module. The temperature control module obtains the surface temperature of the mattress through a temperature sensor, determines whether the temperature meets the human body's needs, and performs heating or cooling by the silent fan.

[0020] The temperature control module pre-sets a temperature threshold for each area of the mattress. When the temperature is less than or greater than the temperature threshold, the temperature control module will intervene and regulate.

[0021] When the absolute value of the surface temperature in different regions of the mattress being greater than or less than the temperature threshold is less than 1, the temperature control module stops interfering to regulate the temperature. When the absolute value of the surface temperature in different regions of the mattress being greater than or less than the temperature threshold is greater than 1, the temperature control module will interfere to regulate the temperature.

[0022] The present invention solves the problems that current mattresses are prone to overheating and lack personalized cooling functions. Moreover, in the present invention, each region of the mattress is separated by a heat insulation layer, and a graphene electrothermal device is built-in, which can achieve local precise temperature control and meet the personalized needs of the elderly for the temperature of different parts. The temperature control module accurately regulates the temperature according to the preset temperature threshold and combines the data of the temperature sensor to avoid being too cold or too hot. The present invention uses the temperature control module and the visual recognition module to cooperate through the pressure sensor and the camera. The visual recognition module determines whether there is someone lying on the bed to achieve intelligent temperature control. When there is someone, the temperature control module automatically adjusts the temperature without the need for the elderly to manually operate, which is convenient for the elderly with inconvenient mobility to use and improves the sleep quality. Brief Description of the Drawings

[0023] Figure 1 is a schematic structural diagram of the present invention.

[0024] Figure 2 is a top view of the mattress of the present invention.

[0025] Figure 3 is a schematic diagram of the heat insulation layer of the mattress of the present invention.

[0026] Figure 4 is a schematic diagram of the ventilation openings opened in the frame border groove of the present invention.

[0027] Figure 5 is a schematic diagram of the temperature control system of the present invention.

[0028] 1 - Bed frame; 2 - Mattress; 3 - Border groove; 4 - Headboard; 5 - Camera; 6 - Heating device; 7 - Spring; 8 - Heat insulation layer; 9 - Temperature sensor; 10 - Pressure sensor; 11 - Ventilation opening; 12 - Head region; 13 - Trunk region; 14 - Leg region; 15 - Foot region. Detailed Description of the Invention

[0029] Example 1: As Figures 1-4 shown, an intelligent temperature control bed for the elderly of the present invention includes a bed frame 1 and a mattress 2. The bed frame 1 is composed of a border groove 3, a headboard 4 and bed feet. The border 3, the headboard 4 and the bed feet are connected and fixed by screws, and the mattress 2 is placed in the border groove 3.

[0030] The mattress 2 is divided into a head region 12, a trunk region 13, a leg region 14 and a foot region 15, and each region in the mattress 2 is separated by a heat insulation layer 8.

[0031] Each area of the mattress 2 is internally provided with a heating device 6.

[0032] The heating device 6 is a graphene electrothermal device.

[0033] A breathable layer is also laid on the top surface of the mattress 2, and a plurality of pressure sensors 10 are arranged inside the breathable layer. The breathable layer on the top surface of the mattress 2 ensures air circulation and improves sleep comfort. The plurality of pressure sensors 10 arranged inside sense the changes in human pressure and provide data for judging whether someone is lying in bed and the position of the human body.

[0034] The bed frame 1 is provided with a master control device and an external power supply at the bottom of the bed tail. The master control device and the external power supply are arranged at the bottom of the bed tail. The master control device is connected to each component through a wireless signal to achieve centralized control; the external power supply stably supplies power to the entire intelligent temperature control bed. A camera 5 is arranged at the top of the headboard 4 facing the direction of the mattress 2. The camera 5 at the top of the headboard 4 facing the mattress 2 cooperates with the pressure sensor 10, and through a visual recognition module, obtains image information to assist in judging whether there is someone in bed, so that the temperature control system starts and stops intelligently.

[0035] Ventilation openings 11 are arranged inside the frame groove 3. The ventilation openings 11 are communicated with an air duct, and the air duct is communicated with a silent blower. The silent blower is arranged at the bottom of the bed frame 1. The ventilation openings 11 inside the frame groove 3 are connected to the air duct and the silent blower. When the temperature of the mattress 2 is too high, the silent blower starts and ventilates through the ventilation openings 11 to realize the cooling of the mattress 2, and the operation is quiet and does not interfere with the sleep of the elderly.

[0036] The heat insulation layer 8 is a latex layer, and mattress springs 7 are arranged inside the latex layer.

[0037] The master control device is connected to the pressure sensor 10, the heating device 6 and the camera 5 through wireless signals. The heat insulation layer 8 adopts a latex layer, which effectively isolates the temperature of each area and ensures the effect of zone temperature control. The mattress springs 7 inside the latex layer provide comfortable support and improve the sleep experience of the elderly.

[0038] Embodiment 2: As Figure 5 shown, a temperature control system of the present invention, the temperature control system includes a visual recognition module and a temperature control module.

[0039] The visual recognition module obtains the signal of the real-time pressure change through the pressure sensor 10. When the signal transmitted by the pressure sensor 10 changes, signal points of each area are formed. The signal points at the outermost edge of each area are connected into lines to form a fuzzy image of different areas. Then the fuzzy images of each area are combined into a fuzzy image. The camera 5 obtains a real-time photo, compares it with the fuzzy image, and judges whether someone is lying in bed. If so, the fuzzy image is transmitted to the temperature control module.

[0040] The temperature control module obtains the surface temperature of the mattress 2 through the temperature sensor 9, determines whether the temperature meets the human body's needs, and performs heating or cooling by a silent blower. The temperature control system in the master control device integrates the visual recognition module and the temperature control module.

[0041] The temperature control module pre-sets a temperature threshold for each area of the mattress 2. When the temperature is less than or greater than this temperature threshold, the temperature control module will interfere and regulate.

[0042] The described temperature control module also includes a temperature dynamic adjustment unit that dynamically adjusts the temperature threshold according to the real-time body temperature and the ambient temperature, including real-time body temperature data acquisition and a threshold dynamic adjustment algorithm;

[0043] Real-time body temperature data acquisition is carried out inside the breathable layer of the mattress. In addition to the existing pressure sensors, high-precision wearable body temperature sensors are additionally embedded (for example, using a flexible patch design, which fits the human skin, has no obvious foreign body sensation to the human body, and can stably collect body temperature data). These body temperature sensors are connected to the temperature control module in the master control device through Bluetooth or other low-power wireless communication technologies, and transmit the body temperature data of the elderly to the temperature control module in real time. At the same time, an ambient temperature sensor is installed near the bed frame (such as on the side of the headboard or at the bottom of the foot of the bed) to collect indoor ambient temperature data and transmit the data to the temperature control module.

[0044] The temperature control module with a threshold dynamic adjustment algorithm has a built-in dynamic threshold adjustment algorithm. After obtaining the real-time body temperature and environmental temperature data, the algorithm will perform the following processing: If the environmental temperature is low and the elderly person's body temperature is below the comfortable body temperature range during normal sleep, the temperature control module will appropriately increase the temperature thresholds of each area of the mattress. Conversely, if the environmental temperature is high and the elderly person's body temperature is on the high side, the temperature control module will lower the temperature thresholds of each area. For example, when the environmental temperature is 18°C and the elderly person's real-time body temperature is 36°C (the assumed comfortable body temperature range during normal sleep is 36.5 - 37.2°C), the temperature control module will increase the temperature threshold of the head area from the originally set 37°C to 37.5°C to ensure that the elderly person does not feel cold due to the low environmental temperature. The algorithm will also perform dynamic adjustment according to the change rates of the body temperature and environmental temperature. If the body temperature drops rapidly and the environmental temperature continues to decrease, the temperature control module will increase the speed of raising the temperature threshold to ensure that the elderly person is always in a comfortable temperature environment. Combining multi-sensor data to accurately judge the sleep state and body temperature requirements, data collection and preprocessing: The temperature sensor continuously collects the surface temperature data of the mattress, the pressure sensor continuously monitors the human pressure change data, and the camera periodically takes pictures of the bed scene. The temperature control module first preprocesses the collected data. For example, it performs filtering on the temperature data to remove noise interference; extracts features from the pressure sensor data and calculates feature values such as the frequency and amplitude of the pressure change; performs preprocessing operations such as grayscale conversion and noise reduction on the images taken by the camera. Implementation of the multi-sensor fusion algorithm: Adopt a multi-sensor fusion algorithm based on machine learning (such as a neural network algorithm). Using the preprocessed temperature data, pressure data, and image data as inputs, after the training and learning of the neural network model, the model can output the elderly person's sleep state (such as awake, light sleep, deep sleep, REM sleep) and the corresponding body temperature requirements. During the training stage, a large number of multi-sensor data samples of different elderly people in various sleep states are collected and the corresponding sleep states and body temperature requirements are marked for training the neural network model so that it can learn the mapping relationship between the data and the sleep state and body temperature requirements. During actual operation, the model quickly and accurately judges the elderly person's sleep state and body temperature requirements according to the real-time input multi-sensor data. If the model judges that the elderly person is in a light sleep state and has a high body temperature requirement (such as because turning over causes some body parts to be exposed and the body temperature drops slightly), the temperature control module will appropriately increase the heating power of the corresponding area to meet their body temperature requirements.

[0045] The dynamic adjustment unit generates a personalized temperature curve according to the sleep habits and body temperature change rules. The method for generating the personalized temperature curve according to the sleep habits and body temperature change rules includes the following steps:

[0046] A1. Data and data analysis of the sleep habits of the elderly: At the initial stage of the elderly using the intelligent temperature control bed, set a data collection period (for example, 1 - 2 weeks). During this period, the temperature control module continuously collects the sleep data of the elderly, including the bedtime, wake-up time, duration of each sleep stage, and temperature change data at different time periods every day. At the same time, through the operation interface on the supporting mobile APP or the master control device at the end of the bed, let the elderly manually input some personal sleep habit information, such as the preferred falling asleep temperature, whether they are prone to kicking the quilt at night, etc. Analyze the collected data to extract the sleep habits and temperature change rules of the elderly. For example, if it is found that a certain elderly person's body temperature drops rapidly in the first 2 hours after falling asleep and likes the mattress temperature to be slightly higher when falling asleep, then when generating the personalized temperature curve, set the first 2 hours after falling asleep as a higher temperature range, and gradually lower the mattress temperature over time. Temperature curve generation and adjustment: According to the analyzed sleep habits and temperature change rules, the temperature control module uses the curve fitting algorithm to generate a personalized temperature curve. This curve will be accurate to the target temperature of each area of the mattress for each time period (such as every 15 minutes as a time interval). During actual use, the temperature control module will dynamically adjust the temperature curve according to the real-time monitored sleep data and environmental changes. If the elderly person goes to bed later than usual one day, the temperature control module will correspondingly adjust the start time of the temperature curve and the temperature changes in each stage. If the environmental temperature suddenly drops, the temperature control module will appropriately increase the temperature of each area on the basis of the original temperature curve to ensure the sleep comfort of the elderly. A2. Adjust the temperature according to the sleep stage. Optimization of the sleep stage recognition algorithm: Based on the data of the pressure sensor and the camera, further optimize the sleep stage recognition algorithm. In terms of the pressure sensor, analyze the stability, frequency of pressure changes, and changes in pressure distribution. In the light sleep stage, the elderly may have more small movements, and the pressure changes are relatively frequent and with a small amplitude; while in the deep sleep stage, the pressure changes are more stable and with a small amplitude. In terms of the camera data, use image recognition technology to monitor the frequency of changes in the elderly's body posture, facial expression changes, etc. For example, in the REM sleep stage, the elderly's eyes will move rapidly, and the facial muscles may have slight twitches. These features can be captured through the analysis of the camera images.

[0047] A3. Integrate the data features of the pressure sensor and the camera, and adopt a more complex machine learning classification algorithm (such as the support vector machine algorithm) to improve the accuracy of sleep stage recognition. Temperature adjustment strategy: According to different sleep stages, formulate corresponding temperature adjustment strategies.

[0048] A31. In the light sleep stage, since the elderly are easily disturbed by the outside world, adjust the mattress temperature to slightly higher than the lower limit of the human comfort temperature (such as 37°C) to create a warm and comfortable feeling for the elderly and help them enter the deep sleep state as soon as possible;

[0049] A32. During the deep sleep stage, the body's metabolic rate decreases and the sensitivity to temperature drops. At this time, the mattress temperature can be slightly lowered (such as adjusted to 36.5 °C), saving energy without affecting sleep quality.

[0050] A33. During the REM sleep stage, the body's physiological activities are relatively active, and there may be slight sweating and other situations. Adjust the mattress temperature to slightly below the upper limit of the comfortable temperature (such as 37 °C) to maintain a dry and comfortable sleep environment. The temperature control module will automatically and quickly adjust the temperature of each area of the mattress according to the identified sleep stage, ensuring that the elderly can be in a suitable temperature environment throughout the sleep process.

[0051] The described temperature dynamic adjustment unit automatically compensates the mattress temperature according to the change of the indoor environmental temperature, including the following steps:

[0052] A4. Environmental temperature monitoring and data transmission: Use the environmental temperature sensor installed near the bed frame to monitor the indoor environmental temperature in real time and with high precision. The environmental temperature sensor transmits the collected temperature data to the temperature control module in the master control device at a certain time interval (such as every 2 minutes) through wireless communication.

[0053] A41 Temperature compensation algorithm. The temperature control module has a built-in temperature compensation algorithm. When the environmental temperature changes, the algorithm calculates the temperature values that need to be compensated for each area of the mattress according to the preset compensation rules. If the environmental temperature drops by 5 °C, according to the compensation rules, the temperature control module will increase the target temperature of each area of the mattress by 2 - 3 °C (the specific increase range can be optimized and set according to actual tests and user feedback). When calculating the compensation temperature value, the algorithm also takes into account the current sleep state and body temperature of the elderly. If the elderly are in a deep sleep state and their body temperature is stable, the compensated temperature value can be relatively conservative; if the elderly are in a light sleep state or their body temperature shows a downward trend, the compensated temperature value is appropriately increased.

[0054] A42. The temperature control module automatically adjusts the power of the heating device or controls the operating state of the silent fan according to the calculated compensation temperature value to achieve automatic compensation of the temperature of each area of the mattress, ensuring that the elderly are always within a comfortable temperature range and are not affected by the change of the indoor environmental temperature.

[0055] In the present invention, when the absolute value of the surface temperature of different areas of the mattress 2 being greater than or less than the temperature threshold is less than 1, the temperature control module stops interfering with the temperature regulation. When the absolute value of the surface temperature of different areas of the mattress 2 being greater than or less than the temperature threshold is greater than 1, the temperature control module will interfere with the regulation.

[0056] The above are only the preferred embodiments of the present invention, and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments with equivalent changes within the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. An intelligent temperature-controlled bed for the elderly, characterized by: The invention comprises a bed frame (1) and a mattress (2), wherein the bed frame (1) is composed of a frame groove (3), a headboard (4) and bed legs, wherein the frame groove (3), the headboard (4) and the bed legs are fixed by screw connection, and the mattress (2) is placed in the frame groove (3); The mattress (2) is divided into a head area (12), a trunk area (13), a leg area (14) and a foot area (15), and each area in the mattress (2) is separated by a thermal insulation layer (8); Each area of ​​the mattress (2) is equipped with a built-in heating device (6).

2. The intelligent temperature-controlled bed for the elderly according to claim 1, characterized in that: The heating device (6) is a graphene electric heating device.

3. The intelligent temperature-controlled bed for the elderly according to claim 1, characterized in that: The top surface of the mattress (2) is also provided with a breathable layer, and the breathable layer has a plurality of pressure sensors (10) built into it.

4. The intelligent temperature-controlled bed for the elderly according to claim 1, characterized in that: The bed frame (1) is provided with a master control device and an external power supply at the bottom of the bed foot.

5. The intelligent temperature-controlled bed for the elderly according to claim 1, characterized in that: A camera (5) is arranged on the top of the headboard (4) facing the direction of the mattress (2).

6. The intelligent temperature-controlled bed for the elderly according to claim 1, characterized in that: A vent (11) is arranged inside the frame groove (3), the vent (11) is connected to an air duct, the air duct is connected to a silent fan, and the silent fan is arranged at the bottom of the bed frame (1).

7. The intelligent temperature-controlled bed for the elderly according to claim 1, characterized in that: The thermal insulation layer (8) is a latex layer, and a mattress spring (7) is arranged in the latex layer.

8. The intelligent temperature-controlled bed for the elderly according to claim 4, characterized in that: The master control device is connected to the pressure sensor (10), the heating device (6) and the camera (5) via wireless signals.

9. A temperature control system, characterized in that: It includes a visual recognition module and a temperature control module. The visual recognition module obtains real-time pressure change signals through a pressure sensor. The signal changes transmitted by the pressure sensor constitute the signal points of each area. The signal points at the edge of each area are connected into lines to form blurred images of different areas. The blurred images of each area are then combined into a blurred image. The camera obtains real-time photos and compares them with the blurred images to determine whether there is someone lying on the bed. If so, the blurred image is transmitted to the temperature control module.

10. The temperature control module according to claim 9 obtains the surface temperature of the mattress through a temperature sensor, determines whether the temperature meets the needs of the human body, and performs heating or cooling by a silent fan. The temperature control system in the master control device integrates the visual recognition module and the temperature control module. The temperature control module pre-sets a temperature threshold in each area of ​​the mattress. When the temperature is less than or greater than the temperature threshold, the temperature control module will intervene in the regulation.

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