Temperature and humidity control method, controller, system and storage medium

Abstract

The embodiment of the invention provides a temperature and humidity control method, a controller, a system and a storage medium, and the method comprises the steps: automatically obtaining the temperature and humidity distribution information of a patient on a sickbed, determining a temperature and humidity comfort range through the hospitalization information and preference information, the hospitalization environment information comprises department type information and department environment information, the preference information represents adjustment preference information obtained through historical temperature and humidity adjustment information, and the corresponding temperature and humidity adjustment information is determined after the temperature and humidity distribution information is compared with the temperature and humidity comfort range. And the temperature and humidity module of the abnormal temperature and humidity area is adjusted through the temperature and humidity adjustment information, so that the temperature and humidity of the abnormal temperature and humidity area are in a temperature and humidity comfortable range. The risk of bedsore of the patient caused by abnormal temperature and humidity is avoided, and the patient can better recuperate.

Description

Technical Field

[0001] The present invention relates to, but is not limited to, the field of control technology, and particularly relates to a temperature and humidity control method, a controller, a system, and a storage medium. Background Art

[0002] In hospitals, nursing homes, and many households, there are many patients or the elderly who lie down for a long time due to various reasons. There is always a part of the body that is oppressed for a long time and gets pressure sores. In the prior art, a common method to avoid the occurrence of pressure sores is to use an air mattress for preventing pressure sores. Its surface is strip-shaped and fluctuating, and it uses the characteristic that the air mattress is easy to transfer the body's stress point to play a role in preventing pressure sores.

[0003] However, the air mattress has a high price and is difficult to maintain. If the air mattress is punctured by a sharp object, it will lose its function. And since the air mattress is mostly made of airtight and air-impermeable materials, it will cause heat accumulation, resulting in an increase in the environmental temperature and humidity, making pressure sores more likely to occur. Summary of the Invention

[0004] The following is an overview of the subject matter described in detail in this article. This overview is not intended to limit the scope of protection of the claims.

[0005] The main purpose of the embodiments of the present invention is to provide a temperature and humidity control method, a controller, a system, and a storage medium, which can intelligently regulate the temperature and humidity on the hospital bed, prevent the occurrence of pressure sores, and enable patients to recuperate better.

[0006] In a first aspect, the embodiments of the present invention provide a temperature and humidity control method, including: Obtaining temperature and humidity distribution information, where the temperature and humidity distribution information represents the temperature and humidity distribution of a patient at various positions on the hospital bed; Obtaining the hospitalization information and preference information of the patient, specifically including: obtaining the hospitalization information through a database module, obtaining the historical temperature and humidity adjustment values and the adjustment satisfaction degrees corresponding to the historical temperature and humidity adjustment values through the database module, and determining the preference information according to the historical temperature and humidity adjustment values and the adjustment satisfaction degrees. The preference information includes temperature and humidity adjustment rate preference information and temperature and humidity value preference information; Determining a temperature and humidity comfort range according to the hospitalization information and the preference information, where the temperature and humidity comfort range represents the expected temperature and humidity range of the patient at various positions on the hospital bed; Comparing the temperature and humidity distribution information with the temperature and humidity comfort range to obtain a first comparison result; When the first comparison result indicates that there is an abnormal temperature and humidity area on the hospital bed for the patient, generating temperature and humidity adjustment information, where the abnormal temperature and humidity area represents an area where the temperature and humidity are not within the temperature and humidity comfort range; Adjust the temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information, so that the temperature and humidity in the abnormal temperature and humidity area are within the comfortable temperature and humidity range.

[0007] In some alternative embodiments, the obtaining of the hospitalization information and preference information of the patient includes: Obtain the hospitalization information through the database module; Obtain the historical temperature and humidity adjustment values and the adjustment satisfaction degrees corresponding to the historical temperature and humidity adjustment values through the database module; Determine the preference information according to the historical temperature and humidity adjustment values and the adjustment satisfaction degrees, where the preference information includes temperature and humidity adjustment rate preference information and temperature and humidity value preference information.

[0008] In some alternative embodiments, before obtaining the temperature and humidity distribution information, it further includes: Obtain the patient pressure distribution information, where the patient pressure distribution information represents the pressure distribution information of the patient at various places on the hospital bed; Compare the patient pressure distribution information with a preset pressure distribution model to obtain a patient pressure distribution model, where the patient pressure distribution model represents the pressure distribution model in the preset pressure distribution model with the highest similarity to the patient pressure distribution area; Determine the body part distribution information according to the patient pressure distribution model, where the body part distribution information represents the body part information corresponding to each area of the patient on the hospital bed.

[0009] In some alternative embodiments, the obtaining of the temperature and humidity distribution information includes: Determine the temperature and humidity detection module corresponding to the hospital bed according to the body part distribution information; After detecting the temperature and humidity information corresponding to each body part through the temperature and humidity detection module, obtain the temperature and humidity distribution information.

[0010] In some alternative embodiments, the hospitalization information includes pathological information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathological information represents the medical information of the patient and / or the physiological information obtained through the physiological monitoring module, and the determining of the comfortable temperature and humidity range according to the hospitalization information and preference information includes: Determine a first preset temperature and humidity range according to the department type information; Modify the first preset temperature and humidity range according to the department environment information to obtain a second preset temperature and humidity range; Modify the second preset temperature and humidity range according to the pathological information to obtain a third preset temperature and humidity range; The temperature and humidity comfort range is obtained by correcting the third preset temperature and humidity range according to the preference information.

[0011] In some alternative embodiments, an interaction module is provided on the hospital bed. The interaction module includes a graphical interface and operation buttons. The method further includes: Obtaining the patient's demand information through the graphical interface and / or the operation buttons. The demand information includes a request for assistance in adjusting the sleeping posture, a request for adding or removing bedding, and a request for temperature and humidity adjustment; Sending the demand information to the monitoring terminal so that medical staff can arrive at the hospital bed for adjusting the sleeping posture, adding or removing bedding, and / or adjusting the temperature and humidity, or sending a confirmation signal to the corresponding hospital bed controller through the monitoring terminal, and the hospital bed controller starts adjusting the sleeping posture, adding or removing bedding, and / or adjusting the temperature and humidity according to the confirmation signal.

[0012] In some alternative embodiments, the temperature and humidity module is provided on the hospital bed. The temperature and humidity module includes a plurality of temperature adjustment units, a plurality of humidity adjustment units, and a plurality of support units. The temperature adjustment units and the humidity adjustment units are provided on the support units. Adjusting the temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information includes: Determining the temperature adjustment information of one or more of the temperature adjustment units and the humidity adjustment information of one or more of the humidity adjustment units on the hospital bed according to the temperature and humidity adjustment information; Determining the temperature adjustment curve of the temperature adjustment unit according to the temperature adjustment information. The temperature adjustment curve represents the adjustment rate of the temperature adjustment unit at different temperatures; Determining the humidity adjustment curve of the humidity adjustment unit according to the humidity adjustment information. The humidity adjustment curve represents the adjustment rate of the humidity adjustment unit at different humidities; Adjusting the temperature adjustment unit according to the temperature adjustment curve and adjusting the humidity adjustment unit according to the humidity adjustment curve so that the temperature and humidity in the abnormal temperature and humidity area are within the temperature and humidity comfort range.

[0013] In a second aspect, an embodiment of the present invention provides a controller, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the temperature and humidity control method described in the first aspect is implemented.

[0014] In a third aspect, an embodiment of the present invention provides a temperature and humidity control system, including the controller described in the second aspect above.

[0015] Fourth aspect: A computer storage medium stores computer-executable instructions for executing the temperature and humidity control method described in the first aspect.

[0016] The beneficial effects of the present invention include: When the present invention obtains an instruction to regulate the temperature and humidity, it acquires temperature and humidity distribution information, which represents the temperature and humidity distribution of the patient at various positions on the hospital bed; it acquires the hospitalization information and preference information of the patient, where the hospitalization information includes pathological information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathological information represents the medical information of the patient and / or the physiological information obtained through the physiological monitoring module, and the preference information represents the adjustment preference information obtained from the historical temperature and humidity adjustment information; it determines the temperature and humidity comfort range according to the hospitalization information and preference information, which represents the expected temperature and humidity range of the patient at various positions on the hospital bed; it compares the temperature and humidity distribution information with the temperature and humidity comfort range to obtain a first comparison result; when the first comparison result indicates that there is an abnormal temperature and humidity area on the hospital bed of the patient, it generates temperature and humidity adjustment information, where the abnormal temperature and humidity area represents the area where the temperature and humidity are not within the temperature and humidity comfort range; it adjusts the temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information, so that the temperature and humidity in the abnormal temperature and humidity area are within the temperature and humidity comfort range. By automatically acquiring the temperature and humidity distribution information of the patient on the hospital bed, determining the temperature and humidity comfort range according to the hospitalization information and preference information, comparing the temperature and humidity distribution information with the temperature and humidity comfort range to determine the corresponding temperature and humidity adjustment information, and adjusting the temperature and humidity module of the abnormal temperature and humidity area through the temperature and humidity adjustment information, the temperature and humidity in the abnormal temperature and humidity area are made to be within the temperature and humidity comfort range, thus avoiding the risk of the patient developing bedsores due to abnormal temperature and humidity, and enabling the patient to recuperate better. Therefore, the present application can intelligently regulate the temperature and humidity on the hospital bed, prevent the occurrence of bedsores, and enable the patient to recuperate better.

[0017] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained through the structures specifically pointed out in the specification, claims, and drawings. Description of the Drawings

[0018] Figure 1 is a step flow block diagram of a temperature and humidity control method provided by an embodiment of the present invention; Figure 2 is a structural schematic diagram of a temperature and humidity adjustment module provided by an embodiment of the present invention; Figure 3 is a structural block diagram of an analysis model provided by an embodiment of the present invention; Figure 4 It is a schematic diagram of a controller provided by an embodiment of the present invention.

[0019] Reference numerals: Controller 1000, Processor 1100, Memory 1200; Bed board 100, breathable mattress 110, support plate 120, through hole 121, air supply device 130, fan 131, humidifying device 140, medicine adding device 150. Detailed implementation manners

[0020] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] It should be noted that although functional module division is performed in the device schematic diagram and the logical sequence is shown in the flowchart, in some cases, the steps shown or described may be executed in a different module division in the device or a different sequence in the flowchart. Terms such as "first", "second", etc. in the description, claims or the above-mentioned drawings are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence.

[0022] In hospitals, nursing homes and many families, there are many patients or the elderly who lie in bed for a long time due to various reasons, and some parts of their bodies are always oppressed for a long time, resulting in bedsore. In the prior art, a common method to avoid bedsore is to use an anti-bedsore inflatable mattress, the surface of which is strip-shaped and fluctuating, and the air cushion bed is used to transfer the body's stress points to prevent bedsore.

[0023] However, the inflatable mattress has a high price and is difficult to maintain. If the inflatable mattress is punctured by a sharp object, it will lose its function. In addition, since the inflatable mattress is mostly made of airtight and non-breathable materials, it will cause heat accumulation, resulting in an increase in the environmental temperature and humidity, making bedsore more likely to occur.

[0024] To solve the above problems, the present application provides a temperature and humidity control method, a controller, a system and a storage medium.

[0025] In the present application, a temperature and humidity control method, a controller, a system and a storage medium are provided, and will be described in detail one by one in the following embodiments.

[0026] As Figure 1 shown, an embodiment of the present invention provides a temperature and humidity control method, including: S100. Obtain temperature and humidity distribution information, where the temperature and humidity distribution information characterizes the temperature and humidity distribution of a patient at various positions on the hospital bed.

[0027] It should be noted that the temperature and humidity in this application are collected by a temperature and humidity acquisition module installed on the hospital bed. Specifically, the temperature and humidity acquisition module includes: multiple distributed temperature and humidity sensors (flexible temperature and humidity sensors can be selected. Such sensors can be bent and folded, and can better fit the surface of the hospital bed, such as coated or printed flexible sensors, which can be integrated into items such as mattresses and bed sheets without affecting the normal use of patients), embedded in the surface layer of the mattress, the interior of the bedspread, and the preset positions at the head, tail, and sides of the hospital bed in an array form. The specific installation positions of the temperature and humidity sensors are not limited here and can be set according to actual needs. The distance between adjacent sensors does not exceed 15 cm to ensure full coverage of the areas that patients may contact. The sensors have high-precision measurement capabilities, with a temperature measurement accuracy of up to ±0.3°C and a humidity measurement accuracy of up to ±2%RH (Relative Humidity), and can collect temperature and humidity data in real time at a frequency of at least 3 times per minute. For example, multiple sensors are evenly distributed on the surface of the mattress to fully cover the contact area between the patient's body and the mattress; multiple sensors can be arranged on the mattress in a nine-square grid pattern, corresponding to the patient's head, shoulders, back, waist, hips, legs and other parts respectively, to ensure that the temperature and humidity information under different parts of the body can be obtained.

[0028] Temperature and humidity sensors are also installed at the head, tail, and sides of the hospital bed to monitor the temperature and humidity conditions of the environment around the hospital bed. The temperature and humidity sensors at the head of the bed can reflect the air temperature and humidity near the patient's head, while the temperature and humidity sensors at the tail and sides of the bed help to understand the overall environmental conditions of the hospital bed.

[0029] In addition to arranging temperature and humidity sensors on the surface of the mattress, temperature and humidity sensors can also be set at different levels inside the mattress to obtain the temperature and humidity distribution inside the mattress. For example, temperature and humidity sensors are installed in the sponge layer, spring layer, etc. of the mattress to understand the temperature and humidity changes inside the mattress, so as to judge the breathability and moisture-proof performance of the mattress.

[0030] Using the data of multiple temperature and humidity sensors collected, a mathematical model of the temperature and humidity distribution on the hospital bed is established. Interpolation algorithms (such as linear interpolation, Kriging interpolation, etc.) can be used to estimate the temperature and humidity in areas where sensors are not installed, so as to obtain the temperature and humidity distribution of the entire hospital bed.

[0031] Through visualization techniques (such as heat maps, three-dimensional surface maps, etc.), the temperature and humidity distribution information is intuitively displayed, which is convenient for medical staff and relevant personnel to observe and analyze. For example, use the Matplotlib library of Python to draw a temperature and humidity heat map, where different colors represent different temperature and humidity values, making the temperature and humidity distribution clear at a glance.

[0032] In some alternative embodiments, multiple adjacent temperature and humidity sensors on the hospital bed perform mutual verification. In the case of abnormal data of any temperature and humidity sensor, the backup temperature and humidity sensor is automatically switched, or a temperature and humidity distribution model is established through the temperature and humidity data of adjacent temperature and humidity sensors, and the temperature and humidity data of the area corresponding to the temperature and humidity sensor with abnormal data are calculated through an interpolation algorithm (using a linear interpolation or polynomial interpolation algorithm).

[0033] Specifically, according to the size and shape of the hospital bed, sensors are arranged near key positions of the hospital bed, such as the head, shoulders, back, hips, legs, etc., so as to comprehensively and accurately reflect the temperature and humidity distribution on the hospital bed. It is necessary to ensure that the distance between adjacent sensors (sensors all refer to temperature and humidity sensors, the same below) is appropriate, which can not only cover the entire hospital bed area, but also make the data of adjacent sensors have a certain correlation, facilitating mutual verification.

[0034] Calculate the difference between the temperature and humidity values measured by two adjacent sensors. For example, sensor A measures the temperature as and the humidity as , adjacent sensor B measures the temperature as and the humidity as , then the temperature difference , and the humidity difference .

[0035] Ratio comparison method: In addition to difference comparison, the ratio of adjacent sensor data can also be calculated. Such as the temperature ratio (assuming ), and the humidity ratio (assuming ).

[0036] Based on a large amount of experimental data and practical application experience, reasonable thresholds are set for the difference and ratio respectively, and the specific thresholds are not limited here. For example, the temperature difference threshold can be set to °C, the humidity difference threshold is set to 3%RH; the temperature ratio threshold is set to 1.05, and the humidity ratio threshold is set to 1.08. When the difference or ratio of adjacent sensors exceeds the corresponding threshold, it is determined that the data of the sensor may be abnormal.

[0037] Backup temperature and humidity sensors are pre-set at appropriate positions on the hospital bed, and the performance and accuracy of the backup temperature and humidity sensors are equivalent to those of the main sensors. When the data of a certain main sensor is determined to be abnormal, the system automatically switches the data acquisition source to the corresponding backup sensor.

[0038] Switching process: Once abnormal sensor data is detected, the system will immediately issue a switching instruction. First, stop collecting data from the abnormal sensor, then enable the data collection function of the backup sensor, and use the data collected by the backup sensor as the effective temperature and humidity data at this location for subsequent processing and analysis.

[0039] In the case of no backup sensor, inability to switch to the backup sensor, or problems with the backup sensor as well, a temperature and humidity distribution model is established using the data of adjacent normally operating temperature and humidity sensors. Such as linear models, polynomial models, etc. Taking the linear model as an example, assume that the positions of three adjacent sensors , , are , , respectively, and the corresponding temperature values are , , respectively. A straight line can be fitted through these three points, where and are coefficients to be determined and can be solved by methods such as the least squares method.

[0040] Interpolation calculation: After establishing the temperature and humidity distribution model, the temperature and humidity data of the area corresponding to the temperature and humidity sensor with abnormal data is calculated through the interpolation algorithm. For the linear model, if the position of the abnormal sensor is , then can be substituted into the straight line equation to calculate the temperature value at this position. The calculation method for humidity is the same.

[0041] When abnormal sensor data is detected and corresponding processing is carried out, the system should promptly send out an alarm message to notify medical staff or relevant technical personnel. The alarm method can be audible and visual alarms, SMS alarms, or pop-up prompts on the monitoring terminal, etc., which are not specifically limited.

[0042] Data recording and analysis: The database of the hospital system records the relevant data of abnormal sensor data, including the time of abnormality occurrence, the number of the abnormal sensor, the abnormal data value, the processing measures, etc. And the data is analyzed through the corresponding data analysis model, which can summarize the rules of fault occurrence and provide reference data for subsequent maintenance and improvement.

[0043] S200. Obtain the hospitalization information and preference information of the patient, specifically including: obtain the hospitalization information through the database module, obtain the historical temperature and humidity adjustment values and the adjustment satisfaction corresponding to the historical temperature and humidity adjustment values through the database module, and determine the preference information according to the historical temperature and humidity adjustment values and the adjustment satisfaction. The preference information includes temperature and humidity adjustment rate preference information and temperature and humidity value preference information.

[0044] Specifically, obtain the hospitalization information of the patient in real time through the Hospital Information System (HIS). The pathological information covers the details of the patient's past medical history, current diagnosis results, medication plans, and laboratory test report data in the medical record file. At the same time, through wired or wireless docking with the physiological monitoring module beside the hospital bed, continuously collect the patient's real-time physiological information, such as heart rate, blood pressure, blood oxygen saturation, respiratory rate, etc., and integrate it to form complete pathological information.

[0045] Extract the department type information from HIS, identify the department to which the ward belongs, such as pediatrics, cardiology, oncology, etc., and the department environment information, including ward area, lighting orientation, ventilation facility layout, surrounding equipment heat source distribution, etc., which is obtained through on-site survey and environmental sensor assistance.

[0046] Deeply mine the historical temperature and humidity adjustment information stored in the database during the patient's past hospitalization through the preference analysis model, and use data clustering and association rule algorithms to extract personalized adjustment preference information, such as the temperature gradient preferred in a specific time period, the humidity increase and decrease trend, the preferred temperature and humidity values of different body parts, etc.

[0047] Specifically, the control system of the hospital bed is connected to the cloud database or server (i.e., the database module) to obtain the stored hospitalization information. Similarly, the historical temperature and humidity adjustment information of the patient is stored in the remote database or server. The specific historical temperature and humidity adjustment information includes the historical temperature and humidity adjustment values and the corresponding adjustment satisfaction. For example, the temperature and humidity adjustment information corresponding to the patient's knee last time was a temperature of 22°C and a humidity of 53%RH, and the temperature and humidity adjustment curve can be fitted as , and the adjustment satisfaction is 80% (100% for completely satisfied). When adjusting the temperature and humidity, record the relevant data of each temperature and humidity adjustment. These data are stored in the "Temperature and Humidity Adjustment Record Table" in the database. This table records the specific information of each adjustment, including adjustment time, temperature value before adjustment, humidity value before adjustment, temperature value after adjustment, humidity value after adjustment, temperature and humidity corresponding adjustment curve, and the corresponding patient number. This can track the changes in the temperature and humidity of the environment where each patient is located in detail.

[0048] Perform clustering analysis on the temperature and humidity values after historical adjustment, such as the K-Means algorithm. Through this algorithm, similar temperature and humidity values are grouped into the same cluster. Suppose the temperature and humidity value data are clustered into 3 clusters. By calculating the two-dimensional data points composed of the temperature values and humidity values after historical adjustment, the algorithm will automatically divide the data points into different clusters according to the distribution characteristics of the data. For example, one cluster contains data points with a temperature range of 22 - 24 °C and a humidity range of 40% - 50%, and another cluster contains data points with a temperature range of 24 - 26 °C and a humidity range of 50% - 60%, etc.

[0049] Determine the preference value range: Calculate the average adjustment satisfaction score within each cluster. By comparing the average satisfaction of different clusters, find the cluster with the highest satisfaction. The temperature and humidity value range covered by this cluster is the temperature and humidity value preference information of the patient. For example, if the cluster with a temperature range of 22 - 24 °C and a humidity range of 40% - 50% has the highest average satisfaction, then this temperature and humidity range is the temperature and humidity value interval that the patient prefers. When adjusting the temperature and humidity subsequently, try to maintain the environmental temperature and humidity within this range to improve the patient's comfort. Similarly, the temperature and humidity adjustment rate is also calculated by clustering through the K-Means algorithm to obtain the temperature and humidity rate adjustment curve with the highest satisfaction, and then the temperature and humidity are adjusted according to the temperature and humidity rate adjustment curve.

[0050] In some alternative embodiments, before obtaining the temperature and humidity distribution information, it further includes: obtaining the patient pressure distribution information, where the patient pressure distribution information represents the pressure distribution information of the patient at various positions on the hospital bed; comparing the similarity between the patient pressure distribution information and a preset pressure distribution model to obtain a patient pressure distribution model, where the patient pressure distribution model represents the pressure distribution model in the preset pressure distribution model with the highest similarity to the patient pressure distribution area; determining the body part distribution information according to the patient pressure distribution model, where the body part distribution information represents the body part information corresponding to each area of the patient on the hospital bed.

[0051] Specifically, a large number of pressure sensors are evenly embedded in the hospital bed mattress. These sensors can be of types such as piezoresistive, piezoelectric, or capacitive. For example, piezoresistive pressure sensors are used. When the patient lies on the mattress, each part of the body exerts pressure on the mattress, and the resistance value of the sensor will change. By measuring the change in the resistance value, the pressure information at the corresponding position can be obtained. The pressure sensors are usually distributed in an array form. For example, on a standard-sized hospital bed mattress, the sensors are arranged at intervals of 5 cm × 5 cm, or by setting up a pressure sensor mat, so that the pressure distribution of the patient at various positions on the hospital bed can be comprehensively and meticulously captured.

[0052] To reflect the dynamic changes in the patient's pressure distribution in real time, the data acquisition frequency is generally set at 1 - 10 times per second, and the specific frequency can be adjusted according to actual needs and system performance. For example, for patients who may change their body positions frequently, the acquisition frequency can be appropriately increased.

[0053] Compare the patient's pressure distribution information with a preset pressure distribution model to obtain the patient's pressure distribution model and the preset pressure distribution model: Establishment method: By collecting pressure distribution data from a large number of patients with different body shapes, ages, and conditions, and combining ergonomic principles, multiple preset pressure distribution models are constructed. For example, models are established separately for different groups such as adults, children, obese patients, and emaciated patients; corresponding models can also be established according to common hospital bed positions (supine position, lateral position, etc.).

[0054] Model characteristics: Each preset pressure distribution model contains the pressure value ranges and distribution rules of different regions. For example, in the supine position model, the corresponding mattress regions of parts such as the head, shoulders, back, buttocks, and legs will have corresponding pressure characteristic values, which are obtained through statistical analysis of a large number of sample data.

[0055] Similarity comparison method: Feature extraction: Extract key features from the patient's pressure distribution information, such as the position of the pressure peak, the average pressure values of different regions, the gradient of the pressure distribution, etc. For example, calculate the pressure difference between the central region and the edge region of the mattress as a feature index.

[0056] Similarity algorithm: Adopt a suitable similarity algorithm, such as the Euclidean distance algorithm, cosine similarity algorithm, etc., to compare the features of the patient's pressure distribution information with the features of the preset pressure distribution model. Taking the Euclidean distance algorithm as an example, calculate the Euclidean distance between the patient's pressure distribution feature vector and the feature vector of each preset pressure distribution model. The smaller the distance, the higher the similarity.

[0057] Determine the patient's pressure distribution model: Through similarity comparison, select the preset pressure distribution model with the highest similarity to the patient's pressure distribution information as the patient's pressure distribution model. For example, after calculation, it is found that the Euclidean distance between a certain patient's pressure distribution information and the "preset pressure distribution model for adult male supine position" is the smallest, then this model is determined as the pressure distribution model of this patient.

[0058] Determine the body part distribution information according to the patient's pressure distribution model: Model mapping: Each preset pressure distribution model has a pre - established mapping relationship with the body part information. For example, in the "preset pressure distribution model for adult male supine position", the upper left corner area of the mattress corresponds to the outer side of the shoulder, the upper right corner area corresponds to the outer side of the other shoulder, and the middle - lower area corresponds to the buttocks, etc.

[0059] Determine the body part distribution information: Based on the determined patient pressure distribution model, according to its mapping relationship with the body parts, the body part information corresponding to each area of the hospital bed for the patient can be determined. For example, according to the above-determined "preset pressure distribution model for an adult male in the supine position", when the pressure information of the patient in a certain area of the mattress is obtained, it is possible to know which part of the body the area corresponds to, so as to comprehensively understand the distribution of each part of the patient's body on the hospital bed. This provides corresponding data support for subsequent nursing work such as targeted temperature and humidity adjustment and prevention of pressure ulcers according to the needs of different body parts.

[0060] In some alternative embodiments, the obtaining of the temperature and humidity distribution information includes: determining the temperature and humidity detection modules corresponding to the hospital bed according to the body part distribution information; obtaining the temperature and humidity distribution information after detecting the temperature and humidity information corresponding to each body part through the temperature and humidity detection modules.

[0061] Specifically, on the hospital bed, the temperature and humidity detection module includes a number of temperature and humidity detection units. The multiple temperature and humidity detection units are not randomly distributed, but are targeted for layout according to the differences in the perception and requirements of temperature and humidity for different body parts. For example, considering that different parts of the human body have different sensitivities to temperature and humidity, and different diseases may lead to special requirements for temperature and humidity in specific body parts, the positions of each temperature and humidity detection unit in the temperature and humidity detection module are planned at the design stage of the hospital bed. Generally, temperature and humidity detection units with a higher density are set on the surface or near the surface of the mattress corresponding to the main body parts such as the head, neck, shoulders, back, waist, hips, and legs, while temperature and humidity detection units with a lower density are set on other surfaces of the mattress.

[0062] Determine the specific positions of the patient's body parts on the hospital bed through the body part distribution information, and establish a clear corresponding relationship between each body part and each temperature and humidity detection unit.

[0063] Due to the body shape differences of different patients and the body position changes on the hospital bed, this corresponding relationship is not absolutely fixed, but has a certain degree of flexibility and adaptability. The corresponding relationship between the body parts and the temperature and humidity detection module can be dynamically adjusted according to the real-time changes in the patient's pressure distribution. For example, when the patient changes from the supine position to the lateral position, the system can re-identify the distribution of the body parts and accordingly adjust the corresponding relationship between the body parts and each temperature and humidity detection unit to ensure that the temperature and humidity of each body part can always be accurately detected.

[0064] The temperature and humidity detection module usually adopts an integrated temperature and humidity sensor, such as a digital temperature and humidity sensor, which can quickly and accurately measure the temperature and humidity of the surrounding environment. These sensors work based on specific physical principles. For example, the humidity is measured by detecting the influence of water vapor in the environment on the capacitance, and the temperature is measured by the characteristic of the thermistor changing with temperature.

[0065] Real-time data acquisition: Once the temperature and humidity detection modules corresponding to each body part (i.e., one or more temperature and humidity detection units corresponding to each body part) are determined, the temperature and humidity detection units start to acquire data in real time. The acquisition frequency can be set according to actual needs, generally about 1 - 10 times per second, to ensure that the dynamic changes of temperature and humidity can be captured in time. For example, for patients with more sensitive conditions, the acquisition frequency can be increased to detect the slightest changes in temperature and humidity in a timely manner.

[0066] Data integration and processing: The data collected by each temperature and humidity detection module is transmitted to the central processing unit (the processing unit of the hospital bed control module). The central processing unit first performs preliminary filtering on the data to remove noise and outliers, so as to improve the accuracy and reliability of the data. Then, the processed data is integrated according to the body parts to form a complete temperature and humidity distribution information. For example, the temperature and humidity data corresponding to the head, the temperature and humidity data corresponding to the shoulders, etc. are integrated together, and finally a data set reflecting the temperature and humidity distribution of each body part of the patient on the hospital bed is obtained. This data set can be presented in various forms, such as listing the temperature and humidity values of each body part in tabular form, or displaying the temperature and humidity distribution graphically through a visualization interface, enabling medical staff to intuitively understand the temperature and humidity conditions of the patient.

[0067] S300. Determine the temperature and humidity comfort range according to the hospitalization information and preference information, and the temperature and humidity comfort range represents the expected temperature and humidity range of the patient at various positions on the hospital bed.

[0068] Specifically, refer to Figure 3 , and use an analysis model based on a neural network to determine the temperature and humidity comfort range. The input layer of the analysis model receives the obtained hospitalization information and preference information. The middle hidden layer is trained with a large number of sample data containing different combinations of disease conditions, departments, and individual preferences, and has strong feature extraction and pattern recognition capabilities. The output layer accurately determines the temperature and humidity comfort range for each position of the patient on the hospital bed, and the range accuracy is refined at intervals of 0.5°C and 3%RH. The specific interval is not limited. For example, the suitable temperature range for the head area is 21.5 - 23°C, and the humidity range is 42% - 48%; the temperature range for the trunk area is 22.5 - 24°C, and the humidity range is 46% - 52%, etc.

[0069] The analysis model first extracts key factors and data related to temperature and humidity from hospitalization information and preference information respectively, and then conducts comprehensive analysis. Integrate the temperature and humidity requirements indicated by hospitalization information such as the patient's condition, treatment stage, age and physical condition, with the patient's temperature and humidity value preferences and adjustment rate preferences to initially determine a comfortable temperature and humidity range.

[0070] Dynamic adjustment and optimization: The comfortable temperature and humidity range needs to be dynamically adjusted according to the patient's actual feedback and changes in the condition. During the patient's recuperation period, continuously observe the patient's physical reactions and comfort feedback, such as whether there are discomfort symptoms such as sweating, shivering, and dry skin, and send the feedback information to the analysis model in a timely manner, so as to fine-tune the comfortable temperature and humidity range through the analysis model. At the same time, as the patient's condition improves or changes, it is also necessary to adjust the comfortable temperature and humidity range through the analysis model accordingly to always meet the patient's needs.

[0071] In some alternative embodiments, the hospitalization information includes pathological information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathological information represents the patient's medical information and / or physiological information obtained through a physiological monitoring module, and determining the comfortable temperature and humidity range according to the hospitalization information and preference information includes: determining a first preset temperature and humidity range according to the department type information; obtaining a second preset temperature and humidity range after correcting the first preset temperature and humidity range according to the department environment information; obtaining a third preset temperature and humidity range after correcting the second preset temperature and humidity range according to the pathological information; and obtaining the comfortable temperature and humidity range after correcting the third preset temperature and humidity range according to the preference information.

[0072] Specifically, patients in different departments have different characteristics and needs, which makes each department have specific requirements for temperature and humidity. The first processing unit in the intermediate hidden layer of the analysis model sets corresponding first preset temperature and humidity ranges according to different departments. For example: Intensive Care Unit (ICU): Since the patient's condition is critical, the body is relatively weak and the resistance is poor. To reduce the risk of infection and maintain the stability of the patient's body functions, the first preset temperature and humidity range is usually set to a temperature of 22 - 24°C and a humidity of 40% - 60%. This temperature range helps the patient's body to balance heat dissipation and warmth retention, and the appropriate humidity can prevent the respiratory mucosa from drying out and reduce the probability of infection.

[0073] Pediatric ward: The child's body temperature regulation system is not yet fully developed and requires a relatively warm and humid environment. Therefore, the first preset temperature and humidity range can be set to: temperature 23 - 25°C, humidity 50% - 60%. The higher temperature can help children maintain their body temperature, and the appropriate humidity can prevent the skin and respiratory tract from being too dry.

[0074] Operating room: To ensure the smooth progress of the operation and the safety of the patient, the temperature and humidity need to be precisely controlled. The first preset range of temperature and humidity is generally 22 - 25°C for temperature and 40% - 60% for humidity. The appropriate temperature can keep medical staff in good working condition, and the appropriate humidity helps prevent static electricity generation and ensures the normal operation of surgical equipment.

[0075] By analyzing the second processing unit in the middle hidden layer of the model and combining with the real-time environmental changes in the ward, such as sudden changes in outdoor temperature and heat and humidity fluctuations caused by the flow of people in the ward, the comfortable range of temperature and humidity is fine-tuned in real time. The adjustment period does not exceed 10 minutes to ensure that it always meets the actual needs of the patient. The second processing unit thus outputs the corresponding second preset range of temperature and humidity.

[0076] For example: Department environment information, such as ward orientation, lighting, and ventilation facility layout, will affect the natural temperature and humidity conditions in the ward. Therefore, the first preset range of temperature and humidity needs to be corrected by the second processing unit. The specific correction principle of the second processing unit is as follows: Ward orientation and lighting: If the ward faces south and has sufficient sunlight, the indoor temperature will be relatively high during the day. In this case, for the originally set temperature range, it needs to be appropriately reduced. For example, the temperature upper limit is reduced by 1 - 2°C. For example, if the original first preset range of temperature and humidity is 23 - 25°C for temperature and 50% - 60% for humidity, the corrected second preset range of temperature and humidity becomes 22 - 24°C for temperature and 50% - 60% for humidity. On the contrary, if the ward faces north and has poor lighting and a low temperature, the temperature lower limit needs to be appropriately increased.

[0077] Ventilation facility layout: If the ward has good ventilation, the air circulates quickly and the moisture evaporates quickly, so the humidity is relatively low. At this time, the humidity lower limit needs to be appropriately increased, such as increasing the humidity lower limit by 5% - 10%. Suppose the first preset range of temperature and humidity is 22 - 24°C for temperature and 40% - 60% for humidity. After correction, the second preset range of temperature and humidity may become 22 - 24°C for temperature and 45% - 60% for humidity. For a ward with poor ventilation, in order to ensure air freshness, more attention needs to be paid to heat dissipation in temperature adjustment, and the temperature range is appropriately reduced.

[0078] After the third processing unit in the middle hidden layer corrects the second preset range of temperature and humidity according to the pathological information, the third preset range of temperature and humidity is obtained: Pathological information reflects the physical condition of the patient individual, and the requirements for temperature and humidity also vary depending on the condition. The specific correction principle of the third processing unit is as follows: Set different temperature and humidity according to different disease types: For patients with respiratory diseases such as pneumonia and asthma, too high or too low humidity may exacerbate symptoms. If a patient has such a disease, based on the second preset temperature and humidity range, the humidity range needs to be further precisely adjusted. For example, the humidity range can be adjusted to 45% - 55% to relieve the discomfort of the respiratory mucosa. For patients with cardiovascular diseases, too high or too low temperature may increase the burden on the heart, so the temperature range needs to be more strictly controlled. For example, the temperature range can be narrowed to 23 - 24°C.

[0079] Set different temperature and humidity according to different physiological indicators: If a patient's body temperature is higher than the normal level, it indicates that the body is in a fever state. At this time, the ambient temperature needs to be appropriately lowered to help the body dissipate heat. For example, if the second preset temperature and humidity range is 22 - 24°C for temperature and 45% - 55% for humidity, for a fever patient, the lower limit of the temperature needs to be lowered to 21°C, and the adjusted third preset temperature and humidity range becomes 21 - 23°C for temperature and 45% - 55% for humidity. Conversely, if a patient has low blood pressure and is relatively weak, the temperature needs to be appropriately increased to enhance the body's comfort.

[0080] The temperature and humidity comfort range is obtained by correcting the third preset temperature and humidity range according to the preference information through the fourth processing unit in the middle hidden layer: The preference information reflects the patient's personal preferences for temperature and humidity. Based on the third preset temperature and humidity range determined by comprehensively considering the hospitalization information, the final adjustment is made in combination with the preference information. The correction principle of the fourth processing unit is as follows: Correct the third preset temperature and humidity range according to the patient's temperature and humidity value preferences: By analyzing the patient's historical temperature and humidity adjustment records, analyze the preferences of each body part for temperature and humidity values. For example, during a patient's previous hospitalization, the patient often adjusted the temperature corresponding to the head to 23.5°C and the humidity to 52%, and the adjustment satisfaction was relatively high. Then, based on the third preset temperature and humidity range, with the patient's preferred temperature and humidity values as the center, the range is finely adjusted. Assuming that the temperature range for the head in the third preset temperature and humidity range is 23 - 24°C and the humidity range is 50% - 55%, after combining the preference information, the finally determined comfortable temperature and humidity range for the head is adjusted to 23.2 - 23.8°C for temperature and 51% - 53% for humidity.

[0081] Correct the temperature and humidity adjustment rate according to the patient's temperature and humidity adjustment rate preferences: Some patients are more sensitive to the adjustment rate of temperature and humidity. If a patient's waist prefers a slow temperature and humidity adjustment process, when adjusting the temperature and humidity, ensure that the change in temperature and humidity is within the acceptable rate range for the patient. By analyzing the temperature and humidity adjustment curves corresponding to each body part in the historical temperature and humidity adjustment records, as well as the corresponding satisfaction, the best temperature and humidity adjustment curves corresponding to each body part are obtained.

[0082] S400. Compare the temperature and humidity distribution information with the temperature and humidity comfort range to obtain a first comparison result.

[0083] Specifically, in a parallel computing manner, compare the temperature and humidity distribution information point by point with the temperature and humidity comfort range output by the output layer in the analysis model, output the first comparison result, and clearly identify the abnormal temperature and humidity areas on the hospital bed where the temperature and humidity exceed the comfort range, including detailed parameters such as the area location, range size, and deviation degree.

[0084] S500. Generate temperature and humidity adjustment information when the first comparison result indicates that there are abnormal temperature and humidity areas for the patient on the hospital bed, where the abnormal temperature and humidity areas represent areas where the temperature and humidity are not within the temperature and humidity comfort range.

[0085] Specifically, for the abnormal temperature and humidity areas, find the associated temperature and humidity adjustment units, determine the corresponding temperature and humidity adjustment amplitude according to the abnormal temperature and humidity data, determine the adjustment targets of the associated temperature and humidity adjustment units according to the corresponding temperature and humidity adjustment amplitude, and generate the temperature and humidity adjustment information of the temperature and humidity adjustment units according to the adjustment targets, so as to drive the temperature and humidity adjustment units to adjust the temperature and humidity.

[0086] The temperature and humidity adjustment information is to guide the temperature and humidity adjustment units to make targeted adjustments to the abnormal areas, and it mainly includes the following key parts: Adjustment area: Clearly indicate the specific abnormal temperature and humidity areas on the hospital bed, such as "upper left corner of the hospital bed (corresponding to the patient's shoulder position)" "lower middle part of the hospital bed (corresponding to the patient's hip position)", etc. This can be accurately located through the previously determined body part distribution information and the position of the temperature and humidity detection module.

[0087] Target temperature and humidity values: Determine the target temperature and humidity values that the abnormal area needs to be adjusted to according to the temperature and humidity comfort range. For example, if the temperature and humidity comfort range is 22 - 24°C for temperature and 45% - 55% for humidity, and the current temperature in the abnormal area is 26°C and the humidity is 30%, then the target temperature can be set to 23°C and the target humidity can be set to 50%.

[0088] Adjustment method: Heating, cooling, humidifying, or dehumidifying, etc. For example, for the above abnormal area with too high temperature and too low humidity, the adjustment method is "cooling and humidifying".

[0089] Adjustment rate: Combine the patient's temperature and humidity adjustment rate preference information to determine the speed of temperature and humidity adjustment. If the patient prefers slow adjustment, then the temperature adjustment rate can be set to decrease by 1°C per hour, and the humidity adjustment rate can be set to increase by 3% per hour.

[0090] Temperature and humidity comfort range: The basis for determining abnormal temperature and humidity areas and determining target temperature and humidity values. By comprehensively considering the hospitalization information and preference information of patients, the temperature and humidity comfort ranges at various locations on the hospital bed have been accurately determined, and this is used as a standard to measure whether the current temperature and humidity are abnormal.

[0091] Abnormal temperature and humidity data: The actual temperature and humidity data of the abnormal area collected and fed back in real time by the temperature and humidity detection module. Based on the differences between these data and the temperature and humidity comfort range, the specific adjustment direction and amplitude are determined.

[0092] Patient preference information: Information such as the patient's preference for the temperature and humidity adjustment rate plays an important role in generating adjustment information. Adjusting according to the patient's preferences can improve the patient's comfort and satisfaction.

[0093] Abnormal area identification and data collection: According to the first comparison result, accurately find the abnormal temperature and humidity areas on the hospital bed, and obtain the current temperature and humidity data of this area from the temperature and humidity detection module. For example, the system prompts that the temperature and humidity in the upper right corner area of the hospital bed are abnormal, and immediately obtains the current temperature of this area as 28°C and the humidity as 35%.

[0094] Determine the target temperature and humidity values: Compare the current temperature and humidity data of the abnormal area with the temperature and humidity comfort range to determine the target temperature and humidity values to be adjusted. Assume that the corresponding temperature and humidity comfort range for this area is: temperature 22 - 24°C, humidity 45% - 55%, then set the target temperature to 23°C and the target humidity to 50%.

[0095] Formulate the adjustment method and rate: According to the difference between the current temperature and humidity and the target temperature and humidity, determine the adjustment method (heating, cooling, humidifying, dehumidifying). At the same time, refer to the patient's preference information for the temperature and humidity adjustment rate and set a reasonable adjustment rate. If the patient prefers slow adjustment, the temperature can be set to decrease by 1°C per hour and the humidity to increase by 4% per hour.

[0096] Integrate and generate adjustment information: Integrate information such as the adjustment area, target temperature and humidity values, adjustment method, and adjustment rate to form complete temperature and humidity adjustment information. For example, the generated adjustment information is "Adjust the upper right corner area of the hospital bed (corresponding to the patient's right shoulder), the target temperature is 23°C, the target humidity is 50%, the adjustment method is cooling and humidifying, the temperature adjustment rate is 1°C per hour decrease, and the humidity adjustment rate is 4% per hour increase", and then drive the temperature and humidity adjustment unit in the upper right corner area of the bed to adjust the temperature and humidity.

[0097] In some alternative embodiments, it also includes evaluating the degree of harm of the abnormal temperature and humidity area. For abnormalities near key parts such as the patient's important organs and surgical incisions, a high priority is given to ensure priority adjustment, and at the same time, an emergency prompt message is pushed to the monitoring terminal at the nurse station, along with the area details and adjustment suggestions.

[0098] S600. Adjust the temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information, so that the temperature and humidity in the abnormal temperature and humidity area are within the comfortable temperature and humidity range.

[0099] The temperature and humidity adjustment module includes various types of temperature and humidity adjustment components. For example, a partitioned flexible heating / cooling film integrated inside the mattress can achieve precise control of the temperature under different body parts. The film thickness does not exceed 2 mm, and the thermal response time does not exceed 3 seconds. An intelligent ventilation device installed at the head, tail, and sides of the bed has multi-speed wind adjustment and 360-degree wind direction rotation functions. The ventilation volume adjustment range is 5 - 100 cubic meters per hour, and it can accurately supply air according to the adjustment instruction. The supporting humidity control equipment uses high-efficiency moisture absorption / humidification materials. The moisture absorption rate can reach 50 ml per hour, and the humidification rate can reach 30 ml per hour. It can adjust the local or overall humidity of the hospital bed as needed. During the adjustment process, the temperature and humidity data of the abnormal temperature and humidity area are re-collected every 30 seconds (the specific time is not limited, and this is only an example time here), compared with the comfortable temperature and humidity range, and the working parameters of the adjustment components are dynamically adjusted according to the deviation value. If the deviation is less than the set threshold, the adjustment intensity is gradually reduced to achieve energy-saving optimization until the temperature and humidity in the area are stable within the comfortable range.

[0100] In some alternative embodiments, the temperature and humidity module is provided on the hospital bed. The temperature and humidity module includes a plurality of temperature adjustment units, a plurality of humidity adjustment units, and a plurality of support units. The temperature adjustment units and the humidity adjustment units are provided on the support units. Adjusting the temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information includes: determining the temperature adjustment information of one or more of the temperature adjustment units and the humidity adjustment information of one or more of the humidity adjustment units on the hospital bed according to the temperature and humidity adjustment information; determining the temperature adjustment curve of the temperature adjustment unit according to the temperature adjustment information, where the temperature adjustment curve represents the adjustment rate of the temperature adjustment unit at different temperatures; determining the humidity adjustment curve of the humidity adjustment unit according to the humidity adjustment information, where the humidity adjustment curve represents the adjustment rate of the humidity adjustment unit at different humidities; adjusting the temperature adjustment unit according to the temperature adjustment curve and adjusting the humidity adjustment unit according to the humidity adjustment curve, so that the temperature and humidity in the abnormal temperature and humidity area are within the comfortable temperature and humidity range.

[0101] Specifically, based on the specified abnormal temperature and humidity area in the temperature and humidity adjustment information, combined with the layout of the temperature and humidity module on the hospital bed, one or more temperature adjustment units and humidity adjustment units corresponding to this area are determined. For example, if the abnormal temperature and humidity area is the upper left corner of the hospital bed (corresponding to the patient's shoulder position), then the temperature adjustment unit and humidity adjustment unit set in this area are found.

[0102] Extract key information such as the target temperature and humidity values, adjustment methods (heating, cooling, humidifying, dehumidifying), and adjustment rates from the temperature and humidity adjustment information. For the temperature adjustment unit, clarify the target temperature it needs to reach and the heating or cooling rate; for the humidity adjustment unit, determine the target humidity and the humidifying or dehumidifying rate. For example, if the temperature and humidity adjustment information requires adjusting the temperature in a certain abnormal area from 28°C to 23°C, with a cooling rate of 1°C per hour, and the humidity from 30% to 50%, with a humidifying rate of 4% per hour, then the temperature adjustment information for the corresponding temperature adjustment unit is a target temperature of 23°C and a cooling rate of 1°C per hour; the humidity adjustment information for the humidity adjustment unit is a target humidity of 50% and a humidifying rate of 4% per hour.

[0103] Determine the temperature adjustment curve of the temperature adjustment unit: The determination of the temperature adjustment curve is not only based on the adjustment rate but also needs to consider various factors such as the ambient temperature, the performance characteristics of the adjustment unit itself, and the heat capacity of the abnormal area. For example, in a hot summer, the ambient temperature is high, and the temperature adjustment unit may be affected by the ambient heat during the cooling process, resulting in a decrease in the adjustment rate; different models of temperature adjustment units have different cooling or heating capabilities, which also affect the shape of the adjustment curve.

[0104] Establish a mathematical model: A mathematical model of the temperature adjustment curve can be established through experiments or theoretical analysis. An exponential decay or linear change model can be used. Thus, the temperature values corresponding to the temperature adjustment unit at different times are obtained, thereby forming the temperature adjustment curve.

[0105] Determine the humidity adjustment curve of the humidity adjustment unit: Similar to the determination of the temperature adjustment curve. The determination of the humidity adjustment curve is similar to the temperature adjustment curve and also needs to consider factors such as the ambient humidity, the performance of the humidity adjustment unit, and the moisture absorption or dispersion characteristics of the abnormal area. For example, in a humid environment, when the humidity adjustment unit performs dehumidification operations, it may be interfered by the ambient water vapor, resulting in a slower adjustment rate. Similarly, an exponential decay or linear change mathematical model is used to describe the humidity adjustment process, and then the humidity adjustment curve is obtained.

[0106] Adjust the temperature and humidity unit according to the adjustment curve: During the adjustment process, the temperature and humidity module will monitor the temperature and humidity changes in the abnormal temperature and humidity area in real time, and feedback the monitoring data to the control system of the hospital bed. The control system compares the actual temperature and humidity values with the target values on the temperature adjustment curve and the humidity adjustment curve, and makes real-time adjustments to the temperature adjustment unit and the humidity adjustment unit according to the comparison results. For example, if the actual temperature drops slower than the speed set by the temperature adjustment curve, the control system will increase the cooling power of the temperature adjustment unit to speed up the cooling speed. Continuously adjust according to the adjustment curve until the temperature and humidity in the abnormal temperature and humidity area reach the comfortable range of temperature and humidity. During the adjustment process, continuously optimize the adjustment strategy to ensure the accuracy and stability of the adjustment, and provide a comfortable temperature and humidity environment for the patient.

[0107] In some embodiments, referring to Figure 2 , a plurality of temperature and humidity adjustment units are arranged in the bed board 100. The humidity adjustment unit includes a air supply device 130. The outer shell of the air supply device 130 is communicated with the through hole 121 on the support plate 120 and provides support for the support plate 120. Ventilation can be completed by controlling the fan 131 inside the air supply device 130, and the rotation speed of the corresponding fan 131 is set according to the ventilation requirement. A corresponding breathable mattress 110 is arranged on the support plate 120. A corresponding pressure sensor pad, heating sheet and moisture absorption sheet are arranged on the breathable mattress 110. The heating sheet can be heated according to the requirement, and the moisture absorption sheet can be dehumidified accordingly according to the requirement. A humidifying device 140 and a medicine adding device 150 are communicated on the air supply pipeline of the air supply device 130. The corresponding moisture is increased through the humidifying device 140, and the moisture is transported to the breathable mattress 110 through the air supply pipeline, thereby increasing the humidity. The corresponding medicine water is added through the medicine adding device 150 for sterilization, deodorization, etc.

[0108] In some embodiments, an interaction module is arranged on the hospital bed. The interaction module includes a graphical interface and operation buttons. The method further includes: obtaining the demand information of the patient through the graphical interface and / or the operation buttons. The demand information includes a request information for adjusting the sleeping position to assist, a request information for increasing or decreasing the quilt, and a request information for adjusting the temperature and humidity; sending the demand information to the monitoring terminal so that the medical staff can arrive at the hospital bed for adjusting the sleeping position, increasing or decreasing the quilt and / or adjusting the temperature and humidity, or sending a confirmation signal to the corresponding hospital bed controller through the monitoring terminal, and the hospital bed controller starts to adjust the sleeping position, increase or decrease the quilt and / or adjust the temperature and humidity according to the confirmation signal.

[0109] Specifically, the graphical interface on the hospital bed is a touch display screen that intuitively presents various function options. Patients can conveniently select the functions they need by touching the screen. For example, buttons with clear labels such as "Adjust Sleep Posture Assistance", "Increase / Decrease Bedding", and "Temperature and Humidity Adjustment" are provided on the graphical interface. When a patient feels unwell and needs to adjust their sleep posture, they can directly touch the "Adjust Sleep Posture Assistance" button, and the system will automatically record and generate a request information for adjusting the sleep posture. For temperature and humidity adjustment, adjustment sliders for temperature and humidity will be further provided. Patients can set the desired temperature and humidity values by sliding the sliders, thereby generating request information for temperature and humidity adjustment.

[0110] Operation button interaction: The operation buttons are another interaction method provided for patients, especially suitable for patients who are not very familiar with touch screen operations. These buttons are reasonably arranged and have a clear touch feeling, making it convenient for patients to operate. For example, dedicated buttons such as "Adjust Sleep Posture", "Increase Bedding", "Decrease Bedding", and "Temperature and Humidity Adjustment" are set. When a patient presses the corresponding button, the generation of the corresponding demand information can be triggered. For instance, when a patient feels cold and presses the "Increase Bedding" button, the system will generate a request information for increasing or decreasing the bedding.

[0111] After the interaction module obtains the patient's demand information, it will immediately send the information to the monitoring terminal through wired or wireless communication methods. The monitoring terminal is usually set in the nurse station or the duty area of medical staff, which is convenient for medical staff to conduct centralized monitoring. Medical staff can see the demand information sent by patients in each hospital bed in real time on the monitoring terminal. For example, it shows "The patient in bed 3 requests to adjust the sleep posture" and "The patient in bed 5 requests to increase the bedding".

[0112] After seeing the demand information, medical staff can choose different handling methods according to the actual situation. For some requests that require manual assistance, such as adjusting the sleep posture, medical staff will directly go to the corresponding hospital bed to provide help to the patient. For operations that can be automatically executed by the system, such as temperature and humidity adjustment, medical staff can confirm on the monitoring terminal. For example, confirm the "Temperature and Humidity Adjustment Request for Bed 5", and then send a confirmation signal to the corresponding bed controller through the monitoring terminal.

[0113] After receiving the confirmation signal from the monitoring terminal, the bed controller will start the corresponding operation according to the preset program. If it is a temperature and humidity adjustment request, the bed controller will control the temperature and humidity module to make precise adjustments based on the temperature and humidity values set by the patient and the actual values detected by the current temperature and humidity sensors. For a request to increase or decrease the bedding, the bed controller will control the equipment related to the bedding (such as the automatic bedding delivery device) to meet the patient's needs. For a request to adjust the sleep posture, the intelligent adjustment mechanism of the bed will assist the patient to adjust to a suitable sleep posture.

[0114] The beneficial effects of the present invention include: when the present invention obtains an instruction to regulate temperature and humidity, it obtains temperature and humidity distribution information, where the temperature and humidity distribution information represents the temperature and humidity distribution at various positions of a patient on a hospital bed; it obtains the hospitalization information and preference information of the patient, where the hospitalization information includes pathological information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathological information represents the medical information of the patient and / or the physiological information obtained through a physiological monitoring module, and the preference information represents the adjustment preference information obtained through historical temperature and humidity adjustment information; it determines a temperature and humidity comfort range according to the hospitalization information and preference information, where the temperature and humidity comfort range represents the desired temperature and humidity range at various positions of the patient on the hospital bed; it compares the temperature and humidity distribution information with the temperature and humidity comfort range to obtain a first comparison result; when the first comparison result indicates that there is an abnormal temperature and humidity area for the patient on the hospital bed, it generates temperature and humidity adjustment information, where the abnormal temperature and humidity area represents an area where the temperature and humidity are not within the temperature and humidity comfort range; it adjusts the temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information, so that the temperature and humidity in the abnormal temperature and humidity area are within the temperature and humidity comfort range. By automatically obtaining the temperature and humidity distribution information of the patient on the hospital bed, determining the temperature and humidity comfort range through hospitalization information and preference information, comparing the temperature and humidity distribution information with the temperature and humidity comfort range to determine the corresponding temperature and humidity adjustment information, and adjusting the temperature and humidity module of the abnormal temperature and humidity area through the temperature and humidity adjustment information, the temperature and humidity in the abnormal temperature and humidity area are within the temperature and humidity comfort range, thus avoiding the risk of the patient developing bedsores due to abnormal temperature and humidity, and enabling the patient to recuperate better. Therefore, the present application can intelligently regulate the temperature and humidity on the hospital bed, prevent the occurrence of bedsores, and enable the patient to recuperate better.

[0115] As Figure 4 shown, Figure 4 FIG. shows a structural block diagram of a controller 1000 according to an embodiment of the present application. The components of the controller 1000 include but are not limited to a memory 1200 and a processor 1100. The processor 1100 is connected to the memory 1200 through a bus, and the memory 1200 is used to store data.

[0116] The controller 1000 also includes an access device that enables the controller 1000 to communicate via one or more networks. Examples of such networks include the Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or a combination of communication networks such as the Internet. The access device may include one or more of any type of wired or wireless network interface (e.g., Network Interface Card (NIC)), such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, Worldwide Interoperability for Microwave Access (Wi-MAX) interface, Ethernet interface, Universal Serial Bus (USB) interface, cellular network interface, Bluetooth interface, Near Field Communication (NFC) interface, and so on.

[0117] The controller 1000 can be any type of stationary or mobile electronic device, including mobile computers or mobile electronic devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable electronic devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary electronic devices such as desktop computers or PCs. The controller 1000 can also be a mobile or stationary server.

[0118] Among them, the processor 1100 is used to execute the computer-executable instructions of the temperature and humidity control method.

[0119] The above is a schematic solution of a controller in this embodiment. It should be noted that the technical solution of this controller and the technical solution of the above temperature and humidity control method belong to the same concept. For the details not described in the technical solution of the controller, reference can be made to the description of the technical solution of the above temperature and humidity control method.

[0120] According to an embodiment of the present application, a temperature and humidity control system is also provided. The temperature and humidity control system includes a hospital bed, in which the controller 1000 is installed, or the hospital bed is communicatively connected to the controller 1000, so that the hospital bed can adjust the temperature and humidity through the controller 1000. It should be noted that the technical solution of this temperature and humidity control system and the technical solution of the above temperature and humidity control method belong to the same concept. For the details not described in the technical solution of the computing device, reference can be made to the description of the technical solution of the above temperature and humidity control method.

[0121] The embodiment of the present application also provides a storage medium, which is a computer-readable storage medium. The storage medium stores a computer program, and when the computer program is executed by a processor, the above temperature and humidity control method is implemented.

[0122] As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory may include a memory remotely located relative to the processor, and these remote memories can be connected to the processor through a network. Examples of the above networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0123] Those of ordinary skill in the art will understand that all or some of the steps and systems disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or can be implemented as hardware, or can be implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include a computer storage medium (or non-transitory medium) and a communication medium (or transitory medium). As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, a communication medium generally includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and can include any information delivery medium.

[0124] The above is a specific description of the preferred embodiments of this application, but this application is not limited to the above embodiments. Those skilled in the art can also make various equivalent deformations or substitutions without departing from the spirit of this application, and these equivalent deformations or substitutions are all included within the scope defined by the claims of this application.

Claims

1. A temperature and humidity control method, characterized in that: The method comprises: Acquiring temperature and humidity distribution information, wherein the temperature and humidity distribution information represents the temperature and humidity distribution of the patient at various locations on the bed; Acquiring the hospitalization information and preference information of the patient, specifically comprising: acquiring the hospitalization information through a database module, acquiring historical temperature and humidity adjustment values ​​and adjustment satisfaction corresponding to the historical temperature and humidity adjustment values ​​through the database module, and determining the preference information according to the historical temperature and humidity adjustment values ​​and the adjustment satisfaction, wherein the preference information includes temperature and humidity adjustment rate preference information and temperature and humidity value preference information; determining a temperature and humidity comfort range according to the hospitalization information and the preference information, wherein the temperature and humidity comfort range represents the patient's desired temperature and humidity range at various locations on the bed; Comparing the temperature and humidity distribution information with the temperature and humidity comfort range to obtain a first comparison result; If the first comparison result indicates that the patient is in an abnormal temperature and humidity area on the bed, generating temperature and humidity adjustment information, wherein the abnormal temperature and humidity area indicates an area where the temperature and humidity are not in the temperature and humidity comfort range; The temperature and humidity module corresponding to the abnormal temperature and humidity area is adjusted according to the temperature and humidity adjustment information so that the temperature and humidity of the abnormal temperature and humidity area are within the temperature and humidity comfortable range.

2. A temperature and humidity control method according to claim 1, characterized in that: Before obtaining the temperature and humidity distribution information, the method further includes: Acquiring patient pressure distribution information, wherein the patient pressure distribution information represents pressure distribution information of the patient at various locations on the bed; Comparing the patient pressure distribution information with a preset pressure distribution model for similarity to obtain a patient pressure distribution model, wherein the patient pressure distribution model represents a pressure distribution model with the highest similarity to the patient pressure distribution area in the preset pressure distribution model; The body part distribution information is determined according to the patient pressure distribution model, where the body part distribution information represents the body part information corresponding to each area of ​​the patient on the hospital bed.

3. A temperature and humidity control method according to claim 2, characterized in that: The obtaining of temperature and humidity distribution information includes: Determine the temperature and humidity detection module corresponding to the bed according to the body part distribution information; The temperature and humidity distribution information is obtained by detecting the temperature and humidity information corresponding to each body part through the temperature and humidity detection module.

4. A temperature and humidity control method according to claim 1, characterized in that: The hospitalization information includes pathological information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathological information represents the patient's medical information and / or physiological information obtained by the physiological monitoring module, and the temperature and humidity comfort range is determined according to the hospitalization information and the preference information, including: Determine a first temperature and humidity preset range according to the department type information; The first temperature and humidity preset range is corrected according to the department environment information to obtain a second temperature and humidity preset range; The second temperature and humidity preset range is corrected according to the pathological information to obtain a third temperature and humidity preset range; The temperature and humidity comfort range is obtained by correcting the third temperature and humidity preset range according to the preference information.

5. A temperature and humidity control method according to claim 1, characterized in that: An interactive module is provided on the bed, and the interactive module includes a graphical interface and an operation button. The method further includes: Acquiring the patient's demand information through the graphical interface and / or the operation button, the demand information including request information for assistance in adjusting sleeping posture, request information for adding or removing bedding, and request information for adjusting temperature and humidity; The demand information is sent to the monitoring terminal so that medical staff can reach the bed to adjust the sleeping position, add or remove bedding and / or adjust the temperature and humidity, or a confirmation signal is sent to the corresponding bed controller through the monitoring terminal, and the bed controller starts sleeping position adjustment, adding or removing bedding and / or adjusting the temperature and humidity according to the confirmation signal.

6. A temperature and humidity control method according to claim 1, characterized in that: The temperature and humidity module is arranged on the hospital bed, and the temperature and humidity module comprises a plurality of temperature adjustment units, a plurality of humidity adjustment units and a plurality of support units, wherein the temperature adjustment unit and the humidity adjustment unit are arranged on the support unit, and the temperature and humidity module corresponding to the abnormal temperature and humidity area is adjusted according to the temperature and humidity adjustment information, comprising: Determine temperature adjustment information of one or more temperature adjustment units and humidity adjustment information of one or more humidity adjustment units on the bed according to the temperature and humidity adjustment information; Determine a temperature adjustment curve of the temperature adjustment unit according to the temperature adjustment information, wherein the temperature adjustment curve represents the adjustment rate of the temperature adjustment unit at different temperatures; Determine a humidity adjustment curve of the humidity adjustment unit according to the humidity adjustment information, wherein the humidity adjustment curve represents an adjustment rate of the humidity adjustment unit at different humidities; The temperature adjustment unit is adjusted according to the temperature adjustment curve, and the humidity adjustment unit is adjusted according to the humidity adjustment curve, so that the temperature and humidity of the abnormal temperature and humidity area are within the temperature and humidity comfortable range.

7. A controller, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the temperature and humidity control method according to any one of claims 1 to 6 when executing the computer program.

8. A temperature and humidity control system, characterized in that: include: The controller of claim 7.

9. A computer storage medium, characterized in that The computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the temperature and humidity control method according to any one of claims 1 to 6.

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