A sleep environment temperature management method and system based on skin electricity

Abstract

The present invention provides a sleep environment temperature management method and system based on skin electricity, which belongs to the field of temperature control technology. Specifically, it includes: determining the temperature change abnormal device of the internal monitoring device according to the change of the monitoring data of the internal monitoring device; when it is determined that the first temperature adjustment strategy is not needed for temperature adjustment processing based on the distribution data of the temperature change abnormal device and the change of the monitoring data, the sleep stage result of the monitoring target is obtained, and the temperature adjustment strategy of the sleeping environment of the monitoring target is determined in combination with the monitoring data of different internal monitoring devices, thereby reducing interference with the sleep of the monitoring target.

Description

Technical Field

[0001] The present invention belongs to the technical field of temperature control, and in particular relates to a method and system for managing sleeping environment temperature based on skin conduction. Background Art

[0002] The appropriate ambient temperature during human sleep has a great impact on the quality of human sleep. At present, when regulating the ambient temperature during human sleep, the automatic temperature adjustment function of the temperature control equipment is often used for regulation, which makes it difficult to meet the accuracy of temperature regulation.

[0003] To solve the above-mentioned problem, the existing technical solution provides a technical solution for regulating the ambient temperature based on the skin electrical detection signal. The skin electrical detection signal will change with the change of skin temperature, thereby realizing targeted adjustment of the sleeping environment.

[0004] However, when adjusting the ambient temperature, the existing technical solutions ignore the generation of differentiated temperature adjustment strategies based on the human body's sleep stages. Specifically, when the human body is in a light sleep stage, drastic changes in ambient temperature may interrupt the normal sleep process, making it difficult to meet the sleep quality requirements.

[0005] In response to the above technical problems, the present application specifically provides a method and system for managing sleeping environment temperature based on skin electricity. Summary of the Invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] A method for managing sleeping environment temperature based on skin electrical activity, specifically comprising:

[0008] S1 divides the skin electrical monitoring device into an external monitoring device and an internal monitoring device according to changes in monitoring data of the skin electrical monitoring device at different locations;

[0009] S2 uses the monitoring data of the external monitoring device and the changes in the monitoring data to determine that the skin temperature data corresponding to the external monitoring device meets the requirements, and then determines that the temperature change of the internal monitoring device is abnormal according to the changes in the monitoring data of the internal monitoring device;

[0010] S3: If it is determined that the first temperature adjustment strategy is not necessary for temperature adjustment based on the distribution data of the abnormal temperature change device and the change of the monitoring data, then the process proceeds to the next step;

[0011] S4 obtains the sleep staging result of the monitoring target, and determines the temperature adjustment strategy of the sleeping environment of the monitoring target in combination with the monitoring data of different internal monitoring devices.

[0012] The beneficial effects of the present invention are:

[0013] The monitoring data of the external monitoring device and the changes in the monitoring data are used to determine whether the skin temperature data corresponding to the external monitoring device meets the requirements, thereby fully considering the temperature of the body parts exposed outside the insulation measures during sleep, avoiding temperature adjustment due to low temperature or rapid cooling of the body parts outside the insulation measures, and ensuring the sleep quality of the monitored target.

[0014] The temperature adjustment strategy of the monitoring target's sleeping environment is determined based on the sleep staging results of the monitoring target and the monitoring data of different internal monitoring devices. This not only takes into account the use of differentiated temperature adjustment strategies in different sleep stages to ensure the sleep quality of the monitoring target, but also takes into account the temperature conditions of the monitoring devices inside the thermal insulation measures, thereby realizing differentiated temperature adjustment of the sleeping environment based on the two dimensions of sleep stage and temperature conditions, thereby reducing the impact of sleep adjustment on the user's sleep quality.

[0015] A further technical solution is that the monitoring data includes monitoring data at different times within a recent preset time period.

[0016] A further technical solution is that the change of the monitoring data includes the change amount of the monitoring data in the most recent preset time period.

[0017] A further technical solution is to divide the skin conduction monitoring device into an external monitoring device and an internal monitoring device, specifically including:

[0018] Determining the amount of change in monitoring data of different galvanic skin monitoring devices within a recent preset time period based on the change in monitoring data of the galvanic skin monitoring device;

[0019] Dividing the skin electrical monitoring device into different variation intervals according to the variation of the monitoring data;

[0020] Based on the types of monitoring devices corresponding to different variation intervals, the electrodermal monitoring devices are divided into external monitoring devices and internal monitoring devices.

[0021] A further technical solution is that when the type of monitoring device corresponding to the variation interval in which the skin charge monitoring device is located is an external monitoring device, the skin charge monitoring device is determined to be an external monitoring device.

[0022] A further technical solution is to determine a sleep environment adjustment strategy for the monitored target based on the sum of preset weight values ​​of different over-limit monitoring devices and the sleep stage result of the monitored target, specifically including:

[0023] When the sum of the preset weight values ​​is less than the preset weight value threshold, it is temporarily unnecessary to adjust the sleeping environment of the monitored target;

[0024] When the sum of the preset weight values ​​is not less than the preset weight value threshold, the sleep stage corresponding to the monitoring target is determined based on the sleep staging result of the monitoring target, and the adjustment strategy of the sleep environment of the monitoring target is determined based on the sleep stage and the sum of the preset weight values.

[0025] A further technical solution is to determine an adjustment strategy for the sleep environment of the monitoring target based on the sum of the sleep stage and the preset weight value, specifically including:

[0026] Based on the sleep stage, determining a weight value threshold corresponding to the sleep stage, and when the sum of the preset weight values ​​is greater than the weight value threshold, adopting a second adjustment strategy to adjust the sleep environment of the monitored target;

[0027] When the sum of the preset weight values ​​is not greater than the weight value threshold, the sleeping environment of the monitored target is temporarily not adjusted.

[0028] In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method of managing sleeping environment temperature based on skin electricity when running the computer program.

[0029] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0030] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings;

[0032] Figure 1 It is a flow chart of a method for managing sleeping environment temperature based on skin conduction;

[0033] Figure 2 It is a flow chart that divides the skin electrode monitoring device into an external monitoring device and an internal monitoring device;

[0034] Figure 3 is a flow chart for determining that skin temperature data corresponding to an external monitoring device meets requirements;

[0035] Figure 4 is a flow chart of a method for determining an abnormal temperature variation device of an internal monitoring device;

[0036] Figure 5 Flowchart of a method for determining a temperature regulation strategy for a sleeping environment of a monitored target. DETAILED DESCRIPTION

[0037] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0038] In the present application, the differences in the sleep stages of the monitored targets are utilized to generate differentiated temperature adjustment strategies, thereby avoiding the impact on the sleep of the monitored targets during the temperature adjustment process.

[0039] The external monitoring device is a monitoring device outside the insulation measures, such as a monitoring device outside the quilt or clothes. Specifically, the monitoring device with a faster change curve of the monitoring data is used as the external monitoring device, and the monitoring device with a slower change curve is used as the internal monitoring device.

[0040] Specifically, the monitoring devices are divided into two groups according to the similarity of the variation curves of the monitoring data, and the external monitoring device and the internal monitoring device are determined based on the variation curves of the monitoring data of the monitoring devices in different groups.

[0041] When the temperature corresponding to the monitoring data of the external monitoring device is not less than 22 degrees, and the temperature drop rate in the last 10 minutes is not more than 0.3 degrees Celsius per minute, it means that the temperature of the external monitoring device is relatively appropriate and the temperature can be adjusted.

[0042] The temperature change abnormality device is an internal monitoring device for the sweating body part. Specifically, the internal monitoring device at the moment when the temperature change amount is greater than the preset change amount is used as the temperature change abnormality device.

[0043] When there are more than five devices with abnormal temperature changes, it means that multiple parts of the body are sweating, and it is necessary to use an accelerated adjustment rate to adjust the temperature.

[0044] According to the preset temperature threshold corresponding to the sleep stage, the number of internal monitoring devices whose monitoring data is greater than the preset temperature threshold in the current sleep stage is determined. When the number of internal monitoring devices whose monitoring data is greater than the preset temperature threshold is greater than 5, the temperature adjustment process is performed.

[0045] Example 1

[0046] like Figure 1 As shown, the present application provides a method for managing sleeping environment temperature based on skin electricity, which specifically includes:

[0047] S1 divides the skin electrical monitoring device into an external monitoring device and an internal monitoring device according to changes in monitoring data of the skin electrical monitoring device at different locations;

[0048] S2 uses the monitoring data of the external monitoring device and the changes in the monitoring data to determine that the skin temperature data corresponding to the external monitoring device meets the requirements, and then determines that the temperature change of the internal monitoring device is abnormal according to the changes in the monitoring data of the internal monitoring device;

[0049] S3: If it is determined that the first temperature adjustment strategy is not necessary for temperature adjustment based on the distribution data of the abnormal temperature change device and the change of the monitoring data, then the process proceeds to the next step;

[0050] S4 obtains the sleep staging result of the monitoring target, and determines the temperature adjustment strategy of the sleeping environment of the monitoring target in combination with the monitoring data of different internal monitoring devices.

[0051] Furthermore, the monitoring data includes monitoring data at different times within a recent preset time period.

[0052] Specifically, the change in the monitoring data includes the change amount of the monitoring data in the most recent preset time period.

[0053] It should be noted that if Figure 2 As shown, the skin conduction monitoring device is divided into an external monitoring device and an internal monitoring device, specifically including:

[0054] Determining the amount of change in monitoring data of different galvanic skin monitoring devices within a recent preset time period based on the change in monitoring data of the galvanic skin monitoring device;

[0055] Dividing the skin electrical monitoring device into different variation intervals according to the variation of the monitoring data;

[0056] Based on the types of monitoring devices corresponding to different variation intervals, the electrodermal monitoring devices are divided into external monitoring devices and internal monitoring devices.

[0057] It should be noted that, when the type of monitoring device corresponding to the variation interval in which the electrodermal monitoring device is located is an external monitoring device, the electrodermal monitoring device is determined to be an external monitoring device.

[0058] It is understandable that if Figure 3 As shown, determining that the skin temperature data corresponding to the external monitoring device meets the requirements specifically includes:

[0059] According to the monitoring data of different external monitoring devices, the external monitoring device whose temperature data corresponding to the monitoring data is less than the preset temperature data threshold is determined and used as the interval monitoring device;

[0060] Determine the external monitoring device with a lower temperature based on changes in monitoring data from different external monitoring devices;

[0061] Based on the proportion of the number of external monitoring devices with lower temperatures and the proportion of the number of interval monitoring devices, it is determined whether the skin temperature data corresponding to the external monitoring device meets the requirements.

[0062] Further, determining whether the skin temperature data corresponding to the external monitoring device meets the requirements specifically includes:

[0063] When either the percentage of the number of external monitoring devices with lower temperatures or the percentage of the number of interval monitoring devices is not within the preset percentage interval, it is determined that the skin temperature data corresponding to the external monitoring device does not meet the requirements.

[0064] It should be noted that, when the skin temperature data corresponding to the external monitoring device does not meet the requirements, it is determined that the temperature adjustment of the sleeping environment of the monitored target is not required.

[0065] In another possible embodiment, determining that the skin temperature data corresponding to the external monitoring device meets the requirements specifically includes:

[0066] According to the monitoring data of different external monitoring devices, the external monitoring device whose temperature data corresponding to the monitoring data is less than the preset temperature data threshold is determined and used as the interval monitoring device;

[0067] Determine the external monitoring device with a lower temperature based on changes in monitoring data from different external monitoring devices;

[0068] A temperature monitoring abnormality value is determined based on the product of the proportion of the number of external monitoring devices with lower temperatures and the proportion of the number of interval monitoring devices, and the temperature monitoring abnormality value is used to determine whether the skin temperature data corresponding to the external monitoring device meets the requirements.

[0069] Furthermore, when the temperature monitoring abnormal value is greater than a preset abnormal value threshold, it is determined that the skin temperature data corresponding to the external monitoring device does not meet the requirements.

[0070] Further, such as Figure 4 As shown, the method for determining the temperature change abnormality device of the internal monitoring device is:

[0071] Based on the change of the monitoring data of the internal monitoring device, determining the time when the change amount of the monitoring data of the internal monitoring device is greater than a preset change amount, and taking it as the abnormal change time;

[0072] determining the amount of change in the monitoring data at different times after the abnormal change moment according to the change in the monitoring data after the abnormal change moment, and determining the abnormal temperature change period of the internal monitoring device according to the amount of change;

[0073] Whether the internal monitoring device is a device with abnormal temperature variation is determined based on the duration of the temperature variation period.

[0074] Specifically, when the duration of the temperature variation period is greater than a preset duration threshold, the internal monitoring device is determined to be a device with abnormal temperature variation.

[0075] It should be noted that the abnormal temperature change period is a period in which the proportion of moments when the temperature change amount does not meet the requirements is greater than the proportion of preset moments.

[0076] In another possible embodiment, the method for determining the temperature variation abnormality of the internal monitoring device is:

[0077] S21 determines the moment when the change in the monitoring data of the internal monitoring device exceeds a preset change amount based on the change in the monitoring data of the internal monitoring device, and takes it as the moment of abnormal change;

[0078] It should be noted that in the above steps, if the internal monitoring device does not have a moment when the change in monitoring data is greater than the preset change, that is, there is no abnormal change moment, then it is determined that the internal monitoring device does not belong to an abnormal temperature change device. When there is an abnormal change moment, proceed to the next step.

[0079] S22 determines the amount of change in the monitoring data at different moments after the abnormal change moment based on the change in the monitoring data after the abnormal change moment, takes the moment when the amount of change in the monitoring data does not meet the requirement as the temperature change moment, takes the period after the abnormal change moment as the screening change period, and determines the monitoring data change value based on the proportion of the temperature change moments after the screening change period and the amount of change in the monitoring data at different temperature change moments;

[0080] It can be understood that in the above steps, it is necessary to further determine whether the changes in the monitoring data at different times after the abnormal change moment are all small, that is, when they all meet the requirements, it is determined that the internal monitoring device does not belong to the temperature change abnormal device. When there is a moment after the abnormal change moment when the change in the monitoring data does not meet the requirements, it is determined that the time period after the abnormal change moment is less than the preset screening time threshold, then it is determined that the internal monitoring device does not belong to the temperature change abnormal device.

[0081] In addition, it needs to be further explained that if the time period after the abnormal change moment is not less than the preset screening time threshold, the change amount of the monitoring data does not meet the requirements, that is, the moment with a larger change amount is taken as the temperature change moment. If the number of temperature change moments after the abnormal change moment accounts for more than the preset change moment number proportion, it is determined that the internal monitoring device belongs to a temperature change abnormal device. If and only if the number of temperature change moments after the abnormal change moment accounts for no more than the preset change moment number proportion, it is determined that the monitoring data change value does not meet the requirements, then it is determined that the internal monitoring device belongs to a temperature change abnormal device. Only when the monitoring data change value meets the requirements, proceed to the next step. It should be noted that whether the requirements are met can be determined by means of a threshold.

[0082] It is understandable that the monitoring data change value can be determined based on the product of the proportion of the number of temperature change moments after the filter change period and the average value of the change rate of the monitoring data at different temperature change moments.

[0083] S23 obtains the duration of the screening change period, and determines the temperature change abnormality value in combination with the monitoring data change value of the screening change period, and uses the temperature change abnormality value to determine whether the internal monitoring device is a temperature change abnormality device.

[0084] In another embodiment, the temperature change abnormality value can be determined based on the product of a preset weight coefficient corresponding to the duration of the screening change period and the monitoring data change value of the screening change period, wherein when the temperature change abnormality value is greater than a preset threshold value, the internal monitoring device is determined to be a temperature change abnormality device.

[0085] Furthermore, the abnormal temperature change device is an internal monitoring device for sweating in the skin area corresponding to the internal monitoring device.

[0086] Specifically, when the temperature change abnormality value is greater than a preset change value threshold, it is determined that the internal monitoring device is a temperature change abnormality device.

[0087] It should be noted that determining that the first temperature adjustment strategy is not required for temperature adjustment specifically includes:

[0088] determining the number of the abnormal temperature change devices based on the distribution data of the abnormal temperature change devices;

[0089] Determine the amount of change in the monitoring data between different adjacent moments according to the change in the monitoring data of different temperature change abnormal devices, and determine the temperature change weight values ​​of different temperature change abnormal devices according to the average value of the amount of change in the monitoring data between different adjacent moments;

[0090] A variation weight value sum is determined by summing the temperature variation weight values ​​of different temperature variation abnormal devices, and whether a first temperature adjustment strategy needs to be adopted to perform temperature adjustment processing is determined based on the variation weight value sum.

[0091] Furthermore, the temperature change weight value is determined according to a preset weight value corresponding to an average value of the change amount of the monitoring data between different adjacent moments.

[0092] Optionally, when the sum of the change weight values ​​is greater than a preset value threshold, it is determined that the first adjustment strategy needs to be adopted to perform temperature adjustment processing.

[0093] It should be noted that the first adjustment strategy is to use a preset temperature value and a preset adjustment rate to perform temperature adjustment processing on the sleeping environment.

[0094] It is understandable that if Figure 5 As shown, the method for determining the temperature adjustment strategy of the sleeping environment of the monitoring target is:

[0095] Based on the monitoring data of different internal monitoring devices, determine the temperature corresponding to the monitoring data of different internal monitoring devices at different times, and use it as the monitoring temperature;

[0096] Based on the monitored temperatures of different internal monitoring devices at different times, determine the internal monitoring devices whose average monitored temperatures are greater than a preset monitoring temperature threshold, and use them as over-limit monitoring devices, and use the body positions corresponding to the over-limit monitoring devices to determine preset weight values ​​for the different over-limit monitoring devices;

[0097] Based on the sum of the preset weight values ​​of different limit exceeding monitoring devices and the sleep staging result of the monitoring target, an adjustment strategy for the sleep environment of the monitoring target is determined.

[0098] It should be noted that due to the difference in sweating probability in different body parts, the reliability of the over-limit monitoring device also varies. Therefore, the preset weight value can be determined based on the preset correspondence between the body part and the weight value.

[0099] Furthermore, based on the sum of the preset weight values ​​of the different over-limit monitoring devices and the sleep stage result of the monitoring target, an adjustment strategy for the sleep environment of the monitoring target is determined, specifically including:

[0100] When the sum of the preset weight values ​​is less than the preset weight value threshold, it is temporarily unnecessary to adjust the sleeping environment of the monitored target;

[0101] When the sum of the preset weight values ​​is not less than the preset weight value threshold, the sleep stage corresponding to the monitoring target is determined based on the sleep staging result of the monitoring target, and the adjustment strategy of the sleep environment of the monitoring target is determined based on the sleep stage and the sum of the preset weight values.

[0102] In another embodiment, determining an adjustment strategy for the sleep environment of the monitoring target based on the sum of the sleep stage and the preset weight value specifically includes:

[0103] Based on the sleep stage, determining a weight value threshold corresponding to the sleep stage, and when the sum of the preset weight values ​​is greater than the weight value threshold, adopting a second adjustment strategy to adjust the sleep environment of the monitored target;

[0104] When the sum of the preset weight values ​​is not greater than the weight value threshold, the sleeping environment of the monitored target is temporarily not adjusted.

[0105] It should be noted that the second adjustment strategy is to use a preset temperature value and a second preset adjustment rate to perform temperature adjustment processing on the sleeping environment, wherein the second preset adjustment rate is smaller than the preset adjustment rate.

[0106] Optionally, the method for determining the temperature adjustment strategy of the sleeping environment of the monitored target is:

[0107] S41 determines the temperature corresponding to the monitoring data of the different internal monitoring devices at different times based on the monitoring data of the different internal monitoring devices, and uses the temperature as the monitoring temperature;

[0108] It should be noted that in the above steps, if there is no moment when the monitoring temperature of different internal monitoring devices is greater than the preset monitoring temperature threshold, it is determined that there is no need to adjust the temperature of the sleeping environment of the monitoring target temporarily. If there is only an internal monitoring device at a moment when the monitoring temperature is greater than the preset monitoring temperature threshold, it is necessary to further determine that there is no internal monitoring device with an average monitoring temperature greater than the preset monitoring temperature threshold, that is, if there is no over-limit monitoring device, it is determined that there is no need to adjust the temperature of the sleeping environment of the monitoring target temporarily. When there is an over-limit monitoring device, it is necessary to further proceed to the next step to evaluate the over-limit monitoring device.

[0109] S42: internal monitoring devices whose average monitored temperature is greater than a preset monitoring temperature threshold are regarded as over-limit monitoring devices, and preset weight values ​​of different over-limit monitoring devices are determined based on the body positions corresponding to the over-limit monitoring devices;

[0110] It can be understood that before entering the next step, if the number of the over-limit monitoring devices is too large, that is, it does not meet the requirements or is greater than the threshold, the second adjustment strategy is adopted to adjust the sleeping environment of the monitoring target. If the number of the over-limit monitoring devices meets the requirements, the body positions corresponding to the over-limit monitoring devices are used to determine the preset weight values ​​of different over-limit monitoring devices, wherein the preset weight values ​​are determined according to the one-to-one correspondence between the weight values ​​and the body positions.

[0111] In this case, if the sum of the preset weight values ​​of different over-limit monitoring devices does not meet the requirements, the second adjustment strategy is adopted to adjust the sleeping environment of the monitoring target. Only when the sum of the preset weight values ​​of different over-limit monitoring devices meets the requirements, the over-limit abnormal value is determined, and whether the requirements are met is determined by setting a threshold.

[0112] S43 determines, based on the monitored temperatures of the different over-limit monitoring devices at different times, a time when the monitored temperature is greater than a preset monitoring temperature threshold, and uses the time when the monitored temperature is greater than a preset monitoring temperature threshold as the over-limit time, and determines, based on the product of the number of over-limit times of the different over-limit monitoring devices and a preset weight value, over-limit abnormal values ​​of the different over-limit monitoring devices;

[0113] It should be noted that when there is an over-limit monitoring device whose over-limit abnormal value does not meet the requirements, that is, the over-limit abnormal value is greater than 0.5, the second adjustment strategy is adopted to adjust the sleeping environment of the monitoring target. Only when there is no over-limit monitoring device whose over-limit abnormal value does not meet the requirements, proceed to the next step.

[0114] S44 determines an adjustment strategy for the sleep environment of the monitoring target based on the sum of the over-limit abnormal values ​​of different over-limit monitoring devices and the sleep staging result of the monitoring target.

[0115] Example 2

[0116] In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method of managing sleeping environment temperature based on skin electricity when running the computer program.

[0117] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0118] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0119] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A method for managing sleeping environment temperature based on skin electricity, characterized in that: Specifically include: According to the changes in monitoring data of skin electrical monitoring devices at different positions, the skin electrical monitoring devices are divided into external monitoring devices and internal monitoring devices; When it is determined that the skin temperature data corresponding to the external monitoring device meets the requirements by using the monitoring data of the external monitoring device and the changes in the monitoring data, the temperature change of the internal monitoring device is determined to be abnormal according to the changes in the monitoring data of the internal monitoring device; When it is determined based on the distribution data of the abnormal temperature variation device and the variation of the monitoring data that the first temperature adjustment strategy is not required for temperature adjustment processing, proceeding to the next step; The sleep staging result of the monitoring target is obtained, and the temperature adjustment strategy of the sleeping environment of the monitoring target is determined in combination with the monitoring data of different internal monitoring devices.

2. The method for managing sleeping environment temperature based on skin conduction according to claim 1, wherein: The monitoring data includes monitoring data at different times within a recent preset time period.

3. The method for managing sleeping environment temperature based on skin conduction according to claim 1, wherein: The change of the monitoring data includes the change amount of the monitoring data in the latest preset time period.

4. The method for managing sleeping environment temperature based on skin conduction according to claim 1, wherein: The skin conduction monitoring device is divided into an external monitoring device and an internal monitoring device, specifically including: Determining the amount of change in monitoring data of different galvanic skin monitoring devices within a recent preset time period based on the change in monitoring data of the galvanic skin monitoring device; Dividing the skin electrical monitoring device into different variation intervals according to the variation of the monitoring data; Based on the types of monitoring devices corresponding to different variation intervals, the electrodermal monitoring devices are divided into external monitoring devices and internal monitoring devices.

5. The method for managing sleeping environment temperature based on skin conduction according to claim 4, wherein: When the type of monitoring device corresponding to the variation interval in which the electrodermal monitoring device is located is an external monitoring device, it is determined that the electrodermal monitoring device is an external monitoring device.

6. The method for managing sleeping environment temperature based on skin conduction according to claim 1, wherein: Determining that the skin temperature data corresponding to the external monitoring device meets the requirements specifically includes: According to the monitoring data of different external monitoring devices, the external monitoring device whose temperature data corresponding to the monitoring data is less than the preset temperature data threshold is determined and used as the interval monitoring device; Determine the external monitoring device with a lower temperature based on changes in monitoring data from different external monitoring devices; Based on the proportion of the number of external monitoring devices with lower temperatures and the proportion of the number of interval monitoring devices, it is determined whether the skin temperature data corresponding to the external monitoring device meets the requirements.

7. The method for managing sleeping environment temperature based on skin conduction according to claim 1, wherein: When the skin temperature data corresponding to the external monitoring device does not meet the requirement, it is determined that the temperature adjustment of the sleeping environment of the monitoring target is not required.

8. The method for managing sleeping environment temperature based on skin conduction according to claim 1, wherein: The method for determining the temperature adjustment strategy of the sleeping environment of the monitoring target is: Based on the monitoring data of different internal monitoring devices, determine the temperature corresponding to the monitoring data of different internal monitoring devices at different times, and use it as the monitoring temperature; Based on the monitored temperatures of different internal monitoring devices at different times, determine the internal monitoring devices whose average monitored temperatures are greater than a preset monitoring temperature threshold, and use them as over-limit monitoring devices, and use the body positions corresponding to the over-limit monitoring devices to determine preset weight values ​​for the different over-limit monitoring devices; Based on the sum of the preset weight values ​​of different limit exceeding monitoring devices and the sleep staging result of the monitoring target, an adjustment strategy for the sleep environment of the monitoring target is determined.

9. The method for managing sleeping environment temperature based on skin conduction according to claim 8, wherein: Determining a sleep environment adjustment strategy for the monitoring target based on the sum of preset weight values ​​of different over-limit monitoring devices and the sleep stage result of the monitoring target, specifically including: When the sum of the preset weight values ​​is less than the preset weight value threshold, it is temporarily unnecessary to adjust the sleeping environment of the monitored target; When the sum of the preset weight values ​​is not less than the preset weight value threshold, the sleep stage corresponding to the monitoring target is determined based on the sleep staging result of the monitoring target, and the adjustment strategy of the sleep environment of the monitoring target is determined based on the sleep stage and the sum of the preset weight values.

10. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, a method for managing sleeping environment temperature based on skin electricity according to any one of claims 1 to 9 is executed.

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