Temperature control method and system for intelligent switch panel and storage medium thereof

Abstract

The invention relates to the field of intelligent switches, in particular to a temperature control method and system for an intelligent switch panel and a storage medium, and the method comprises the steps: obtaining indoor temperature data through real-time detection; determining a target heat difference value according to the indoor temperature data, preset set temperature data and preset indoor space data; determining heat speed data according to the target heat difference value and a preset user health state; and air conditioner temperature data and air conditioner air speed data are determined and output according to the heat speed data and the user health state. The method has the effect of improving the air conditioner cooling experience of a user.

Description

Technical Field

[0001] The present application relates to the field of intelligent switches, and in particular to a temperature control method and system for an intelligent switch panel and a storage medium thereof. Background Art

[0002] With the popularity of smart homes and central air-conditioning, the problem of remotely controlling the central air-conditioning to start up in advance or controlling the central air-conditioning with a mobile phone has become commonplace. However, the air-conditioning usually outputs the lowest temperature until the detected temperature reaches the set temperature. For example, if the indoor temperature is 30° and the setting is 26°, the air-conditioning will directly output 18° cold air until the indoor temperature reaches 26 degrees and then switches to internal circulation. However, such rapid cooling may make users feel uncomfortable, and even weak users may be affected in their physical condition. Summary of the invention

[0003] In order to improve the problem of users feeling uncomfortable due to excessively rapid cooling, the present application provides a temperature control method, system and storage medium for an intelligent switch panel.

[0004] The present application provides a temperature control method for an intelligent switch panel, which adopts the following technical solution: A temperature control method for an intelligent switch panel, comprising: Real-time detection to obtain indoor temperature data; The target heat difference is determined by the indoor temperature data, the preset set temperature data and the preset indoor space data; the heat velocity data is determined by the target heat difference and the preset user health status; The air conditioning temperature data and the air conditioning wind speed data are determined and outputted according to the heat velocity data and the user health status.

[0005] By adopting the above technical solution, the temperature and wind speed are automatically controlled through heat measurement and judgment of the user's health, thereby reducing the impact on the user, greatly improving the user experience, and making the air conditioning control more intelligent.

[0006] Optionally, the calculation of the target heat difference value further includes: Real-time detection to obtain outdoor temperature data; Determine the ambient temperature difference by using the outdoor temperature data and the indoor temperature data; Determining heat conduction data by using the ambient temperature difference, a preset temperature difference threshold and a preset chamber wall thermal conductivity threshold; The new heat velocity data is determined by the heat conduction data and the original heat velocity data, and replaces the original heat velocity data to participate in the calculation.

[0007] By adopting the above technical solution, the error of heat conduction on air conditioning caused by the temperature difference between indoor and outdoor is reduced, and the heat velocity data is corrected through heat conduction data to improve accuracy and further enhance the user experience.

[0008] Optional, including: The user health status includes user medical history data and user body temperature data; Determine the user's physical condition through the user's medical history data and the user's body temperature data; Determine the cold temperature range and the cooling speed range based on the user's medical history data and a preset cold threshold; Determine the lowest temperature data and the fastest cooling data according to the user's physical condition, the cold temperature range and the cooling speed range; Determine the new set temperature by the minimum temperature data and the original set temperature, and replace the original set temperature to participate in the calculation of the target heat difference; New air-conditioning temperature data and new air-conditioning wind speed data are determined by the fastest cooling data, the original air-conditioning temperature data and the original air-conditioning wind speed data, and the original air-conditioning temperature data and the original air-conditioning wind speed data are replaced to participate in the calculation.

[0009] By adopting the above technical solution, the temperature and wind speed of the air conditioner are automatically adjusted according to the user's physical condition, reducing the probability of the user's body being affected by the air conditioning cooling, and further improving the user experience.

[0010] Optionally, determining new air-conditioning temperature data and new air-conditioning wind speed data by using the fastest temperature drop data, the original air-conditioning temperature data and the original air-conditioning wind speed data further includes: Determine the new air-conditioning wind speed data according to the user's physical condition, the fastest cooling data, the indoor temperature data, a preset trigger threshold and a preset comfort temperature threshold, and replace the original air-conditioning wind speed data to participate in the calculation; or determining new air-conditioning wind speed data according to the indoor temperature data, the comfortable temperature threshold, the user's physical condition and the cooling speed interval, and replacing the original air-conditioning wind speed data to participate in the calculation; The new air-conditioning wind speed data is determined by the new air-conditioning temperature data and the heat velocity data, and the original air-conditioning wind speed data is replaced and involved in the calculation.

[0011] By adopting the above technical solution, the temperature can quickly reach a comfortable temperature. Since the human body will feel it more obviously when approaching the comfortable temperature, the cooling speed is slowed down when approaching the comfortable temperature. If the user has a disease, the temperature is not allowed to drop below the comfortable temperature. If the user is in good health, the cooling is slowed down within the comfortable temperature range to give the body time to adapt, and then the cooling is accelerated to ensure the user experience while achieving rapid cooling.

[0012] Optional, including: Get the number of people entering the door and the quality of the people entering the door; Determine the body heat according to the number of people entering the door, the quality of the people entering the door and a preset heat generation threshold; New heat velocity data is determined by the human body heat output and the original heat velocity data, and the new heat velocity data is replaced to participate in the calculation.

[0013] By adopting the above technical solution, the interference of heat generated by the human body on the heat calculation before air conditioning cooling is reduced, and the accuracy is further improved.

[0014] Optional, including: Obtain user pulse data and user image recognition data; Determining user motion data through the user image recognition data; Determine the user's motion state through the user's motion data, the user's pulse data and a preset motion conversion threshold; Determine the new minimum temperature data by the user's motion state and the preset pulse threshold of the disease, and replace the original minimum temperature data to participate in the calculation; An alarm signal is determined according to the user's motion state and outputted.

[0015] By adopting the above technical solution, the user's physical condition can be judged, and a protective role and a monitoring role can be played at the same time.

[0016] The present application provides an intelligent switch panel system, which adopts the following technical solutions: An intelligent switch panel system, comprising: A temperature detection module is used to detect indoor and outdoor temperatures, obtain the indoor temperature data and the outdoor temperature data and output them; A visual recognition module is used to identify people in the room, obtain the number of people entering the room and the user movement data and output them; A pressure detection module, used to detect the pressure of a person entering the room, obtain the door entry quality and output it; A pulse detection module, used to detect the pulse information of the user, obtain the user's pulse data and output it; An air conditioning module, used to provide cold air to achieve indoor cooling; The data processing module receives the indoor temperature data, the outdoor temperature data, the number of people entering the door, the user movement data, the entry quality and the user pulse data, performs data processing and calculation to obtain the air-conditioning temperature data and the air-conditioning wind speed data, and outputs them to the air-conditioning module for cooling control.

[0017] By adopting the above technical solution, the comfort and intelligence of air conditioning cooling can be improved.

[0018] The present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and executed by a temperature control method for an intelligent switch panel.

[0019] By adopting the above technical solution, the computer program is stored in a computer-readable storage medium.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: 1. Automatically control temperature and wind speed to reduce the impact on users, greatly improve user experience, and make air conditioning control more intelligent.

[0021] 2. Reduce the interference of environmental heat conduction and human body heat generation on heat calculation and improve accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of a temperature control method for an intelligent switch panel in an embodiment of the present application.

[0023] Figure 2 It is a flowchart of steps S2-S23.

[0024] Figure 3 It is a flowchart diagram of steps S3-S35.

[0025] Figure 4 It is a flowchart diagram of steps S4-S42.

[0026] Figure 5 It is a flowchart diagram of steps S5-S52.

[0027] Figure 6 It is a flowchart diagram of steps S6-S64.

[0028] Figure 7 It is a module schematic diagram of a temperature control system for an intelligent switch panel in an embodiment of the present application.

[0029] Explanation of the accompanying drawings: 1. Temperature detection module; 2. Visual recognition module; 3. Pressure detection module; 4. Pulse detection module; 5. Air conditioning module; 6. Data processing module. DETAILED DESCRIPTION

[0030] The following is combined with Figure 1-7 This application is described in further detail.

[0031] The present application embodiment discloses a temperature control method for an intelligent switch panel. Figure 1 , the temperature control method for the intelligent switch panel includes the following steps: S1, real-time detection to obtain indoor temperature data; S11, determining a target heat difference value through indoor temperature data, preset set temperature data and preset indoor space data; S12, determining caloric velocity data based on the target caloric difference and the preset user health status; S13. Determine the air conditioning temperature data and the air conditioning wind speed data based on the heat velocity data and the user's health status and output them.

[0032] Detailed: Indoor temperature data is the actual indoor temperature detected, set temperature data is the indoor temperature set by the user, and indoor space data is the size of the indoor space. If the indoor temperature data is 36°, if the set temperature data is 28°, if the indoor space data is 200m 3 , the specific heat capacity of air is 1kJ / (kg·K) and the air density is 1.29kg / m 3 , it can be obtained that the heat required to reduce the indoor temperature from 36° to 28° is 200*1.29*(28-36)=-2064kJ of heat, that is, 2064kJ of indoor heat needs to be transferred out, which is the target heat difference. The user health status is the user's physical health. The user here means the owner or tenant or his relatives and friends. Physical health can be, for example, normal, weak, cold and fever. If it is normal, a larger heat speed data can be provided to achieve rapid cooling. If it is a cold and fever, only a smaller heat speed data can be increased. If the heat velocity data is -10kJ / s, the air-conditioning temperature data and air-conditioning wind speed data can be obtained according to the user's physical condition. For example, if the user is in normal physical condition, the normal air-conditioning temperature data and air-conditioning wind speed data can achieve a comprehensive cooling heat velocity data of -10kJ / s. If the user has a cold or fever, the temperature can be appropriately reduced, but the wind cannot be blown. Therefore, the air-conditioning temperature data is lowered at this time, and the air-conditioning wind speed data is reduced at the same time to achieve a comprehensive cooling heat velocity data of -10kJ / s.

[0033] Reference Figure 2The calculation of the target heat difference in step S11 also includes the following steps: S2, real-time detection to obtain outdoor temperature data; S21, determining the ambient temperature difference through the outdoor temperature data and the indoor temperature data; S22, determining heat conduction data by using the ambient temperature difference, a preset temperature difference threshold, and a preset chamber wall thermal conductivity threshold; S23, determining new heat velocity data through the heat conduction data and the original heat velocity data, and replacing the original heat velocity data to participate in the calculation.

[0034] Detailed: The outdoor temperature data is obtained by real-time detection of the external environment of the house. The temperature difference threshold is the difference in heat conduction caused by different temperature differences. For example, if the external temperature is 36° and the internal temperature is 34°, the ambient temperature difference is only 2°, and the speed of external heat conduction into the interior will be very slow. However, if the external temperature is 36° and the internal temperature is 16°, the ambient temperature difference is only 20°, and the speed of external heat conduction into the interior will be very slow. Once the air conditioner is stopped, the indoor temperature will rise rapidly. This is affected by the temperature difference threshold. If the ambient temperature difference is 10°, the temperature difference threshold is set to a. The wall thermal conductivity threshold is the thermal conductivity of the house wall, which is usually related to the wall. It is related to the material and the internal structure of the wall. Assuming the thermal conductivity threshold of the room wall is b, the heat conduction data is 10*a*b, which is the speed of heat conduction. Combined with the original heat speed data, if the original heat speed data is -10kJ / s, and if it is necessary to achieve a heat conduction speed of -10kJ / s when external heat enters the interior, the heat speed data needs to be corrected to -(10+10*a*b)kJ / s, which is the new heat speed data. As the indoor temperature continues to drop, the ambient temperature difference will further increase, and the heat conduction data will change adaptively, thereby continuously correcting the heat speed data.

[0035] Reference Figure 3 , further comprising the following steps: S3, user health status includes user medical history data and user temperature data; S31, determining the user's physical condition through the user's medical history data and the user's body temperature data; S32, determining the cold temperature range and the cooling speed range based on the user's medical history data and the preset cold threshold; S33, determining the lowest temperature data and the fastest cooling data according to the user's physical condition, the cold temperature range and the cooling speed range; S34, determining a new set temperature according to the lowest temperature data and the original set temperature, and replacing the original set temperature to participate in the calculation of the target heat difference; S35, determining new air-conditioning temperature data and new air-conditioning wind speed data through the fastest cooling data, the original air-conditioning temperature data and the original air-conditioning wind speed data, and replacing the original air-conditioning temperature data and the original air-conditioning wind speed data to participate in the calculation.

[0036] Detailed: User medical history data is used to input and store the user's medical history, such as physical weakness, cold body, asthma, arthritis and other diseases related to temperature and wind speed. User temperature data is obtained by collecting the user's temperature through devices such as smart bracelets and electronic thermometers that have convenient and rapid temperature detection. If the user's temperature data is 35° and the user's medical history data is cold body, it is judged that the body temperature is too low and may cause cold body symptoms. This judgment result is the user's physical condition. The cold threshold corresponding to the cold body will be higher, that is, the external temperature will not be too low as much as possible, which will aggravate the condition of the user with cold body. At this time, the obtained cold temperature range may be as high as 30°, and the cooling speed range will also be lower, reducing the cooling speed. If the user's medical history data is normal and without symptoms, the cold temperature range may be as low as 24° or even 18°, and the cooling speed range will be higher to achieve faster cooling. The user's physical condition is matched with the cold threshold For example, the cold temperature range corresponding to body cold is [28°, 30°], that is, when the body temperature of the user with body cold is 37°, the corresponding minimum temperature data is 28°, when the body temperature of the user with body cold is 36°, the corresponding minimum temperature data is 29°, when the body temperature of the user with body cold is 35°, the corresponding minimum temperature data is 30°, that is, the air conditioner can only reduce the indoor temperature to this temperature at most. The fastest cooling data is similar. The cooling speed range of the user with body cold is lower than that of normal users. The lower the current body temperature of the user with body cold, the lower value in the cooling speed range is taken by the fastest cooling data to achieve slower cooling. Then compare the obtained minimum cooling data with the original set temperature. If the set temperature is higher than the minimum cooling data, keep the original set temperature unchanged. If the set temperature is lower than the minimum cooling data, increase the set temperature to the temperature of the minimum cooling data. The same is true for the fastest cooling data. Reference Figure 4 , the adjustment of the air-conditioning temperature data and the air-conditioning wind speed data by the fastest cooling data in step S35 includes the following steps: S4, determining new air-conditioning wind speed data according to the user's physical condition, the fastest cooling data, the indoor temperature data, the preset trigger threshold and the preset comfort temperature threshold, and replacing the original air-conditioning wind speed data to participate in the calculation; S41, or determining new air-conditioning wind speed data according to indoor temperature data, comfortable temperature threshold, user's physical condition and cooling speed range, and replacing the original air-conditioning wind speed data to participate in the calculation; S42, determining new air-conditioning wind speed data through the new air-conditioning temperature data and the heat velocity data, and replacing the original air-conditioning wind speed data and participating in the calculation.

[0037] In detail: The comfort temperature threshold is the temperature that makes people feel comfortable and is the best for the human body. It has different values ​​according to the user's physical condition and symptoms. For example, the comfort temperature threshold of a normal person may be 26°, while the comfort temperature threshold of a user with cold body may reach 28°. If the trigger threshold is 10°, it means that it will be triggered only when the indoor temperature data is greater than the comfort temperature threshold by more than 10°. When the difference between the indoor temperature data and the comfort temperature threshold is greater than 10°, step S4 is completed, so that the air conditioning wind speed data is adjusted according to the fastest cooling data; and if the difference between the indoor temperature data and the comfort temperature threshold is within 10° If the user's physical condition indicates that he has a cold body, the air-conditioning wind speed data will be adjusted according to the lowest speed in the cooling speed range. If the user's physical condition is normal, the air-conditioning wind speed data will only be adjusted according to the middle data in the cooling speed range. When the indoor temperature data drops below the comfortable temperature threshold, the air-conditioning wind speed data will be restored to the fastest cooling data to continue cooling. Only users with normal physical conditions can reduce the indoor temperature data to below the comfortable temperature threshold. The new air-conditioning wind speed data can be inferred by combining the air-conditioning temperature data with the heat speed data, thereby controlling the air conditioner.

[0038] Reference Figure 5 , further comprising the following steps: S5. Obtain the number of people entering the door and the quality of the people entering the door; S51, determining the body heat according to the number of people entering the door, the quality of the people entering the door and a preset heat generation threshold; S52, determining new heat velocity data based on the heat output of the human body and the original heat velocity data, and replacing the original heat velocity data to participate in the calculation.

[0039] In detail: the number of people entering the house is realized by a device with image recognition function such as a camera, which is the person entering the house at the door. The entrance quality can be detected by a pressure sensor buried in the entrance, a circuit module containing a piezoresistor and other devices with pressure detection. The identified number of people entering the house is matched with the entrance quality. For example, image No. 1 in the number of people entering the house corresponds to the entrance quality detected for the first time, and image No. 2 in the number of people entering the house corresponds to the entrance quality detected for the second time, thereby realizing a simple detection of a person's weight. The heat generation threshold is the threshold data of heat dissipation corresponding to different weights. For example, 50kg will dissipate heat at a rate of c, but a 100kg person will definitely not dissipate heat at a rate of 2c. Under the condition of similar metabolic levels, the heat dissipation rate of a 100kg person is usually less than 2c, but there is still an interval. The calculation related to this weight and heat dissipation rate is the heat generation threshold, thereby roughly obtaining the body heat. The addition of the body heat of all people entering the house is the interference to the heat speed data, thereby correcting the heat speed data again.

[0040] Reference Figure 6 , further comprising the following steps: S6, obtaining user pulse data and user image recognition data; S61, determining user motion data through user image recognition data; S62, determining the user's motion state through the user's motion data, the user's pulse data and a preset motion conversion threshold; S63, determining new minimum temperature data based on the user's motion state and a preset pulse threshold value of the disease, and replacing the original minimum temperature data for calculation; S64: Determine an alarm signal based on the user's motion status and output it.

[0041] In detail: the user's pulse data can be obtained through, for example, a smart bracelet, a medical bracelet or other smart devices or medical devices with the function of detecting or detecting pulse. The user's image recognition data is an image recognition function for the user, which is only for the owner or tenant or other specific targets. The guests are not within the recognition range. The user's moving speed is judged through continuous user image recognition data, thereby judging the user's exercise state. For example, moving five meters in one second is sprinting, moving three meters in one second is trotting, moving one meter in one second is fast walking, and moving half a meter in one second is walking. Each exercise state represents a different amount of exercise. Combined with the user's pulse data, the exercise conversion threshold is different amounts of exercise. In theory, different amounts of exercise will cause changes in the pulse. For example, if the user's motion data shows that the user took a walk, but the user's pulse data soared, for example, according to the motion conversion threshold, the user's pulse data should increase by five beats per minute, but the user's pulse data increased by 30 beats / min, then the user's physical condition is abnormal. The user's motion state is obtained, and then the symptom pulse threshold is used to determine what the symptom is. Then the minimum temperature data is adjusted. For example, it may be judged to be shock, sudden asthma and other symptoms. The temperature is increased to reduce the probability of further aggravation of the disease, and an alarm signal is output to a designated terminal, such as a family member's mobile phone. The data priority can be set by the user. Generally, the data calculated with the user's pulse data has the highest priority.

[0042] The present application embodiment discloses an intelligent switch panel system. Figure 7 The intelligent switch panel system includes a temperature detection module 1, a visual recognition module 2, a pressure detection module 3, a pulse detection module 4, an air conditioning module 5, and a data processing module 6. The temperature detection module 1 can use a temperature sensor, and the number is multiple, at least two, which are installed outdoors and indoors respectively, to detect and obtain indoor temperature data and outdoor temperature data, and output them to the data processing module 6.

[0043] Reference Figure 7The visual recognition module 2 may use a camera device with image recognition capabilities to identify people entering the house through the door and to follow the activities of designated users in the room in real time, obtain the number of people entering the room and the user's movement data, and output them to the data processing module 6. The pressure detection module 3 may use a pressure sensor, which is buried in the entrance, to detect the gravity of people entering the room, obtain the entry quality and output it to the data processing module 6. The pulse detection module 4 may use a smart bracelet or other devices or medical equipment capable of detecting pulse and body temperature, detect the user's body temperature data and user pulse data, and output them to the data processing module 6.

[0044] Reference Figure 7 The data processing module 6 includes a database and a processor. The database is used to store various threshold data, such as indoor space data, user health status, temperature difference threshold, wall heat conduction threshold, cold threshold, comfortable temperature threshold, heat generation threshold, motion conversion threshold and disease pulse threshold. The processor is used to receive indoor temperature data, outdoor temperature data, number of people entering the door, user motion data, door entry quality, user body temperature data and user pulse data, and call the corresponding threshold data from the database to perform data processing, obtain air conditioning temperature data and air conditioning wind speed data, and output them to the air conditioning module 5 for cooling control. The air conditioning module 5 controls the temperature of the output cold air according to the air conditioning temperature data, and controls the output air volume through the air conditioning wind speed data.

[0045] The processor may include a central processing unit such as a CPU or MPU or a host system built around a CPU or MPU, including hardware or software. After the meter has a processor, people can freely control the metering instrument through programming to make it run according to people's wishes. The processor can control local measurement transmission, remote measurement transmission, remote communication, etc. through internal protocols. Internal protocols refer to all protocols that achieve mutual communication or links within the same metering instrument or the same system, including: human-computer interaction protocols, software / hardware (interface) protocols, chip bus (C-Bus) protocols, internal bus (I-Bus) protocols, etc. Part or all of the protocols. With the development of integrated circuit technology, some protocols that belong to the external bus (E-Bus) protocol are also classified as internal protocols after the external bus (E-Bus) is integrated into the chip.

[0046] The embodiment of the present application discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute a temperature control method for an intelligent switch panel.

[0047] Computer-readable storage media include, for example, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0048] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A temperature control method for an intelligent switch panel, characterized in that: include: Real-time detection to obtain indoor temperature data; Determining a target heat difference value by using the indoor temperature data, the preset set temperature data and the preset indoor space data; The target calorie difference and the preset user health status determine the calorie velocity data; The air conditioning temperature data and the air conditioning wind speed data are determined and outputted according to the heat velocity data and the user health status.

2. A temperature control method for an intelligent switch panel according to claim 1, characterized in that: The calculation of the target heat difference also includes: Real-time detection to obtain outdoor temperature data; Determine the ambient temperature difference by using the outdoor temperature data and the indoor temperature data; Determining heat conduction data by using the ambient temperature difference, a preset temperature difference threshold and a preset chamber wall thermal conductivity threshold; The new heat velocity data is determined by the heat conduction data and the original heat velocity data, and replaces the original heat velocity data to participate in the calculation.

3. A temperature control method for an intelligent switch panel according to claim 1, characterized in that: include: The user health status includes user medical history data and user body temperature data; Determine the user's physical condition through the user's medical history data and the user's body temperature data; Determine the cold temperature range and the cooling speed range based on the user's medical history data and a preset cold threshold; Determine the lowest temperature data and the fastest cooling data according to the user's physical condition, the cold temperature range and the cooling speed range; Determine the new set temperature by the minimum temperature data and the original set temperature, and replace the original set temperature to participate in the calculation of the target heat difference; New air-conditioning temperature data and new air-conditioning wind speed data are determined by the fastest cooling data, the original air-conditioning temperature data and the original air-conditioning wind speed data, and the original air-conditioning temperature data and the original air-conditioning wind speed data are replaced to participate in the calculation.

4. A temperature control method for an intelligent switch panel according to claim 3, characterized in that: Determining new air-conditioning temperature data and new air-conditioning wind speed data by using the fastest temperature drop data, the original air-conditioning temperature data and the original air-conditioning wind speed data, further comprising: Determine the new air-conditioning wind speed data according to the user's physical condition, the fastest cooling data, the indoor temperature data, a preset trigger threshold and a preset comfort temperature threshold, and replace the original air-conditioning wind speed data to participate in the calculation; or determining new air-conditioning wind speed data according to the indoor temperature data, the comfortable temperature threshold, the user's physical condition and the cooling speed interval, and replacing the original air-conditioning wind speed data to participate in the calculation; The new air-conditioning wind speed data is determined by the new air-conditioning temperature data and the heat velocity data, and the original air-conditioning wind speed data is replaced and involved in the calculation.

5. A temperature control method for an intelligent switch panel according to claim 3, characterized in that: include: Get the number of people entering the door and the quality of the people entering the door; Determine the body heat according to the number of people entering the door, the quality of the people entering the door and a preset heat generation threshold; New heat velocity data is determined by the human body heat output and the original heat velocity data, and the new heat velocity data is replaced to participate in the calculation.

6. A temperature control method for an intelligent switch panel according to claim 5, characterized in that: include: Obtain user pulse data and user image recognition data; Determining user motion data through the user image recognition data; Determine the user's motion state through the user's motion data, the user's pulse data and a preset motion conversion threshold; Determine the new minimum temperature data by the user's motion state and the preset pulse threshold of the disease, and replace the original minimum temperature data to participate in the calculation; An alarm signal is determined according to the user's motion state and outputted.

7. An intelligent switch panel system, using the temperature control method for an intelligent switch panel according to claim 1, characterized in that: include: A temperature detection module (1) is used to detect indoor and outdoor temperatures, obtain indoor temperature data and outdoor temperature data, and output them; A visual recognition module (2) is used to recognize people in the room, obtain the number of people entering the room and the user movement data, and output them; A pressure detection module (3) is used to detect the pressure of a person entering the room, obtain the door entry quality and output it; A pulse detection module (4), used to detect the pulse information of the user, obtain the user's pulse data and output it; An air conditioning module (5) is used to provide cold air to achieve indoor cooling; The data processing module (6) receives the indoor temperature data, the outdoor temperature data, the number of people entering the door, the user movement data, the entry quality and the user pulse data, performs data processing and calculation to obtain the air-conditioning temperature data and the air-conditioning wind speed data, and outputs them to the air-conditioning module (5) for temperature reduction control.

8. A computer-readable storage medium, characterized in that: The device stores a computer program that can be loaded by a processor and execute a temperature control method for an intelligent switch panel according to any one of claims 1 to 6.

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