Intelligent temperature and humidity adjustment method, electronic device, and storage medium

Abstract

The present application discloses a method for intelligently adjusting temperature and humidity, an electronic device, and a storage medium, and relates to the field of hospital bed control technology. The method includes: determining a target temperature range and a target humidity range according to the patient's condition information; within a preset adjustment cycle, based on the row and column information of the sub-regions in the area on the hospital bed, the temperature comparison results of each current actual temperature and the target temperature range are recorded as a first state matrix, and the humidity comparison results of each current actual humidity and the target humidity range are recorded as a second state matrix, and a matrix operation of bitwise multiplication is performed to obtain a third state matrix; an adjustment mode selection signal for each sub-region is generated according to each third state value; and the temperature and humidity of the target adjustment region determined from the sub-region is adjusted according to the corresponding adjustment mode selection signal, so as to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range. The temperature and humidity of the hospital bed can be adjusted to improve the comfort of the patient.

Description

Technical Field

[0001] The present application relates to the field of hospital bed control technology, and in particular to a method for intelligently adjusting temperature and humidity, an electronic device, and a storage medium. Background Art

[0002] Hospital beds are often used in hospitals, health centers, or health service centers. When the temperature of the bed is low, it takes a long time to warm up with body temperature, which not only consumes the body's heat energy, but also makes the cerebral cortex excited after a period of cold stimulation, thereby delaying the time to fall asleep or causing shallow sleep. The humidity of the bed also affects the user's sleep quality. When the humidity of the bed is high, the patient's body surface will feel sticky and uncomfortable. Too dry can cause skin problems in patients, causing symptoms such as itching. Changes in the temperature and humidity of the bed will also affect the patient's rest.

[0003] Different patients have different physiques. Some people are born with cold bodies, and it may be difficult for them to raise the temperature of the bed with their own body temperature after a long time; some people have hot bodies and sweat easily, which causes the temperature and humidity in some places on the bed to rise. Even if the patient feels that the local temperature and humidity are uncomfortable in the current lying position, due to the limited size of the bed, the space for the patient to change posture is also very limited. In addition, some patients have difficulty in moving (such as patients with fractures who can only rest in bed). Even if they feel that the local temperature and humidity are uncomfortable in the current lying position, they cannot change their lying position frequently and arbitrarily; they need to endure the uncomfortable temperature and humidity environment in the bed, and the patient's comfort level is low. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a temperature and humidity intelligent adjustment method, an electronic device, and a storage medium, which can adjust the temperature and humidity of a hospital bed and improve the comfort of patients.

[0005] In a first aspect, an embodiment of the present application provides a method for intelligently adjusting temperature and humidity, comprising:

[0006] Determine a target temperature range and a target humidity range based on the acquired patient condition information;

[0007] Within a preset adjustment cycle, obtaining the current actual temperature and the current actual humidity of each sub-area in the divided bed area;

[0008] Based on the row and column information of the sub-areas, the temperature comparison results of each of the current actual temperatures and the target temperature range are recorded as a first state matrix, and the humidity comparison results of each of the current actual humidity and the target humidity range are recorded as a second state matrix;

[0009] Performing a matrix operation of bitwise multiplication on the first state matrix and the second state matrix to obtain a third state matrix; third state values ​​of different values ​​in the third state matrix are used to indicate different bed temperature and humidity states of corresponding sub-areas;

[0010] generating a regulation mode gating signal for each sub-region according to each of the third state values;

[0011] In response to the adjustment instruction, a target adjustment area is determined from the sub-areas, and the target adjustment area is subjected to temperature and humidity adjustment processing according to the corresponding adjustment mode selection signal to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range.

[0012] In a second aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the intelligent temperature and humidity adjustment method as described in the first aspect is implemented.

[0013] In a third aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to implement the intelligent temperature and humidity adjustment method as described in the first aspect when executed by a processor.

[0014] The embodiment of the present application includes: in the process of intelligently adjusting the temperature and humidity of the hospital bed, first, determining the target temperature range and the target humidity range according to the acquired patient condition information; providing reliable reference information for temperature and humidity adjustment; then, within a preset adjustment period, obtaining the current actual temperature and the current actual humidity of each sub-area in the divided hospital bed area; preparing data for subsequent judgment of the temperature and humidity state of the bed; then, based on the row and column information of the sub-area, simultaneously recording the temperature comparison results of each current actual temperature and the target temperature range as a first state matrix, and recording the humidity comparison results of each current actual humidity and the target humidity range as a second state matrix. Matrix; then, the first state matrix and the second state matrix are subjected to a matrix operation of bitwise multiplication to obtain a third state matrix; the third state values ​​of different values ​​in the third state matrix are used to indicate different bed temperature and humidity states of the corresponding sub-areas; so as to determine the adjustment mode selection signal; then, the adjustment mode selection signal of each sub-area is generated according to each third state value; finally, the target adjustment area is determined from the sub-area in response to the adjustment instruction, and the temperature and humidity adjustment processing is performed on the target adjustment area according to the corresponding adjustment mode selection signal, so as to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range, so as to improve the patient's comfort. That is to say, the embodiment of the present application can adjust the temperature and humidity of the bed and improve the patient's comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a schematic diagram of a temperature and humidity intelligent adjustment system provided by an embodiment of the present application;

[0016] Figure 2 is a schematic diagram of a specific structure of a regulating module provided by an embodiment of the present application;

[0017] Figure 3 It is a flow chart of a method for intelligently adjusting temperature and humidity provided by an embodiment of the present application;

[0018] Figure 4 This is a schematic diagram of a specific process of generating a preset mapping table provided by an embodiment of the present application;

[0019] Figure 5 This is a schematic diagram of a specific process of determining a target adjustment mode provided by an embodiment of the present application;

[0020] Figure 6 It is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0022] It should be understood that in the description of the present application, the orientation descriptions, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0023] It should be noted that although a logical order is shown in the flowchart in the description of the present application, in some cases, the steps shown or described may be performed in an order different from that in the flowchart. In the description of the present application, a number of means one or more, and a plurality of means two or more. The description of "first" and "second" is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0025] The present application provides a method for intelligently adjusting temperature and humidity, an electronic device, and a computer-readable storage medium, the method comprising: determining a target temperature range and a target humidity range according to patient condition information; within a preset adjustment cycle, based on the row and column information of the sub-regions in the bed area of ​​the hospital bed, simultaneously recording the temperature comparison results of each current actual temperature and the target temperature range as a first state matrix, recording the humidity comparison results of each current actual humidity and the target humidity range as a second state matrix, performing a matrix operation of bitwise multiplication to obtain a third state matrix; generating an adjustment mode selection signal for each sub-region according to each third state value; and adjusting the temperature and humidity of the target adjustment region determined from the sub-region according to the corresponding adjustment mode selection signal, so as to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range. The temperature and humidity of the hospital bed can be adjusted to improve the comfort of the patient.

[0026] The embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0027] like Figure 1 As shown, the temperature and humidity intelligent adjustment system 100 includes: a controller 110, a temperature sensor 120, a humidity sensor 130, an adjustment module 140, a display module 150, an infrared device 160, and an image acquisition device 170. The humidity sensor 130, the adjustment module 140, the display module 150, the infrared device 160, and the image acquisition device 170 are electrically connected to the controller 110. Each sub-area divided in the bed area is configured with a temperature sensor 120, a humidity sensor 130, and an adjustment module 140; a display module 150, an infrared device 160, and an image acquisition device 170 are provided for each bed.

[0028] Specifically, the temperature sensor 120 and the humidity sensor 130 are evenly distributed on the inner side of the mattress contacting the human body. The temperature sensor 120 is used to obtain the current actual temperature of each sub-area; the humidity sensor 130 is used to obtain the current actual humidity of each sub-area.

[0029] Specifically, the display module 150 is used to display the temperature and humidity status of the bed in each sub-area and the corresponding adjustment mode selection signal. The infrared device 160 is used to detect whether there is someone in the bed area. The image acquisition device 170 is used to scan towards the visiting object and obtain the visiting object's image; so that the subsequent controller can perform identity authentication (such as face recognition) on the visiting object image to determine whether it is the same as the pre-stored patient identity information. If the same, it is determined that the patient is in place; if different, it is determined that the patient is not in place.

[0030] like Figure 2As shown, the adjustment module 140 also includes: a fan 141 and an electric heating unit 142; the fan 141 and the electric heating unit 142 are electrically connected to the controller respectively. The fan 141 and the electric heating unit 142 are used to work under the control of the controller to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range.

[0031] The controller 110 is used to cooperate with the temperature sensor 120, the humidity sensor 130, the adjustment module 140, the display module 150, the infrared device 160, and the image acquisition device 170 to implement the intelligent temperature and humidity adjustment method provided in the embodiment of the present application.

[0032] The embodiment of the present application realizes intelligent temperature and humidity regulation through the temperature and humidity intelligent regulation system 100, which can adjust the temperature and humidity of the hospital bed and improve the comfort of the patient.

[0033] Those skilled in the art will appreciate that the system structure shown in the figure does not constitute a limitation on the embodiments of the present application, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0034] The system embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0035] Those skilled in the art will appreciate that the system architecture and application scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of the system architecture and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.

[0036] Based on the above system structure, various embodiments of the temperature and humidity intelligent adjustment method of the present application are proposed below.

[0037] First, as Figure 3 As shown, the temperature and humidity intelligent adjustment method can be applied to Figure 1 In the system framework shown, the temperature and humidity intelligent adjustment method may include but is not limited to steps S110 to S160.

[0038] Step S110: determining a target temperature range and a target humidity range according to the acquired patient condition information.

[0039] Step S120: within a preset adjustment period, obtaining the current actual temperature and the current actual humidity of each sub-area in the divided bed area.

[0040] Step S130: Based on the row and column information of the sub-areas, the temperature comparison results between each current actual temperature and the target temperature range are recorded as a first state matrix, and the humidity comparison results between each current actual humidity and the target humidity range are recorded as a second state matrix.

[0041] Step S140: performing a matrix operation of bitwise multiplication on the first state matrix and the second state matrix to obtain a third state matrix; the third state values ​​of different values ​​in the third state matrix are used to indicate different bed temperature and humidity states of the corresponding sub-areas.

[0042] Step S150: generating an adjustment mode selection signal for each sub-region according to each third state value.

[0043] Step S160: In response to the adjustment instruction, a target adjustment area is determined from the sub-areas, and temperature and humidity adjustment processing is performed on the target adjustment area according to the corresponding adjustment mode selection signal to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range.

[0044] Specifically, before step S110, it also includes: when the infrared device detects that someone is in the area of ​​the bed, the image acquisition device scans toward the visiting object to obtain the image of the visiting object; the image of the visiting object is authenticated (such as facial recognition), and when it is the same as the pre-stored patient identity information, it is determined that the patient is in place and the temperature and humidity intelligent adjustment system is started. Within the preset detection time, if the infrared device detects that no one is in the area of ​​the bed, the temperature and humidity intelligent adjustment system is turned off. In this way, the temperature and humidity intelligent adjustment start mechanism is realized. It is understandable that during hospitalization, patients also need to leave the bed to go to the examination room for reexamination, go downstairs for activities or for rehabilitation training, etc. If the temperature and humidity intelligent adjustment system is always running, it will cause performance waste. Therefore, the embodiment of the present application configures the temperature and humidity intelligent adjustment start mechanism, and only starts the temperature and humidity intelligent adjustment system when the patient is in his own bed, which effectively reduces the waste of system performance.

[0045] To further explain step S110, specifically, the patient's condition information comes from the hospital's information management system, and the patient's condition information includes but is not limited to: the patient's past medical history, current diagnosis results, and currently formulated treatment plans; specifically, the patient's past medical history may include: whether he suffers from chronic diseases such as hypertension, diabetes, heart disease, or a history of surgery; the current diagnosis results may include: heat stroke, nephritis, fractures, etc. Treatment plans may include: infusion plans, rehabilitation training plans, etc. These patient condition information is stored in the hospital's information management system. Specifically, the patient's condition information is queried in the information management system by obtaining the patient's unique identity identification code (such as ID card information, medical record number). Obtaining the target temperature range and target humidity range through step S110 provides reliable reference information for temperature and humidity adjustment.

[0046] Specifically, in the southern region, on rainy days or in weather with high air humidity, bed sheets and quilts will absorb moisture in the air, become damp and cold, and are not suitable for patients to use. Therefore, it is necessary to adjust the temperature and humidity of the bed to improve the comfort of patients. In addition, patients with different causes have different requirements for bed temperature and humidity. Specifically, for patients with fractures who cannot move easily, they cannot move in bed for a long time, and the parts that are in close contact with the mattress (such as the waist and back) are not ventilated, which is easy to be damp and breed bacteria, and serious skin ulcers and bedsores will occur. Therefore, it is necessary to maintain the humidity of the mattress, such as controlling the relative humidity of the bed at 2%~5% (i.e., the target humidity range). However, the demand for temperature control is not high, and it can be maintained at a comfortable 32℃~34℃. For patients with excessive blood loss, abnormal hematopoietic function, or low body temperature, the target temperature range can be determined to be 36℃~37℃. If the humidity requirement is not high, the target humidity range can be determined to be the conventional 5%~10%. According to research, people are most likely to fall asleep when the bed temperature is 32℃-34℃. The target temperature range may also be set to 32° C.-34° C. It is understandable that the above is only an exemplary description, and the target temperature range and the target humidity range may be adjusted according to actual conditions and requirements.

[0047] Specifically, a preset temperature and humidity recommendation table can be formulated based on experience, and the temperature and humidity recommendation table is used to indicate: the mapping relationship between the patient's condition information and the target temperature range and target humidity range. Then step S110 includes: after obtaining the patient's condition information, searching in the temperature and humidity recommendation table according to the patient's condition information to determine the target temperature range and target humidity range. In this way, the target temperature range and target humidity range required by the patient can be quickly determined. It can be understood that the temperature and humidity recommendation table can be configured and modified; this application does not make specific restrictions on the target temperature range and target humidity range corresponding to patients with different medical conditions.

[0048] Further explaining step S120, the temperature and humidity intelligent adjustment system also includes: a temperature sensor and a humidity sensor, which are evenly distributed on the inner side of the contact surface between the mattress and the human body. Specifically, each sub-area divided in the bed area is equipped with a temperature sensor and a humidity sensor. The current actual temperature and the current actual humidity of each sub-area can be obtained by the temperature sensor and humidity sensor set in each sub-area. By obtaining the current actual temperature and the current actual humidity of each sub-area, data preparation is made for the subsequent judgment of the temperature and humidity status of the bed.

[0049] Specifically, in step S130, the row and column information based on the sub-areas includes: the number of rows and columns obtained after the bed area is divided; and the row and column positions of each sub-area. Figure 1 As shown, the area on the bed of a hospital bed is divided into 5 rows and 3 columns, with a total of 12 sub-areas; the row and column positions of the sub-area in the first row and the first column are (1, 1); the row and column positions of the sub-area in the first row and the second column are (1, 2); the row and column positions of the sub-area in the third row and the second column are (3, 2) and so on, and the row and column positions of each sub-area can be obtained. It can be understood that the number of rows and columns can be set according to the size of the area on the bed of the hospital bed at the factory, and can also be set to divide the area on the bed of the hospital bed into 4 rows and 3 columns, etc. Therefore, the embodiment of the present application does not impose specific restrictions on the number of rows and columns obtained after the area on the bed of the hospital bed is divided.

[0050] It is understandable that even if the current actual temperature is adjusted to within the target temperature range and the current actual humidity is adjusted to within the target humidity range through step S120 and step S160. However, the human body generates heat all the time, and after a period of time, the temperature and humidity of the bed surface will change again. Therefore, when the patient is in bed, it is necessary to continuously perform intelligent temperature and humidity adjustment. When the target temperature range and the target humidity range are determined, steps S120 and S160 will be executed within the preset adjustment cycle; in the next preset adjustment cycle, steps S120 and S160 will be executed again; and so on, and periodic intelligent temperature and humidity adjustment processing will be performed. Until the patient is detected to leave the bed, the temperature and humidity intelligent adjustment system is turned off, or the patient / nurse / system administrator manually turns off the temperature and humidity intelligent adjustment system, and stops the temperature and humidity intelligent adjustment processing. The preset adjustment period can be 1 hour or 1.5 hours, etc., and this application does not impose specific restrictions on the value of the preset adjustment period.

[0051] After step S160, specifically, when the current patient is discharged and a new patient is admitted, the patient condition information corresponding to the current bed will be updated; or, if the current patient's condition is aggravated or relieved, the patient condition information corresponding to the current bed will be updated. In this case, the temperature and humidity intelligent adjustment method of the present application also includes: in response to the update of the patient's condition information of the current bed, re-determining the new target temperature range and the new target humidity range according to the updated patient's condition information; based on the new target temperature range and the new target humidity range, re-performing periodic temperature and humidity intelligent adjustment processing on the area on the bed of the bed. The embodiment of the present application can adapt to the changes of patients on the bed, automatically obtain new patient condition information, re-execute the periodic temperature and humidity intelligent adjustment processing shown in steps S120 to S160 based on the new target temperature range and the new target humidity range, adjust the current actual temperature to within the new target temperature range, and adjust the current actual humidity to within the new target humidity range; it has strong universality.

[0052] Through steps S110 to S160, in the process of intelligently adjusting the temperature and humidity of the hospital bed, first, the target temperature range and the target humidity range are determined according to the acquired patient condition information; reliable reference information is provided for temperature and humidity adjustment; then, within the preset adjustment period, the current actual temperature and the current actual humidity of each sub-area in the divided hospital bed area are obtained; data is prepared for subsequent judgment of the temperature and humidity state of the bed; then, based on the row and column information of the sub-area, the temperature comparison results of each current actual temperature and the target temperature range are recorded as the first state matrix, and the humidity comparison results of each current actual humidity and the target humidity range are recorded as the second state matrix. The first state matrix is ​​a two-state matrix; then, a matrix operation of bitwise multiplication is performed on the first state matrix and the second state matrix to obtain a third state matrix; the third state values ​​of different values ​​in the third state matrix are used to indicate different bed temperature and humidity states of the corresponding sub-areas; so as to determine the adjustment mode selection signal; then, the adjustment mode selection signal of each sub-area is generated according to each third state value; finally, the target adjustment area is determined from the sub-area in response to the adjustment instruction, and the temperature and humidity adjustment processing is performed on the target adjustment area according to the corresponding adjustment mode selection signal, so as to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range, so as to improve the patient's comfort. Therefore, the embodiment of the present application can adjust the temperature and humidity of the bed and improve the patient's comfort.

[0053] According to some embodiments of the present application, step S130 is further described. Specifically, different first state values ​​in the first state matrix are used to indicate different temperature comparison results; different second state values ​​in the second state matrix are used to indicate different humidity comparison results. Step S130 may include but is not limited to steps S210 to S230.

[0054] Step S210: when the number of rows is M and the number of columns is N, a first matrix to be processed and a second matrix to be processed with a size of M*N are generated.

[0055] Step S220: For each sub-region, a humidity comparison process is performed based on the current actual humidity and the target humidity range, and the value of the first state value of each sub-region is determined according to the temperature comparison results of each sub-region; at the same time, a humidity comparison process is performed based on the current actual humidity and the target humidity range, and the value of the second state value of each sub-region is determined according to the humidity comparison results of each sub-region.

[0056] Step S230: writing each first state value into the first matrix to be processed according to the row and column positions of each sub-region to obtain a first state matrix; writing the second state value into the second matrix to be processed to obtain a second state matrix.

[0057] In step S210, the size of the first matrix to be processed and the second matrix to be processed is determined by the number of rows M and the number of columns N of the sub-region, and the present application does not impose any specific restrictions on the number of rows M and the number of columns N. The first matrix to be processed is used to store each first state value, and the second matrix to be processed is used to store each second state value.

[0058] Further explaining step S220, step S220 includes: temperature comparison processing and humidity comparison processing. Specifically, the target temperature range includes: a first temperature end value and a second temperature end value greater than the first temperature end value; the target humidity range includes: a first humidity end value and a second humidity end value greater than the first humidity end value.

[0059] According to some embodiments of the present application, the value of the first state value of each sub-region is determined based on the obtained temperature comparison results of each sub-region, including but not limited to steps S221 to S223.

[0060] Step S221: When the temperature comparison result is: the current actual temperature is less than the first temperature end value, determine that the value of the first state value is a first prime number.

[0061] Step S222: When the temperature comparison result is: the current actual temperature is not less than the first temperature end value and not greater than the second temperature end value, determine that the value of the first state value is a second prime number; the second prime number is greater than the first prime number.

[0062] Step S223: When the temperature comparison result is: the current actual temperature is greater than the second temperature end value, determine that the value of the first state value is a third prime number; the third prime number is greater than the second prime number; wherein the first prime number, the second prime number and the third prime number are different from each other.

[0063] It can be understood that by assigning a value to the first state value, the bed temperature state of each sub-area can be quickly known through its specific value.

[0064] Through steps S221 to S223, temperature comparison processing is implemented to determine the temperature status of the bed; and the value of the first state value is determined based on the temperature status of the bed so as to be recorded in the first matrix to be processed; this facilitates management personnel or patients to call up data and quickly understand the current temperature status of the bed in each sub-area.

[0065] According to some embodiments of the present application, the value of the second state value of each sub-area is determined based on the humidity comparison results of each sub-area, including but not limited to steps S224 to S226.

[0066] Step S224: When the humidity comparison result is: the current actual humidity is less than the first humidity end value, determine that the value of the second state value is a fourth prime number.

[0067] Step S225: When the humidity comparison result is: the current actual humidity is not less than the first humidity end value and not greater than the second humidity end value, determine that the value of the second state value is the fifth prime number; the fifth prime number is greater than the fourth prime number.

[0068] Step S226: When the humidity comparison result is: the current actual humidity is greater than the second humidity end value, determine that the value of the second state value is a sixth prime number; the sixth prime number is greater than the fifth prime number; wherein the fourth prime number, the fifth prime number and the sixth prime number are different from each other.

[0069] It can be understood that by assigning a value to the second state value, the humidity state of the bed in each of the previous sub-areas can be quickly known through its specific value.

[0070] Through steps S224 to S226, humidity comparison processing is implemented to determine the humidity status of the bed; and the value of the second state value is determined based on the humidity status of the bed so as to be recorded in the second matrix to be processed; this facilitates management personnel or patients to call up data and quickly understand the current humidity status of the bed in each sub-area.

[0071] Specifically, the first prime number, the second prime number, the third prime number, the fourth prime number, the fifth prime number, and the sixth prime number are different from each other. In one embodiment, the first prime number is 2, the second prime number is 3, and the third prime number is 5; the fourth prime number is 7, the fifth prime number is 11, and the sixth prime number is 13. In another embodiment, the first prime number is 3, the second prime number is 5, and the third prime number is 7; the fourth prime number is 11, the fifth prime number is 13, and the sixth prime number is 17. Therefore, the embodiment of the present application does not specifically limit the values ​​of the first prime number, the second prime number, the third prime number, the fourth prime number, the fifth prime number, and the sixth prime number.

[0072] It can be understood that the first state value is determined as a different prime number according to different temperature comparison results, and the second state value is assigned to a different prime number according to different humidity comparison results. In this way, the product of any first state value and any second state value is different, which lays a data foundation for obtaining a unique third state value.

[0073] Specifically, for the same sub-area, the temperature comparison processing implemented by steps S221 to S223 and the humidity comparison processing implemented by steps S224 to S226 can be performed simultaneously, that is, the temperature and humidity of the bed in a sub-area are determined simultaneously, thereby improving data processing efficiency.

[0074] To further explain step S230, through the data storage processing of step S230, a first state matrix and a second state matrix are obtained, so that it is convenient to form a detection record and to perform data management.

[0075] Through steps S210 to S230, the bed temperature conditions of each sub-area are determined through temperature comparison processing. At the same time, the bed humidity conditions of each sub-area are determined through humidity comparison processing, which lays the foundation for the subsequent determination of the comprehensive bed temperature and humidity status.

[0076] Further explaining step S140, the first state matrix and the second state matrix are subjected to a matrix operation of bitwise multiplication to obtain a third state matrix. Among them, the first state matrix and the second state matrix are both M rows and N columns, and have the basis for performing a matrix operation of bitwise multiplication of matrices. The matrix operation of bitwise multiplication of matrices refers to: multiplying two elements at the same row and column positions in two matrices. Specifically, A.*B means that the elements in matrix A and the elements in matrix B are multiplied according to the same position, and the result is used as the element at the same position in the new matrix. Specifically, in MATLAB, the dot multiplication is represented by the .* operator; the matrix operation of bitwise multiplication refers to the dot multiplication operation in MATLAB. Therefore, the first state value and the second state value at the same row and column position of the first state matrix and the second state matrix are multiplied, and the product obtained is the third state value, and the third state value is stored in the same row and column position in the third empty matrix of M rows and N columns; when the bitwise multiplication matrix operation is completed for each row and column position, the third state matrix is ​​generated.

[0077] Specifically, the third state value is determined by the product of the first state value and the second state value; when the first state value has three different values ​​and the second state value has three different values, the third state value has nine values; different values ​​of the third state value indicate different bed temperature and humidity states.

[0078] An example is given to illustrate the specific process of determining the temperature and humidity status of the bed in an embodiment of the present application.

[0079] Example 1: The area above a hospital bed is divided into 5 rows and 3 columns, with a total of 12 sub-areas. The first prime number is pre-configured to be 2, the second prime number is 3, the third prime number is 5; the fourth prime number is 7, the fifth prime number is 11, and the sixth prime number is 13. After steps S110 to S130, the first state matrix and the second state matrix are generated. The first state matrix is ; The second state matrix is ; After performing the bitwise multiplication matrix operation, the third state matrix is ​​obtained as .

[0080] In one embodiment, the first prime number is multiplied by the fourth prime number to obtain a third state value of 14, indicating that the sub-area: the current actual temperature is less than the first temperature end value; the current actual humidity is less than the first humidity end value; that is, the temperature and humidity state of the bed is: low temperature and low humidity state. For example, a sub-area not involved by the patient may be in a low temperature and low humidity state.

[0081] In one embodiment, the first prime number is multiplied by the fifth prime number to obtain a third state value of 22, indicating that the sub-area: the current actual temperature is less than the first temperature end value; the current actual humidity is not less than the first humidity end value, and not greater than the second humidity end value; that is, the temperature and humidity state of the bed is: low temperature and high humidity state. For example, the patient's back sweats and soaks the bed surface during sleep, but after changing the sleeping position, the temperature of this part drops, but the humidity is still high.

[0082] In one embodiment, the first prime number is multiplied by the sixth prime number to obtain a third state value of 26, indicating that for this sub-area: the current actual temperature is less than the first temperature end value; the current actual humidity is greater than the second humidity end value; that is, the temperature and humidity state of the bed is: low temperature reaching humidity state.

[0083] In one embodiment, the second prime number is multiplied by the fourth prime number to obtain a third state value of 21, indicating that in this sub-area: the current actual temperature is not less than the first temperature end value and not greater than the second temperature end value; the current actual humidity is less than the first humidity end value; that is, the temperature and humidity state of the bed is: reaching the temperature and low humidity state. This state may appear during the adjustment process.

[0084] In one embodiment, the second prime number is multiplied by the fifth prime number to obtain a third state value of 33, indicating that the sub-area: the current actual temperature is not less than the first temperature end value, and not greater than the second temperature end value; the current actual humidity is not less than the first humidity end value, and not greater than the second humidity end value; that is, the temperature and humidity state of the bed is: reaching the temperature and humidity state. This state may appear during the adjustment process.

[0085] In one embodiment, the second prime number is multiplied by the sixth prime number to obtain a third state value of 39, indicating that the sub-area: the current actual temperature is not less than the first temperature end value and not greater than the second temperature end value, and the current actual humidity is greater than the second humidity end value; that is, the temperature and humidity state of the bed is: reaching the temperature and exceeding the humidity state. This state may occur during the adjustment process.

[0086] In one embodiment, the third state value obtained by multiplying the third prime number by the fourth prime number is 35, indicating that the current actual temperature of the sub-area is greater than the second temperature end value, and the current actual humidity is less than the first humidity end value; that is, the temperature and humidity state of the bed is: over-temperature and low-humidity state. This state may occur during the adjustment process.

[0087] In one embodiment, the third prime number is multiplied by the fifth prime number to obtain a third state value of 55, indicating that for this sub-area: the current actual temperature is greater than the second temperature end value, the current actual humidity is not less than the first humidity end value, and not greater than the second humidity end value; that is, the temperature and humidity state of the bed is: over-temperature but not reaching the humidity state.

[0088] In one embodiment, the third state value obtained by multiplying the third prime number by the sixth prime number is 65, indicating that the sub-area: the current actual temperature is greater than the second temperature end value, and the current actual humidity is greater than the second humidity end value; that is, the temperature and humidity state of the bed is: over-temperature and over-humidity state. For example, when the patient has a high body temperature and sweats a lot, an over-temperature and over-humidity state will occur.

[0089] It can be understood that the state descriptions such as low temperature, reaching temperature, and over-temperature are only for the current target temperature range. Similarly, the state descriptions such as low humidity, reaching humidity, and over-humidity are only for the current target humidity range.

[0090] According to some embodiments of the present application, step S150 is further described, the third state value is determined by the product of the first state value and the second state value; the third state value has nine values; step S150: generate an adjustment mode selection signal for each sub-area according to each third state value, including but not limited to steps S151 to S155.

[0091] Step S151: sort the nine values ​​of the third state value in ascending order to obtain ascending order information.

[0092] Step S152: Determine the sorting number of each value of the third state value according to the ascending arrangement information.

[0093] Step S153: Determine the target modification position in the initial binary code according to the sorting number of a value, change the code value at the target modification position from 0 to 1, and obtain the adjustment mode selection signal corresponding to the value; wherein the initial binary code is all 0 and the data length is 9.

[0094] Step S154: generating a preset mapping table according to each value of the third state value and each corresponding adjustment mode selection signal.

[0095] Step S155: searching in a preset mapping table according to the third state value of each sub-region to determine the regulation mode selection signal of each sub-region.

[0096] Specifically, the initial binary code is 000000000. The preset mapping table is used to indicate the mapping relationship between the value of the third state value and the adjustment mode selection signal. The adjustment mode selection signal is used to determine a target candidate adjustment mode from nine candidate adjustment modes.

[0097] Combination Figure 4 , take an example to specifically explain steps S151 to S154. Example 2: When the first prime number is 2, the second prime number is 3, the third prime number is 5; the fourth prime number is 7, the fifth prime number is 11, and the sixth prime number is 13; Figure 4 As shown, the ascending order information of the nine values ​​of the third state value is: 14, 21, 22, 26, 33, 35, 39, 55, 65. The sorting number of the third state value 14 is the first, then the target modification position is determined in the initial binary code as: the first position from left to right; after modification, the adjustment mode selection signal corresponding to the value 14 is 100000000. The sorting number of the third state value 65 is the ninth, then the target modification position is determined in the initial binary code as: the ninth position from left to right; after modification, the adjustment mode selection signal corresponding to the value 65 is 000000001. In this way, the adjustment mode selection signal corresponding to each value can be determined to generate the following: Figure 4 The preset mapping table shown.

[0098] After obtaining the preset mapping table, the corresponding regulation mode selection signal can be quickly found according to the value of the third state value of each sub-region.

[0099] Through steps S151 to S155, the adjustment mode selection signal of each sub-area is quickly determined, providing a reliable indication for the subsequent temperature and humidity adjustment processing of each target adjustment area.

[0100] In some embodiments, before step S160, the temperature and humidity intelligent adjustment method provided in the embodiment of the present application further includes: determining the working mode of the temperature and humidity intelligent adjustment system, and the working mode is: automatic mode or manual mode. In order to enrich the application scenarios of the temperature and humidity intelligent adjustment system, an automatic mode or a manual mode is provided. Specifically, the activity state of the patient is detected; the activity state includes: sleeping state and awake state; when the patient is detected to be in a sleeping state, the automatic mode is entered; when the user is detected to be awake, the automatic mode or the manual mode is determined in response to the mode selection instruction input by the patient through the remote control.

[0101] The temperature and humidity intelligent adjustment system also includes a display module. In manual mode, the display module will display the temperature and humidity status of the bed in each sub-area, the corresponding adjustment mode selection signal, and prompt the target adjustment mode corresponding to each adjustment mode selection signal; the patient selects at least one target adjustment area from multiple candidate sub-areas by clicking on the screen or remote control, and after secondary confirmation, generates an adjustment instruction so that the controller responds to the adjustment instruction to execute step S160. In automatic mode, the adjustment instruction determines all sub-areas as target adjustment areas by default; in automatic mode, the controller will respond to the adjustment instruction and execute the corresponding target adjustment mode for all target adjustment areas.

[0102] According to some embodiments of the present application, step S160 is further described, wherein the target adjustment area is subjected to temperature and humidity adjustment processing according to the corresponding adjustment mode selection signal, including but not limited to steps S161 to S164.

[0103] Step S161: obtaining an initial adjustment mode state table of the corresponding target adjustment area; the initial adjustment mode state table includes a plurality of candidate adjustment modes, and the initial use state of each candidate adjustment mode is disabled.

[0104] Step S162: re-determine the use status of the candidate adjustment mode according to the adjustment mode selection signal of the target adjustment area, and obtain a new adjustment mode status table.

[0105] Step S163: Determine the candidate adjustment mode with the enabled status in the new adjustment mode status table as the target adjustment mode.

[0106] Step S164: controlling the adjustment module in the target adjustment area to operate in the target adjustment mode, and adjusting the temperature and humidity of the target adjustment area.

[0107] In step S161, the initial adjustment mode state tables of each sub-region are the same, except that the state table identifiers are different. Specifically, the state table identifier of the initial adjustment mode state table of the sub-region whose row and column position is (1, 1) is #1, and the state table identifier of the initial adjustment mode state table of the sub-region whose row and column position is (1, 2) is #2. By analogy, the state table identifier of the initial adjustment mode state table of each sub-region is unique.

[0108] According to some embodiments of the present application, step S162 is further described, wherein, according to the adjustment mode selection signal of the sub-region, the use state of the candidate adjustment mode is re-determined, including: in response to the first level signal of 0 in the adjustment mode selection signal, the use state of the candidate adjustment mode at the corresponding position is determined to be disabled; in response to the second level signal of 1 in the adjustment mode selection signal, the use state of the candidate adjustment mode at the corresponding position is changed from disabled to enabled. This is conducive to quickly determining the target adjustment mode from multiple candidate adjustment modes and improving processing efficiency.

[0109] Combination Figure 4 and Figure 5 , an example is given to illustrate the specific process of determining the target adjustment mode implemented by steps S161 to S164. Example 3: When the sub-region with the row and column position (1, 1) is the target adjustment region, there are nine candidate adjustment modes in the initial adjustment mode state table #1 of the target adjustment region, namely: candidate adjustment mode 1, candidate adjustment mode 2, candidate adjustment mode 3, candidate adjustment mode 4, candidate adjustment mode 5, candidate adjustment mode 6, candidate adjustment mode 7, candidate adjustment mode 8, candidate adjustment mode 9. Combined with Example 1 and Figure 4 , the third state value of the sub-region with the row and column position (1, 1) is 14, and the adjustment mode selection signal is 100000000. In the new adjustment mode state table determined based on 100000000, the use state of candidate adjustment mode 1 is enabled, and the use states of other candidate adjustment modes are disabled; candidate adjustment mode 1 is determined as the target adjustment mode.

[0110] Further explaining step S164, the adjustment module includes: a fan and an electric heating unit. The target adjustment mode is Figure 5 One of the candidate adjustment modes shown. Based on multiple embodiments of the bed temperature and humidity states corresponding to the nine third state values ​​mentioned in Example 1, the specific working process of each candidate adjustment mode is further explained.

[0111] In one embodiment, when the third state value is 14, it indicates that the bed temperature and humidity state of the sub-area is: low temperature and low humidity state. Candidate adjustment mode 1 is: turn on the electric heating unit, perform temperature compensation at the lowest heating power; turn off the fan; while performing temperature compensation, slow down the dehumidification effect and reduce the loss of humidity.

[0112] In one embodiment, when the third state value is 21, it indicates that the sub-area: the current actual temperature is not less than the first temperature end value and not greater than the second temperature end value; the current actual humidity is less than the first humidity end value; that is, the temperature and humidity state of the bed is: reaching the temperature and low humidity state. Candidate adjustment mode 2 is: turning off the electric heating unit and not performing temperature compensation; turning off the fan to slow down the dehumidification effect and reduce the loss of humidity and temperature.

[0113] In one embodiment, when the third state value is 22, it indicates that the sub-area: the current actual temperature is less than the first temperature end value; the current actual humidity is not less than the first humidity end value, and not greater than the second humidity end value; that is, the bed temperature and humidity state is: low temperature and over-humidity state. Candidate adjustment mode 3 is: turn on the electric heating unit, and perform temperature compensation at the highest heating power; turn on the fan and control the fan to run at the highest first wind speed; with the maximum air volume and heat production, use hot air to achieve rapid heating and dehumidification.

[0114] In one embodiment, when the third state value is 26, it indicates that the sub-area: the current actual temperature is less than the first temperature end value; the current actual humidity is greater than the second humidity end value; that is, the temperature and humidity state of the bed is: low temperature and humidity state. Candidate adjustment mode 4 is: turn on the electric heating unit, use the highest heating power, perform temperature compensation; turn off the fan. Prioritize the highest heating power to achieve rapid heating.

[0115] In one embodiment, when the third state value is 33, it indicates that the sub-area: the current actual temperature is not less than the first temperature end value, and not greater than the second temperature end value; the current actual humidity is not less than the first humidity end value, and not greater than the second humidity end value; that is, the temperature and humidity state of the bed is: reaching the temperature and humidity state. Candidate adjustment mode 5 is: controlling the fan and the electric heating unit to maintain working in the previous working state.

[0116] In one embodiment, when the third state value is 35, it indicates that the sub-area: the current actual temperature is greater than the second temperature end value, and the current actual humidity is less than the first humidity end value; that is, the temperature and humidity state of the bed is: over-temperature and low-humidity state. Candidate adjustment mode 6 is: turn off the electric heating unit, do not perform temperature compensation; control the fan to run at the lowest third wind speed. Use the minimum air volume to achieve the effect of cooling and slowing down dehumidification.

[0117] In one embodiment, when the third state value is 39, it indicates that the sub-area: the current actual temperature is not less than the first temperature end value and not greater than the second temperature end value, and the current actual humidity is greater than the second humidity end value; that is, the temperature and humidity state of the bed is: reaching the temperature and over-humidity state. Candidate adjustment mode 7 is: turn on the electric heating unit, use the lowest heating power, and perform temperature compensation; turn on the fan and control the fan to run at the highest first wind speed. This is because, while using the maximum air volume for rapid dehumidification, it will also cause temperature loss, and a certain temperature compensation is required.

[0118] In one embodiment, when the third state value is 55, it indicates that the sub-area: the current actual temperature is greater than the second temperature end value, the current actual humidity is not less than the first humidity end value, and not greater than the second humidity end value; that is, the temperature and humidity state of the bed is: over-temperature and over-humidity state. Candidate adjustment mode 8 is: turn off the electric heating unit, do not perform temperature compensation; turn on the fan, and control the fan to run at the second wind speed of the middle gear. Only use the middle wind volume second only to the maximum wind volume to achieve the effect of rapid cooling and slow dehumidification.

[0119] In one embodiment, when the third state value is 65, it indicates that the sub-area: the current actual temperature is greater than the second temperature end value, and the current actual humidity is greater than the second humidity end value; that is, the temperature and humidity state of the bed is: over-temperature and over-humidity state. Candidate adjustment mode 9 is: turn off the electric heating unit, do not perform temperature compensation; turn on the fan, and control the fan to run at the highest first wind speed. Only use the maximum air volume to achieve the effect of rapid cooling and dehumidification.

[0120] like Figure 6 As shown, the present invention also provides an electronic device, including:

[0121] The processor 601 may be implemented by a general-purpose central processing unit, a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0122] The memory 602 may be implemented in the form of a read-only memory, a static storage device, a dynamic storage device, or a random access memory. The memory 602 may store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 602, and the processor 601 calls and executes the temperature and humidity intelligent adjustment method of the embodiment of this application;

[0123] Input / output interface 603, used to implement information input and output;

[0124] Communication interface 604, used to realize communication interaction between the present apparatus and other devices, which can be realized by wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.);

[0125] A bus 605 that transmits information between various components of the device (e.g., processor 601, memory 602, input / output interface 603, and communication interface 604);

[0126] The processor 601 , the memory 602 , the input / output interface 603 and the communication interface 604 are connected to each other in communication within the device via a bus 605 .

[0127] An 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-mentioned intelligent temperature and humidity adjustment method is implemented.

[0128] As a non-transient computer-readable storage medium, the memory can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage devices. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and are implemented to be located in one place, or may also be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0129] It will be appreciated by those skilled in the art that all or some of the steps and systems in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium). As known to those skilled 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 include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0130] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions without violating the spirit of the present application. These equivalent deformations or substitutions are all included in the scope defined by the present application.

Claims

1. A method for intelligently adjusting temperature and humidity, characterized in that: include: Determine a target temperature range and a target humidity range based on the acquired patient condition information; Within a preset adjustment cycle, obtaining the current actual temperature and the current actual humidity of each sub-area in the divided bed area; Based on the row and column information of the sub-areas, the temperature comparison results of each of the current actual temperatures and the target temperature range are recorded as a first state matrix, and the humidity comparison results of each of the current actual humidity and the target humidity range are recorded as a second state matrix; Performing a matrix operation of bitwise multiplication on the first state matrix and the second state matrix to obtain a third state matrix; third state values ​​of different values ​​in the third state matrix are used to indicate different bed temperature and humidity states of corresponding sub-areas; generating a regulation mode gating signal for each sub-region according to each of the third state values; In response to the adjustment instruction, a target adjustment area is determined from the sub-areas, and temperature and humidity adjustment processing is performed on the target adjustment area according to the corresponding adjustment mode selection signal to adjust the current actual temperature to within the target temperature range and the current actual humidity to within the target humidity range; The row and column information based on the sub-areas includes: the number of rows and columns obtained after the area on the bed is divided; the row and column positions of each sub-area; the first state values ​​with different values ​​in the first state matrix are used to indicate different temperature comparison results; the second state values ​​with different values ​​in the second state matrix are used to indicate different humidity comparison results; Based on the row and column information of the sub-areas, the temperature comparison results of each current actual temperature and the target temperature range are recorded as a first state matrix, and the humidity comparison results of each current actual humidity and the target humidity range are recorded as a second state matrix, including: when the number of rows is M and the number of columns is N, a first to-be-processed matrix and a second to-be-processed matrix with a specification size of M*N are generated; for each sub-area, a humidity comparison process based on the current actual humidity and the target humidity range is performed, and the value of the first state value of each sub-area is determined according to the temperature comparison results of each sub-area obtained; at the same time, a humidity comparison process based on the current actual humidity and the target humidity range is performed, and the value of the second state value of each sub-area is determined according to the humidity comparison results of each sub-area obtained; according to the row and column positions of each sub-area, each first state value is correspondingly written into the first to-be-processed matrix to obtain the first state matrix; the second state value is written into the second to-be-processed matrix to obtain the second state matrix; The third state value is determined by the product of the first state value and the second state value; the third state value has nine values; the generation of the adjustment mode selection signal of each sub-area according to each of the third state values ​​includes: sorting the nine values ​​of the third state value in ascending order to obtain ascending order information; determining the sorting number of each value of the third state value according to the ascending order information; determining the target modification position in the initial binary code according to the sorting number of a value, and modifying the code value at the target modification position from 0 to 1 to obtain the adjustment mode selection signal corresponding to the value; wherein the initial binary code is all 0s and the data length is 9; generating a preset mapping table according to each value of the third state value and the corresponding each adjustment mode selection signal; querying the preset mapping table according to the value of the third state value of each sub-area to determine the adjustment mode selection signal of each sub-area.

2. The intelligent temperature and humidity adjustment method according to claim 1, characterized in that: The target temperature range includes: a first temperature end value and a second temperature end value greater than the first temperature end value; Determining the value of the first state value of each sub-region according to the obtained temperature comparison result of each sub-region includes: When the temperature comparison result is: the current actual temperature is less than the first temperature end value, determining that the value of the first state value is a first prime number; When the temperature comparison result is: the current actual temperature is not less than the first temperature end value and not greater than the second temperature end value, determining that the value of the first state value is a second prime number; the second prime number is greater than the first prime number; When the temperature comparison result is: the current actual temperature is greater than the second temperature end value, the value of the first state value is determined to be a third prime number; the third prime number is greater than the second prime number; wherein the first prime number, the second prime number and the third prime number are different from each other.

3. The intelligent temperature and humidity adjustment method according to claim 1, characterized in that: The target humidity range includes: a first humidity end value, and a second humidity end value greater than the first humidity end value; Determining the value of the second state value of each sub-area according to the obtained humidity comparison result of each sub-area includes: When the humidity comparison result is: the current actual humidity is less than the first humidity end value, determining that the value of the second state value is a fourth prime number; When the humidity comparison result is: the current actual humidity is not less than the first humidity end value and not greater than the second humidity end value, determining that the value of the second state value is a fifth prime number; the fifth prime number is greater than the fourth prime number; When the humidity comparison result is: the current actual humidity is greater than the second humidity end value, the value of the second state value is determined to be a sixth prime number; the sixth prime number is greater than the fifth prime number; wherein the fourth prime number, the fifth prime number and the sixth prime number are different from each other.

4. The intelligent temperature and humidity adjustment method according to claim 1, characterized in that: The step of performing temperature and humidity adjustment processing on the target adjustment area according to the corresponding adjustment mode selection signal includes: Acquire an initial adjustment mode state table of the corresponding target adjustment area; the initial adjustment mode state table includes a plurality of candidate adjustment modes, and the initial use state of each candidate adjustment mode is disabled; re-determining the use state of the candidate adjustment mode according to the adjustment mode selection signal of the target adjustment area, and obtaining a new adjustment mode state table; Determine the candidate adjustment mode in the new adjustment mode state table whose usage state is enabled as the target adjustment mode; The regulating module in the target regulating area is controlled to operate in the target regulating mode to regulate the temperature and humidity of the target regulating area.

5. The intelligent temperature and humidity adjustment method according to claim 4, characterized in that: The re-determining the use state of the candidate adjustment mode according to the adjustment mode selection signal of the sub-region includes: In response to a first level signal of 0 in the adjustment mode selection signal, determining the use state of the candidate adjustment mode at the corresponding position as disabled; In response to a second level signal of 1 in the adjustment mode selection signal, the use state of the candidate adjustment mode at the corresponding position is modified from disabled to enabled.

6. The intelligent temperature and humidity adjustment method according to claim 1, characterized in that: The method further comprises: In response to the update of the patient condition information of the current bed, re-determine a new target temperature range and a new target humidity range according to the updated patient condition information; Based on the new target temperature range and the new target humidity range, the temperature and humidity in the area above the bed are periodically adjusted intelligently.

7. An electronic device, characterized in that: It includes at least one processor and a memory for communicating with the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent temperature and humidity adjustment method as described in any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the temperature and humidity intelligent adjustment method according to any one of claims 1 to 6.

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