CN113494759A

CN113494759A - Device and method for adjusting PMV value

Info

Publication number: CN113494759A
Application number: CN202010192719.5A
Authority: CN
Inventors: 郭徽; 李成龙; 许丽星
Original assignee: Hisense Co Ltd
Current assignee: Hisense Co Ltd
Priority date: 2020-03-18
Filing date: 2020-03-18
Publication date: 2021-10-12
Anticipated expiration: 2040-03-18
Also published as: CN113494759B

Abstract

The invention discloses equipment and a method for adjusting a PMV (Power management vector) value, which are used for solving the problems that the PMV value obtained by using a traditional PMV model is low in accuracy and inaccurate in evaluation of the thermal comfort of a user. The device for adjusting the PMV value comprises: the acquisition device is used for acquiring current geographical position information and current date information after meeting preset conditions; the processor is used for determining comfort degree adjusting values for representing different regions and different time influences on the comfort degree of the human body according to the current geographical position information and the current date information; and adjusting the PMV value by using the comfort degree adjusting value, wherein the PMV value is obtained by inputting the current parameters influencing the comfort degree of the human body into the PMV model. Because the comfort degree adjusting value is determined by the current geographical position information and the current date information, the PMV value is adjusted according to different climates in different regions, thereby improving the accuracy of the PMV value and evaluating the thermal comfort degree of the user more accurately.

Description

Device and method for adjusting PMV value

Technical Field

The present invention relates to the field of wireless communication technologies, and in particular, to an apparatus and method for adjusting a PMV (Predicted Mean volume) value.

Background

The indoor hot and humid environment refers to a physical environment formed by indoor temperature and relative humidity which are directly sensed by people, and the feeling of people on the indoor hot and humid environment is called as indoor hot and humid environment thermal comfort level, which is called as thermal comfort level for short. The quantitative criterion for thermal comfort is referred to as the thermal comfort index.

At present, a thermal comfort index (PMV) value is calculated through a PMV equation, and whether the current physical environment meets the thermal comfort requirement of a person or not is judged according to the obtained PMV value. The thermal comfort PMV value is mainly influenced by the following six factors: indoor ambient temperature, relative humidity, air flow rate, average radiation temperature, human clothing thermal resistance and metabolism rate.

Since the PMV value obtained by the PMV model is a universal PMV value, the PMV value obtained by using the conventional PMV model has low accuracy and is inaccurate in evaluation of the thermal comfort of the user.

Disclosure of Invention

The invention provides equipment and a method for adjusting a PMV (pulse modulation V) value, which are used for solving the problems that the precision of the PMV value obtained by using a traditional PMV model is low and the comfort requirement of a user cannot be reasonably met in the prior art.

In a first aspect, an embodiment of the present invention provides an apparatus for adjusting a PMV value, where the apparatus includes: a collection device and a processor;

the acquisition device is used for acquiring current geographical position information and current date information after meeting preset conditions;

the processor is used for determining comfort degree adjusting values for representing different regions and different time influences on the comfort degree of the human body according to the current geographic position information and the current date information;

and adjusting the PMV value by using the comfort degree adjusting value, wherein the PMV value is obtained by inputting the current parameters influencing the comfort degree of the human body into a PMV model.

According to the equipment, firstly, the acquisition device acquires current geographical position information and current date information after meeting preset conditions, then the processor determines comfort degree adjustment values for representing different regions and influencing human comfort degrees at different times according to the geographical position information and the current date information, and finally, the PMV value is adjusted by using the comfort degree adjustment values. The invention adjusts the PMV value calculated by the general method by using the comfort adjustment value, and the comfort adjustment value is determined by the current geographical position information and the current date information, so that the PMV value is adjusted according to different climates in different regions, the accuracy of the PMV value is further improved, and the evaluation on the thermal comfort of the user is more accurate.

In one possible implementation, the processor is specifically configured to:

determining an adjustment coefficient according to the current geographical position information and the current date information;

determining an adjusting function according to the geographical position information, the current date information and the current environment parameters;

and multiplying the adjusting coefficient and the adjusting function to obtain a comfort degree adjusting value.

The device firstly determines an adjustment coefficient, then determines an adjustment function, and finally takes the product of the adjustment coefficient and the adjustment function as a comfort adjustment value. Because the adjustment coefficient is determined according to the current geographical position information and the current date information, and the adjustment function is determined according to the current geographical position information, the current date information and the current environment information, the comfort adjustment value is determined according to different climates in different regions, and the comfort adjustment value is more accurate.

In one possible implementation, the processor is specifically configured to:

and determining the current geographical position information and the adjustment coefficient corresponding to the current date information according to the preset binding relationship among the geographical position information, the date information and the adjustment coefficient.

The device firstly establishes a binding relationship of the geographic position information, the date information and the adjustment coefficient, and then determines the adjustment coefficient corresponding to the current geographic position information/the current date information according to the binding relationship. The equipment for adjusting the PMV value determines the adjustment coefficient through the binding relationship, so that the equipment is quick, convenient and resource-saving.

In one possible implementation, the processor is specifically configured to:

determining the current geographical position information and the human body comfortable environment parameter corresponding to the current date information according to the preset binding relationship of the geographical position information, the date information and the human body comfortable environment parameter;

determining an environment change coefficient corresponding to the current environment parameter and the human body comfortable environment parameter according to the binding relationship among the current environment parameter, the human body comfortable environment parameter and the environment change coefficient;

and determining the adjusting function according to the current environment parameter, the human body comfortable environment parameter and the environment change coefficient.

The device firstly determines the comfortable environment parameters of the human body, then determines the environment change coefficient and finally determines the adjusting function. The human body comfortable environment parameter is a human body comfortable environment parameter corresponding to the current geographic position information and the current date information, the environment change coefficient is an environment change coefficient corresponding to the current environment parameter and the human body comfortable environment parameter, and the adjustment function is determined by the current environment parameter, the human body comfortable environment parameter and the environment change coefficient.

In one possible implementation, the processor is specifically configured to determine the adjustment function by some or all of the following:

the first mode is that the current environment parameter comprises a current temperature parameter, and the human body comfortable environment parameter comprises a human body comfortable temperature parameter:

taking the product of the parameter difference value and the environment change coefficient as the adjusting function, wherein the parameter difference value is the difference value between the current environment parameter and the human body comfortable environment parameter;

the second mode is that the current environment parameters comprise current humidity parameters, and the human body comfortable environment parameters comprise human body comfortable humidity parameters:

taking the product of the relative environmental parameter and the environmental change coefficient as the adjusting function, wherein the relative environmental parameter is the ratio of a parameter difference value and the absolute value of the parameter difference value, and the parameter difference value is the difference value between the current environmental parameter and the human body comfortable environmental parameter;

the third mode is that the current environment parameters comprise current air flow rate parameters, and the human body comfortable environment parameters comprise human body comfortable air speed parameters:

and taking the product of the relative environment parameter and the environment change coefficient as the adjusting function, wherein the relative environment parameter is the ratio of a parameter difference value and the absolute value of the parameter difference value, and the parameter difference value is the difference value between the current environment parameter and the human body comfortable environment parameter.

The equipment provides three specific ways for determining the adjusting function, and the three ways all use the current geographical position information and the current date information, so that the PMV value is adjusted by using the adjusting function determined by the three ways, and the adjusted PMV value can better meet the requirement of the thermal comfort degree of the human body.

In one possible implementation, the preset condition includes some or all of the following:

responding to a command of a user for adjusting the PMV value;

the obtained PMV value is out of the set range.

Before acquiring the current geographical location information and the current date information, the above device must satisfy a preset condition, where the preset condition may be an instruction for responding to a user to adjust the PMV value, may also be that the obtained PMV value exceeds a set range, or may both exist. And the current geographic position information and the current date information are acquired after the preset conditions are met, so that resources can be saved.

In a second aspect, a method for adjusting a PMV provided in an embodiment of the present invention is applied to an intelligent home appliance, and the method includes:

acquiring current geographical position information and current date information after a preset condition is met;

determining comfort degree adjusting values for representing different regions and different time influences on the comfort degree of the human body according to the current geographical position information and the current date information;

In a possible implementation manner, the determining, according to the current geographic location information and the current date information, comfort level adjustment values for representing that human comfort levels are affected in different areas and at different times includes:

In a possible implementation manner, the determining an adjustment coefficient according to the current geographic location information and the current date information includes:

In a possible implementation manner, the determining an adjustment function according to the current geographic location information, the current date information, and the current environmental parameter includes:

In one possible implementation, the adjustment function is determined by some or all of the following:

responding to a command of a user for adjusting the PMV value;

the obtained PMV value is out of the set range.

In a third aspect, the present application further provides a computer storage medium having a computer program stored thereon, which when executed by a processing unit, implements the step of adjusting the PMV value according to any one of the second aspects.

In addition, the technical effects brought by any implementation manner in the second aspect may refer to the technical effects brought by different implementation manners in the first aspect, and are not described herein again.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention and are not to be construed as limiting the invention.

Fig. 1 is a schematic structural diagram of an apparatus for adjusting a PMV value according to an embodiment of the present invention;

fig. 2 is a block diagram of a software structure of an apparatus for adjusting a PMV value according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an apparatus user interface for adjusting a PMV value according to an embodiment of the present invention;

fig. 4 is a schematic interface diagram showing indoor comfort according to an embodiment of the present invention;

fig. 5 is a schematic flowchart of a method for adjusting a PMV value according to an embodiment of the present invention;

fig. 6 is a schematic view of a complete flow chart of a method for adjusting a PMV value according to an embodiment of the present invention;

FIG. 7 is a flowchart illustrating a method for calculating a PMV value according to an embodiment of the present invention;

fig. 8 is a schematic diagram of an indoor temperature comfort zone according to an embodiment of the present invention;

fig. 9 is a flowchart illustrating a complete method for calculating a PMV value according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.

The term "intelligent household appliance" in the embodiment of the invention is a household appliance product formed by introducing a microprocessor, a sensor technology and a network communication technology into household appliances, such as an intelligent air conditioner, an intelligent humidifier, an intelligent air purifier, an intelligent fresh air machine and the like.

The application scenario described in the embodiment of the present invention is for more clearly illustrating the technical solution of the embodiment of the present invention, and does not form a limitation on the technical solution provided in the embodiment of the present invention, and it can be known by a person skilled in the art that with the occurrence of a new application scenario, the technical solution provided in the embodiment of the present invention is also applicable to similar technical problems. Wherein, in the description of the present invention, unless otherwise indicated, "a plurality" means.

At present, a traditional thermal comfort PMV model is mainly adopted for indoor environment evaluation, and a thermal comfort value is calculated according to environmental factors (temperature, relative humidity and air flow rate) and human factors (clothing thermal resistance and human metabolic rate). The thermal comfort PMV model is an evaluation index for representing human thermal reaction (thermal sensation) proposed by professor van guerre (p.o.fanger) in denmark, and represents the average of the thermal sensation of most people in the same environment. Indexes provided by the model represent average voting values of most people to a hot environment, and the indexes have seven levels of feelings, namely cold (-3), cold (-2), slightly cold (-1), moderate (0), slightly warm (1), warm (2) and hot (3). The recommended value of PMV is between-0.5 and + 0.5.

The conventional PMV model is briefly introduced below.

The traditional comfort model comprehensively considers two major influence factors, namely environmental factors (air temperature, relative humidity and air flow rate) and human factors (clothing thermal resistance and human body metabolic rate), is a relatively comprehensive index considering a plurality of factors of thermal comfort, and is also a relatively authoritative and representative thermal comfort evaluation index.

The PMV value calculation formula is as follows:

PMV＝(0.303e^-0.036M+0.028){(M-W)-3.05×10^-3×[5733-6.99(M-W)-p_a]-0.42

×[(M-W)-58.15]-1.7×10^-5M(5867-p_a)-0.0014M(34-t_a)-3.96×10^-8f_cl

×[(t_cl+273)⁴-(t_mrt+273)⁴]-f_clh_c(t_cl-t_a)}

the parameters involved in the formula are respectively:

m is the human body metabolism 69.8W/M2, which is the average metabolism of a normal human body when the human body sits still or walks, and the human body movement metabolism is increased along with the increase of the movement amount; at the same time, the value can be differentiated according to gender: the average metabolism of men is 80.1W/m2 as default, and 64.3W/m2 of women.

W is mechanical work, the value is related to mechanical efficiency, and the default value is 0.

fcl the clothing coefficient, i.e. the ratio of the outer surface area of the garment to the surface area of the body it surrounds. It can be calculated from the garment thermal resistance Ic, fcl ═ 1+0.2Ic, where Ic is related to the garment itself.

The garment thermal resistance value Ic is a parameter reflecting the thermal insulation performance of the garment. Its value is inversely proportional to the garment thermal conductivity in clo. 1clo is 0.155 m.k/W. The measured data of the thermal resistance values of various clothes can be checked. It has close relation with ambient temperature, wind speed and human body heat dissipation.

ta ambient air temperature, which can be measured by instrumentation.

tmrt is the radiation temperature, and is equal to the air temperature by default. Tmrt +273.15 ta + 273.15.

Pa is water vapor pressure, which can be calculated by saturated water vapor pressure and relative humidity rh (relative humidity), wherein the saturated water vapor pressure at different temperatures can be obtained by looking up a table, and the table is a universal table.

hc is the convective heat transfer coefficient, which is related to the air flow rate va. When air naturally convects, hc takes a value interval [3,10 ]. The corresponding conversion relation between hc and the air flow rate va is as follows: max (2.38 ^0.25,12.1 ^ 0.5).

Tcl is the surface temperature of the body wearing the garment.

As can be seen from the above description of the PMV model, the thermal comfort value index calculated by the conventional PMV model comprehensively considers the influence of the environmental variables and the human body variables on the thermal comfort of the human body, but does not consider other factors, such as the geographical location, the season, the outdoor temperature, and the like. The actual geographical location, season and outdoor temperature also have some influence on the thermal comfort of the human body.

For example, in winter, the outdoor temperature of a city in the north of China is-10 ℃, and when the indoor temperature reaches about 17 ℃, a human body feels more comfortable; in summer, the outdoor temperature of the area is 30 ℃, and when the indoor temperature reaches about 26 ℃, a human body feels comfortable.

The embodiment of the invention provides equipment for adjusting a PMV (pulse modulation V) value, which comprises the steps of firstly judging whether a preset condition is met, if the preset condition is met, obtaining current geographical position information and current date information, then determining comfort degree adjusting values for representing different regions and different time influences on human comfort degrees according to the current geographical position information and the current geographical position information, and finally adjusting the PMV value by using the comfort degree adjusting values, wherein the PMV value is obtained by inputting current parameters influencing the human comfort degrees into a PMV model. Because the comfort degree adjusting value is determined by the current geographical position information and the current date information, the PMV value calculated by the PMV model is adjusted according to different climates in different regions, the accuracy of the PMV value can be improved, and the evaluation on the thermal comfort degree of the user is more accurate.

Fig. 1 shows a schematic structural diagram of a device 100.

The embodiment will be specifically described below by taking the apparatus 100 as an example. It should be understood that the apparatus 100 shown in fig. 1 is merely an example, and that the apparatus 100 may have more or fewer components than shown in fig. 1, may combine two or more components, or may have a different configuration of components. The various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.

A block diagram of a hardware configuration of a device 100 according to an exemplary embodiment is illustrated in fig. 1. As shown in fig. 1, the apparatus 100 includes: the Wireless Fidelity (Wi-Fi) module 150, the Global Positioning System (GPS) module 160, the processor 170, the bluetooth module 151, the Radio Frequency (RF) circuit 180, the camera 190, and the power supply 210.

The memory 110 may be used to store software programs and data. The processor 170 performs various functions of the apparatus 100 and data processing by executing software programs or data stored in the memory 110. The memory 110 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. The memory 110 stores an operating system that enables the device 100 to operate. The memory 110 may store an operating system and various application programs, and may also store codes for performing the methods described in the embodiments of the present application.

The display unit 120 may be used to receive input numeric or character information and generate signal input related to user settings and function control of the apparatus 100, and particularly, the display unit 120 may include a touch screen 121 disposed on the front surface of the apparatus 100 and may collect touch operations of a user thereon or nearby, such as clicking a button, dragging a scroll box, and the like.

The display unit 120 may also be used to display information input by or provided to the user and a Graphical User Interface (GUI) of various menus of the apparatus 100. In particular, the display unit 120 may include a display screen 122 disposed on a front side of the device 100. The display screen 122 may be configured in the form of a liquid crystal display, a light emitting diode, or the like. The display unit 120 may be used to display various graphical user interfaces described herein.

The touch screen 121 may be covered on the display screen 122, or the touch screen 121 and the display screen 122 may be integrated to implement the input and output functions of the device 100, and after the integration, the touch screen may be referred to as a touch display screen for short. The display unit 120 in the present application may display the application programs and the corresponding operation steps.

The apparatus 100 may further comprise at least one sensor 130, such as a temperature sensor 131, a humidity sensor 132, a wind speed sensor 133. The device 100 may also be configured with other sensors such as gyroscopes, barometers, infrared sensors, light sensors, motion sensors, and the like.

Audio circuitry 140, speaker 141, microphone 142 may provide an audio interface between a user and device 100. The audio circuit 140 may transmit the electrical signal converted from the received audio data to the speaker 141, and convert the electrical signal into a sound signal by the speaker 141 and output the sound signal. The device 100 may also be configured with a volume button for adjusting the volume of the sound signal. On the other hand, the microphone 142 converts the collected sound signals into electrical signals, which are received by the audio circuit 140 and converted into audio data, which may be output to the memory 110 for further processing. In the present application, the microphone 142 may capture the voice of the user.

Wi-Fi is a short-range wireless transmission technology, and the device 100 may help a user to send and receive e-mails, browse web pages, access streaming media, etc. through the Wi-Fi module 150, which provides wireless broadband internet access for the user.

The GPS module 160 may acquire geographical location information of the device 100.

The processor 170 is a control center of the apparatus 100, connects various parts of the entire apparatus using various interfaces and lines, performs various functions of the apparatus 100 and processes data by running or executing software programs stored in the memory 110 and calling data stored in the memory 110. In some embodiments, processor 170 may include one or more processing units; the processor 170 may also integrate an application processor, which mainly handles operating systems, user interfaces, applications, etc., and a baseband processor, which mainly handles wireless communications. It will be appreciated that the baseband processor described above may not be integrated into the processor 170. In the present application, the processor 170 may run an operating system, an application program, a user interface display, a touch response, and the processing method described in the embodiments of the present application. Further, the processor 170 is coupled to the display unit 120.

In the embodiment of the present application, the processor 170 is configured to determine comfort adjustment values for representing different areas and different times that affect comfort of a human body according to the current geographic location information and the current date information; and adjusting the PMV value by using the comfort degree adjusting value, wherein the PMV value is obtained by inputting the current parameters influencing the comfort degree of the human body into a PMV model.

In determining the comfort adjustment value, the processor 170 is specifically configured to:

determining an adjustment coefficient according to the current geographical position information and the current date information; determining an adjusting function according to the geographical position information, the current date information and the current environment parameters; and multiplying the adjusting coefficient and the adjusting function to obtain a comfort degree adjusting value.

In determining the adjustment coefficient, the processor 170 is specifically configured to:

In determining the adjustment function, the processor 170 is specifically configured to:

determining the current geographical position information and the human body comfortable environment parameter corresponding to the current date information according to the preset binding relationship of the geographical position information, the date information and the human body comfortable environment parameter; determining an environment change coefficient corresponding to the current environment parameter and the human body comfortable environment parameter according to the binding relationship among the current environment parameter, the human body comfortable environment parameter and the environment change coefficient; and determining the adjusting function according to the current environment parameter, the human body comfortable environment parameter and the environment change coefficient.

The processor 170 determines the adjustment function by some or all of the following:

the first mode is that the current environment parameter comprises a current temperature parameter, and the human body comfortable environment parameter comprises a human body comfortable temperature parameter: taking the product of the parameter difference value and the environment change coefficient as the adjusting function, wherein the parameter difference value is the difference value between the current environment parameter and the human body comfortable environment parameter;

the second mode is that the current environment parameters comprise current humidity parameters, and the human body comfortable environment parameters comprise human body comfortable humidity parameters: taking the product of the relative environmental parameter and the environmental change coefficient as the adjusting function, wherein the relative environmental parameter is the ratio of a parameter difference value and the absolute value of the parameter difference value, and the parameter difference value is the difference value between the current environmental parameter and the human body comfortable environmental parameter;

the third mode is that the current environment parameters comprise current air flow rate parameters, and the human body comfortable environment parameters comprise human body comfortable air speed parameters: and taking the product of the relative environment parameter and the environment change coefficient as the adjusting function, wherein the relative environment parameter is the ratio of a parameter difference value and the absolute value of the parameter difference value, and the parameter difference value is the difference value between the current environment parameter and the human body comfortable environment parameter.

The processor 170 is specifically configured to:

responding to a command of a user for adjusting the PMV value; and/or

The obtained PMV value is out of the set range.

And the bluetooth module 151 is configured to perform information interaction with other bluetooth devices having a bluetooth module through a bluetooth protocol. For example, the device 100 may establish a bluetooth connection with a wearable electronic device (e.g., a smart watch) having a bluetooth module via the bluetooth module 151, so as to perform data interaction.

The RF circuit 180 may be used for receiving and transmitting signals during information transmission and reception or during a call, and may receive downlink data of a base station and then send the downlink data to the processor 170 for processing; the uplink data may be transmitted to the base station. Typically, the RF circuitry includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

Camera 190 may be used to capture still images or video. The object generates an optical image through the lens and projects the optical image to the photosensitive element. The photosensitive element may be a Charge Coupled Device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The light sensing elements convert the light signals into electrical signals which are then passed to the processor 170 for conversion into digital image signals.

The device 100 also includes a power source 210 (such as a battery) to power the various components. The power supply 210 may be logically connected to the processor 170 through a power management system, so as to manage charging, discharging, and power consumption functions through the power management system. The device 100 may also be configured with power buttons for powering the terminal on and off, and for locking the screen.

Fig. 2 is a block diagram of the software architecture of the device 100 of an embodiment of the present invention.

The layered architecture divides the software into several layers, each layer having a clear role and division of labor. The layers communicate with each other through a software interface. In some embodiments, the Android system is divided into four layers, an application layer, an application framework layer, an Android runtime (Android runtime) and system library, and a kernel layer from top to bottom.

The application layer may include a series of application packages.

As shown in fig. 2, the application package may include applications such as camera, gallery, calendar, phone call, map, navigation, WLAN, bluetooth, music, video, short message, etc.

The application framework layer provides an Application Programming Interface (API) and a programming framework for the application program of the application layer. The application framework layer includes a number of predefined functions.

As shown in FIG. 2, the application framework layers may include a window manager, content provider, view system, phone manager, resource manager, notification manager, and the like.

The window manager is used for managing window programs. The window manager can obtain the size of the display screen, judge whether a status bar exists, lock the screen, intercept the screen and the like.

The content provider is used to store and retrieve data and make it accessible to applications. The data may include video, images, audio, calls made and received, browsing history and bookmarks, phone books, etc.

The view system includes visual controls such as controls to display text, controls to display pictures, and the like. The view system may be used to build applications. The display interface may be composed of one or more views. For example, the display interface including the short message notification icon may include a view for displaying text and a view for displaying pictures.

The phone manager is used to provide the communication functions of the device 100. Such as management of call status (including on, off, etc.).

The resource manager provides various resources for the application, such as localized strings, icons, pictures, layout files, video files, and the like.

The notification manager enables the application to display notification information in the status bar, can be used to convey notification-type messages, can disappear automatically after a short dwell, and does not require user interaction. Such as a notification manager used to inform download completion, message alerts, etc. The notification manager may also be a notification that appears in the form of a chart or scroll bar text at the top status bar of the system, such as a notification of a background running application, or a notification that appears on the screen in the form of a dialog window. For example, text information is prompted in the status bar, a prompt tone is given, the communication terminal vibrates, and an indicator light flashes.

The Android Runtime comprises a core library and a virtual machine. The Android runtime is responsible for scheduling and managing an Android system.

The core library comprises two parts: one part is a function which needs to be called by java language, and the other part is a core library of android.

The application layer and the application framework layer run in a virtual machine. And executing java files of the application program layer and the application program framework layer into a binary file by the virtual machine. The virtual machine is used for performing the functions of object life cycle management, stack management, thread management, safety and exception management, garbage collection and the like.

The system library may include a plurality of functional modules. For example: surface managers (surface managers), Media Libraries (Media Libraries), three-dimensional graphics processing Libraries (e.g., OpenGL ES), 2D graphics engines (e.g., SGL), and the like.

The surface manager is used to manage the display subsystem and provide fusion of 2D and 3D layers for multiple applications.

The media library supports a variety of commonly used audio, video format playback and recording, and still image files, among others. The media library may support a variety of audio-video encoding formats, such as MPEG4, h.264, MP3, AAC, AMR, JPG, PNG, and the like.

The three-dimensional graphic processing library is used for realizing three-dimensional graphic drawing, image rendering, synthesis, layer processing and the like.

The 2D graphics engine is a drawing engine for 2D drawing.

The kernel layer is a layer between hardware and software. The inner core layer at least comprises a display driver, a camera driver, an audio driver and a sensor driver.

The following illustrates the workflow of the device 100 software and hardware in connection with capturing a photographic scene.

When the touch screen 121 receives a touch operation, a corresponding hardware interrupt is issued to the kernel layer. The kernel layer processes the touch operation into an original input event (including touch coordinates, a time stamp of the touch operation, and other information). The raw input events are stored at the kernel layer. And the application program framework layer acquires the original input event from the kernel layer and identifies the control corresponding to the input event. Taking the touch operation as a touch click operation, and taking a control corresponding to the click operation as a control of a camera application icon as an example, the camera application calls an interface of an application framework layer, starts the camera application, further starts a camera drive by calling a kernel layer, and captures a still image or a video through the camera 190.

The device 100 in the embodiment of the present application may be a mobile phone, a tablet computer, a wearable device, a notebook computer, a television, a controller for adjusting a PMV value, and the like.

Fig. 3 is a schematic diagram illustrating a user interface on a device, such as the communication terminal 100 of fig. 1. In some implementations, a user can open a corresponding application by touching an application icon on the user interface, or can open a corresponding folder by touching a folder icon on the user interface.

And the user touches the application icon of the indoor comfort level on the user interface to open the program of the indoor comfort level.

Fig. 4 shows a schematic view of an interface exhibiting indoor comfort. As can be seen from fig. 4, when the user touches the application icon for indoor comfort on the user interface, the comfort in the bedroom and the comfort in the living room are shown on the interface.

Comfort level in the bedroom is 'comfortable', the PMV value is 0.5, comfort level in the living room is 'hot', and the PMV value is 3. Because the comfort level in the living room is 'hot', a user can adjust the intelligent device in the living room through the adjusted PMV value by touching the button at the upper right corner of the comfort level display interface of the living room, so that the environment in the living room is more comfortable.

The following describes a method for adjusting the PMV value with a specific example.

Referring to fig. 5, a method for adjusting a PMV value according to an embodiment of the present invention includes:

s500, acquiring current geographical position information and current date information after a preset condition is met;

s501, determining comfort degree adjusting values for representing different regions and different time influences on human comfort degrees according to the current geographic position information and the current date information;

s502, adjusting a PMV value by using the comfort degree adjusting value, wherein the PMV value is obtained by inputting the current parameters influencing the comfort degree of the human body into a PMV model.

Because the comfort degree adjusting value in the embodiment of the invention is determined by the current geographical position information and the current date information, the PMV value is adjusted according to different climates in different regions, the accuracy of the PMV value is further improved, and the evaluation on the thermal comfort degree of the user is more accurate.

The embodiment of the invention is applied to intelligent household appliances, such as an intelligent air conditioner, an intelligent humidifier and an intelligent air purifier. And after the PMV value is adjusted by using the comfort degree adjusting value, controlling the intelligent household appliance according to the adjusted value.

The preset condition may be a command for adjusting the PMV value in response to a user, or may be that the obtained comfort PMV value exceeds a set range.

For example, in the smart home system, the collector periodically collects the temperature, the humidity and the air speed in the smart home system, then inputs the collected temperature, humidity and air speed into the PMV model, the obtained PMV value is 3, the actually set PMV setting range is-0.5 to 0.5, and since 3 exceeds the setting range, an instruction for acquiring the current geographical location information and the current date information is triggered.

The acquisition device acquires geographical position information, and specifically, the geographical position information can be acquired through a GPS module.

The geographical location information, taking china as an example, can divide the geographical area of china into 7 geographical areas according to the climate characteristics, which are:

in Central China: henan province, Hubei province, Hunan province;

in North China: beijing City, Tianjin City, Shanxi province, Hebei City, inner Mongolia autonomous region;

in the east China: shanghai city, Jiangsu province, Zhejiang province, Anhui province, Fujian province, Jiangxi province, Shandong province, Taiwan province;

in the south China: guangdong province, Hainan province, Guangxi Zhuang autonomous region, hong Kong special administrative region, and Macau special administrative region;

in the northwest region: shanxi province, Gansu province, Qinghai province, Ningxia Hui autonomous region, Xinjiang Uygur autonomous region;

in the northeast region: heilongjiang province, Jilin province and Liaoning province;

in the southwest region: chongqing city, Sichuan province, Guizhou province, Yunnan province and Tibet autonomous region.

The current date information may be the system time of the device, representing the current climate, such as spring, summer, fall, and winter.

After the current geographic position information and the current date information are obtained, comfort degree adjusting values used for representing that comfort degrees of human bodies are influenced in different areas and different times are determined according to the current geographic position information and the current date information.

The comfort adjustment value is used for representing that the comfort of the human body is influenced in different areas and different time. For example, in north China, if the area is cold and dry in winter and is accompanied by strong wind, the humidity and the air speed need to be adjusted.

Specifically, when the comfort level adjustment value is determined, an adjustment function is determined, an adjustment coefficient corresponding to the adjustment function is determined, and finally, the product of the adjustment function and the adjustment coefficient is used as the comfort level adjustment value.

Determining an adjusting function, namely determining a human body comfortable environment parameter at first, then determining an environment change coefficient corresponding to the human body comfortable environment parameter, and finally determining the adjusting function according to the current environment parameter, the human body comfortable environment parameter and the environment transformation coefficient.

Before determining the human body comfortable environment parameters, presetting the binding relationship of the geographic position information, the date information and the human body comfortable environment parameters, and then determining the human body comfortable environment parameters corresponding to the current geographic position information and the current date information according to the binding relationship.

The human body comfortable environment parameters can be obtained by acquiring a large amount of geographical position information and date information and then obtaining the human body comfortable environment parameters corresponding to each geographical position information and each date information through experiments.

It should be noted that the human body comfort environment parameter in the embodiment of the present invention may be some or all of the following: a human body comfortable temperature parameter, a human body comfortable humidity parameter and a human body comfortable air flow rate parameter.

The current environmental parameters are some or all of the following: a current temperature parameter, a current humidity parameter, and a current air flow rate parameter.

The human body comfortable environment parameters correspond to the current environment parameters one to one, namely, the human body comfortable temperature parameters correspond to the current temperature parameters, the human body comfortable humidity parameters correspond to the current humidity parameters, and the human body comfortable air flow rate parameters correspond to the current air flow rate parameters.

The current temperature parameter, the current humidity parameter and the current air flow rate parameter can be sent to the equipment that adjusts the PMV value after indoor smart machine gathers, also can be the equipment self gathering of adjusting the PMV value, also can be that other equipment gather, then send the equipment of adjusting the PMV value.

In order to intuitively represent the binding relationship between the geographic location information, the date information, and the human body comfort environment parameters, the following table is used as an example for explanation.

Table 1 is a table of binding relationships between geographical location information, date information, and human body comfort temperature parameters provided in the embodiment of the present invention.

TABLE 1

It should be noted that the data in table 1 are only used for example, and the specific implementation may be determined according to the actual situation.

Table 1 is a table of the binding relationship between the geographical location information, the date information, and the human body comfortable temperature parameter, and the binding relationship between the geographical location information, the date information, and the human body comfortable humidity parameter, the binding relationship between the geographical location information, the date information, and the human body comfortable air flow rate parameter are similar to table 1, which is not illustrated here.

And after the human body comfortable environment parameter is obtained, determining the environment change coefficient corresponding to the current environment parameter and the human body comfortable environment parameter according to the binding relationship among the current environment parameter, the human body comfortable environment parameter and the environment change coefficient.

Determining the environment variation coefficient can be divided into three different ways, which are described below.

In the first mode, the human body comfortable environment parameter comprises a human body comfortable temperature parameter, the environment parameter comprises a current temperature parameter, and the environment change coefficient is a temperature change coefficient.

Determining the binding relationship of the temperature change coefficient as follows: the binding relation of the temperature parameter, the human body comfortable temperature parameter and the temperature change coefficient.

In order to make the binding relationship more intuitive, the following description is in the form of a table.

Table 2 is a table showing a binding relationship among the temperature parameter, the human body comfort temperature parameter, and the temperature change coefficient according to the embodiment of the present invention.

In table 2, b1 is the temperature variation coefficient, t1 is the current temperature parameter, and the unit is ℃; t2 is a human body comfort temperature parameter in units of ℃. The human body comfortable temperature parameter t2 is the current position and the current season body feeling comfortable temperature, and can be obtained through a large number of experiments.

TABLE 2

It should be noted that the temperature adjustment coefficients in table 2 are only examples, and may be determined according to actual situations.

And in the second mode, the human body comfortable environment parameters comprise human body comfortable humidity parameters, the current environment parameters comprise current temperature parameters and current humidity parameters, and the environment change coefficient is a humidity change coefficient.

Determining the binding relationship of the humidity change coefficient as follows: the current temperature parameter, the current humidity parameter, the human body comfortable humidity parameter and the humidity change coefficient.

Since the most important factor affecting the comfort of human body is temperature, the coefficient of variation of humidity is related to temperature parameters as well as humidity parameters and human body comfort humidity parameters.

With reference to the above example of determining the temperature change coefficient, no further example is repeated here for determining the binding relationship of the humidity change coefficient.

And in the third mode, the human body comfortable environment parameters comprise human body comfortable air flow rate parameters, the current environment parameters comprise current temperature parameters and current air flow rate parameters, and the environment variation coefficient is an air flow rate variation coefficient.

Determining the binding relationship of the air flow velocity variation coefficient as follows: the current temperature parameter, the current air flow rate parameter, the human body comfortable air flow rate parameter and the air flow rate variation coefficient.

Since the most important factor affecting the comfort of the human body is the temperature, the variation coefficient of the air flow rate is related to the temperature parameter in addition to the current air flow rate parameter and the comfortable air flow rate parameter of the human body.

With reference to the above example of determining the temperature variation coefficient, no further example is repeated here for determining the binding relationship of the air flow rate variation coefficient.

After the human body comfortable environment parameter and the environment change coefficient are determined, an adjusting function is determined according to the current environment parameter, the determined human body comfortable environment parameter and the determined environment change coefficient. The environment parameter can be the temperature parameter, also can be the humidity parameter, still can be air velocity parameter, the comfortable environment parameter of human body can be human comfortable temperature parameter, also can be human comfortable humidity parameter, still can be human comfortable air velocity parameter, and environment parameter and the corresponding of human comfortable environment parameter, that is to say, temperature parameter and human comfortable temperature parameter correspond, humidity parameter and human humidity parameter correspond, air velocity parameter and human comfortable air velocity parameter correspond, divide three kinds of modes below to explain how to confirm the regulatory function.

In the first mode, if the current environment parameter is a current temperature parameter and the human body comfortable environment parameter is a human body comfortable temperature parameter, the current temperature parameter and the human body comfortable temperature parameter are subjected to difference, and the obtained difference value is multiplied by a temperature change coefficient to obtain a temperature adjustment function.

For example, if the current temperature parameter is t1, the human body comfort temperature parameter is t2, and the temperature variation coefficient is b1, the temperature adjustment function f1(t1, t2) is:

f1(t1,t2)＝(t1-t2)*b1

and secondly, if the current environment parameter is a current humidity parameter and the human body comfortable environment parameter is a human body comfortable humidity parameter, subtracting the current humidity environment parameter from the human body comfortable humidity parameter, quoting the absolute value of the difference value and the difference value to obtain a relative environment parameter, and finally taking the product of the relative environment parameter and the humidity change coefficient as a humidity adjusting function.

For example, if the current temperature is t1, the current humidity parameter is rh1, the human body comfort humidity parameter rh2, and the humidity variation coefficient is b2, the humidity adjustment function f2(t1, rh1, rh2) is:

f2(t1,rh1,rh2)＝(rh1-rh2)/abs(rh1-rh2)*b2

and thirdly, if the current environment parameter is a current air flow rate parameter and the human body comfortable environment parameter is a human body comfortable air flow rate parameter, subtracting the current air flow rate parameter from the human body comfortable air flow rate parameter, then quoting the absolute value of the difference value and the difference value to obtain a relative air flow rate parameter, and finally taking the product of the relative air flow rate parameter and the air flow rate variation coefficient as an air flow rate adjusting function.

For example, when the current temperature is t1, the current air flow parameter is v1, the human comfort air flow parameter is v2, and the variation coefficient of the air flow rate is b3, the air flow rate adjustment function f3(t1, v1, v2) is:

f3(t1,v1,v2)＝(v1-v2)/abs(v1-v2)*b3

after the adjustment function is determined, an adjustment coefficient may be determined according to the current human body comfort environment parameter, the current geographic location information, and the current date information, specifically, a binding relationship between the geographic location information, the date information, and the adjustment coefficient is preset, and then the adjustment coefficient corresponding to the current geographic location information and the current date information is determined according to the binding relationship.

The adjustment coefficient in the embodiment of the present invention is 1 or 0, if adjustment is required, the adjustment coefficient is 1, and if adjustment is not required, the adjustment coefficient is 0.

For example, the geographical location information is the north China area, the date information is the winter, and since the north China area is cold and dry in winter and is accompanied by strong wind, the humidity and the air speed need to be adjusted, the humidity adjustment coefficient is 1, the air speed adjustment coefficient is 1, and the temperature adjustment coefficient is 0.

Assuming that the adjustment function is f (α 1, α 2, α 3), the comfort adjustment value is

The comfort level adjustment value is used to adjust the PMV value, which is Δ PMV + Δ after adjustment.

Fig. 6 is a schematic diagram of a complete flow of a method for adjusting a PMV value according to an embodiment of the present invention.

S600, responding to a command of a user for adjusting the PMV value;

s601, acquiring current geographical position information and current date information;

s602, determining a human body comfortable temperature parameter, a human body comfortable humidity parameter and a human body comfortable air flow rate parameter according to the current geographical position information and the current date information;

s603, acquiring a current temperature parameter, a current humidity parameter and a current air flow rate parameter;

s604, determining a temperature adjusting function, a humidity adjusting function and an air flow rate adjusting function according to the human body comfortable temperature parameter, the human body comfortable humidity parameter, the human body comfortable air flow rate parameter, the current temperature parameter, the current humidity parameter and the current air flow rate parameter;

s605, determining a temperature adjusting coefficient, a humidity adjusting coefficient and an air flow rate adjusting coefficient according to the current geographical position information and the current date information;

s606, determining a comfort degree adjusting value according to the temperature adjusting function, the humidity adjusting function, the air flow rate adjusting function, the temperature adjusting coefficient, the humidity adjusting coefficient and the air flow rate adjusting coefficient;

s607, adjusting the PMV value using the determined comfort adjustment value.

The above is an explanation of adjusting the PMV value using the geographical location information and the climate information reflected by time, and in addition, the PMV value may be recalculated using the geographical location information and the outdoor temperature parameter, and then the recalculated PMV value may be used as the final PMV value, or the recalculated PMV value may be adjusted using the method for adjusting the PMV value given above, and the adjusted PMV value may be used as the final PMV value.

A description is given below of how to recalculate the PMV value using the geographical location information and the outdoor temperature parameter.

Fig. 7 is a schematic flow chart of a method for calculating a PMV value according to an embodiment of the present invention.

S700, determining indoor somatosensory temperature parameters according to the collected indoor temperature parameters, indoor relative humidity parameters and indoor air flow rate parameters.

In implementation, the PMV value may be calculated in response to a user instruction to adjust the thermal comfort level prior to calculating the PMV value.

Instead of calculating the PMV value in response to a user instruction to adjust the thermal comfort level, the calculation may be performed periodically, such as once every 2 minutes.

In the smart home system, indoor environment data, i.e., indoor temperature, indoor relative humidity, and indoor air flow rate, may be collected using indoor air-related devices (air conditioner, fresh air machine) or separate air detection devices.

The collected indoor environment data may be collected by one sensor, or may be an average value of data collected by a plurality of sensors in order to make the obtained indoor environment data more accurate.

For example, the indoor temperature parameter may be acquired by one indoor temperature sensor, or may be an average value of a plurality of temperature parameters acquired by a plurality of indoor temperature sensors located at different positions, that is, an indoor average temperature value.

After the indoor temperature parameter, the indoor relative humidity parameter and the indoor air flow rate parameter are determined, the indoor sensible temperature parameter is determined according to the indoor temperature parameter, the indoor relative humidity parameter and the indoor air flow rate parameter.

Specifically, if the indoor temperature parameter is within a set temperature interval, or the indoor temperature parameter is within a set temperature interval, and the indoor relative humidity parameter is within a set humidity interval, the indoor sensible temperature parameter is determined according to the weighted sum of the indoor temperature parameter, the indoor relative humidity parameter, and the indoor air flow rate parameter.

First, the sensible temperature will be briefly described.

The sensible temperature is a temperature sensation that a human feels cold and warm, and is a concept of representing human body sensation in contrast to an ambient temperature. The body sensing temperature theory is established based on a human body adaptability theory, the influence of 3 adjustable factors of indoor temperature, indoor relative humidity and indoor air flow rate on the body sensing temperature is considered from the actual indoor environment, and the following expression is established:

T_g＝f(T_a,T_u,T_v)

wherein, T_gBody-sensory temperature, T_aIs the indoor temperature, T_uIs the indoor relative humidity, T_vIs the indoor air flow rate.

In an indoor environment, the indoor temperature is a main influence factor of the sensible temperature, and influences the heat loss speed of a human body so as to influence the heat sensation of the human body;

the indoor air flow rate is generally recommended to be set below 0.2m/s, and the influence on the human body perspiration is small;

the indoor air flow rate has no significant effect on the PMV value, so the effect of the indoor air flow rate on the sensible temperature is negligible, i.e. T_v＝0。

Indoor relative humidity has certain influence on body sensing temperature, and when the environmental temperature is higher, the perspiration of a human body is influenced by the increase of the humidity, so that the heat sensation of the human body is intensified; under low temperature conditions, high humidity can cause a person to feel cool, thereby exacerbating the cold sensation.

The adjustable range of the humidifying equipment arranged in the room is 30-80%.

According to the analysis, on the basis of the change of the indoor temperature, according to the influence of the indoor temperature and the indoor relative humidity on the sensible temperature, an indoor sensible temperature calculation formula can be constructed:

when the temperature is less than or equal to 27 ℃ T_aLess than or equal to 32 ℃ or T_aT is more than or equal to 77% and 26 DEG C_uWhen the content is less than or equal to 80 percent,

T_g＝k₁T_a+k₂T_u-3.94

when the temperature is less than or equal to 18 ℃ and T is less than or equal to_aNot more than 25 ℃ or T_aT is more than or equal to 30 percent and 26 DEG C_uWhen the content is less than or equal to 77 percent,

T_g＝k₁T_a+k₂T_u+k₃T_aT_u+k₄T_a ²+k₅T_u ²+k₆T_uT_a ²+k₇T_aT_u ²+k₈T_a ²T_u ²-41.321

wherein, T_gTemperature, T, felt indoors_aIs the indoor temperature, T_uIs the indoor relative humidity, k_nIs a temperature influencing factor.

It should be noted here that the temperature influencing factor is obtained by performing a large number of experiments based on measured data.

And obtaining a corresponding relation table of the indoor sensible temperature, the indoor temperature and the indoor relative humidity by a polling mode based on the indoor sensible temperature calculation formula, as shown in table 3.

TABLE 3

S701, determining an indoor comfortable temperature interval according to the outdoor temperature parameter and the current geographical position information.

After the indoor sensible temperature is determined, an indoor comfortable temperature interval needs to be determined by using the outdoor temperature parameter and the current-year geographic position information.

Firstly, determining the binding relationship of geographical position information, geographical position influence factors and geographical position influence constants, wherein the binding relationship is determined by acquiring a large amount of data and carrying out a large amount of experiments. And then determining a geographic position influence factor and a geographic position influence constant corresponding to the current geographic position information according to the binding relationship.

In order to make the binding relationship among the geographic location information, the geographic location influence factor, and the geographic location influence constant clearer, the binding relationship is presented in the form of a table below.

As shown in table 4, when the geographic position information is south, the geographic position influence factor is 0.82, the geographic position influence constant is 14.8, and when the geographic position information is north, the geographic position influence factor is 0.42, and the geographic position influence constant is 15.7.

Geographical location information	Geographical location impact factor	Geographic location impact constants
			South	0.82	14.8
North China	0.42	15.7

TABLE 4

It should be noted that the data in the table is only an example of the binding relationship, and specific values of the geographic location influence factor and the geographic location influence constant may be specifically determined in implementation, which is not limited in the embodiment of the present invention.

And after the geographical position influence factor and the geographical position influence constant corresponding to the current geographical position information are determined, converting the outdoor temperature parameter into the indoor comfortable temperature parameter by using the determined geographical position influence factor and the geographical position influence constant.

For example, with T_inIndicating indoor comfort temperature parameter, by T_outRepresenting the outdoor temperature, the geographical position influence factor by a, and the geographical position influence constant by n, the indoor comfort temperature parameter T may be represented using the following expression_in：

T_in＝a*T_out+n

And after the indoor comfortable temperature parameter is determined, determining an indoor temperature comfortable interval according to a preset temperature error.

The temperature error is obtained by acquiring a large amount of temperature data and then performing a large amount of experiments.

For example, the determined indoor comfortable temperature parameter is 23 ℃, the preset temperature error is ± 3 ℃, and the indoor temperature comfortable interval is 20-26 ℃.

The indoor temperature comfort zone may approximate the zone shown in fig. 6 based on a large amount of historical data.

As shown in fig. 8, the light color in the coordinate system indicates an indoor temperature comfort zone that is acceptable to 90% of users, and the dark color indicates an indoor temperature comfort zone that is acceptable to 80% of users.

And S702, if the body sensing temperature parameter is in the indoor comfortable temperature interval, inputting the body sensing temperature parameter serving as an indoor temperature parameter into a PMV model to obtain a PMV value.

If the determined somatosensory temperature parameter is not in the determined indoor comfortable temperature interval, the determined somatosensory temperature parameter is not in accordance with the user requirement, so that indoor environment parameters such as an indoor temperature parameter, an indoor relative humidity parameter and an indoor air flow rate parameter need to be adjusted according to the somatosensory temperature parameter.

Specifically, in the adjusting process, if the determined somatosensory temperature parameter is smaller than the minimum value of the indoor comfortable temperature interval, the somatosensory temperature parameter is too small, and the current indoor temperature parameter needs to be properly increased, the indoor relative humidity parameter needs to be decreased, and the indoor air flow rate parameter needs to be adjusted until the indoor somatosensory temperature parameter is in the comfortable temperature interval.

If the determined somatosensory temperature parameter is larger than the maximum value of the indoor comfortable temperature interval, the somatosensory temperature parameter is too large, and the current indoor temperature parameter needs to be properly reduced, the indoor relative humidity parameter needs to be increased, and the indoor air flow rate parameter needs to be increased until the indoor somatosensory temperature parameter is in the comfortable temperature interval.

Fig. 9 is a schematic view of a complete flow chart of a method for calculating a PMV value according to an embodiment of the present invention.

S900, responding to an instruction of a user for adjusting the thermal comfort level;

s901, collecting indoor temperature parameters, indoor relative humidity parameters and indoor air flow rate parameters;

s902, determining an indoor somatosensory temperature parameter according to an indoor temperature parameter, an indoor relative humidity parameter and an indoor air flow rate parameter;

s903, collecting outdoor temperature parameters and acquiring current geographical position information;

s904, determining an indoor comfortable temperature interval according to the outdoor temperature parameter and the current geographical position information;

s905, judging whether the indoor sensible temperature is in an indoor comfort level interval, if so, executing S906, otherwise, executing S909;

s906, determining current season information, and determining a human body dressing index according to the current season;

it should be noted that, here, the determination of the current season information may be determined by acquiring current date information, such as system date information of the terminal device, so as to determine that the current season is spring or summer or autumn or winter.

After the current season is determined, the human body dressing index can be determined according to the binding relationship between the season information and the human body dressing index.

As shown in table 5, the table corresponds to the binding relationship between the season information and the human body dressing index.

Season	Human body dressing index (clo)
		Spring/autumn	0.75
Summer	0.5
		In winter	1.0

TABLE 5

S907, identifying the indoor state of the user, and determining the human body metabolic rate according to the state;

the state of the user in the room is acquired, and the state of the user can be identified through the digital retina sensor, such as states of sleeping, standing, sitting and the like.

After the indoor state of the user is recognized, the human body metabolic rate corresponding to the indoor state of the user is determined according to the preset binding relationship between the indoor state of the user and the human body metabolic rate.

As shown in table 6, the table corresponds to the binding relationship between the indoor state of the user and the human body metabolic rate.

State of user in room	Human metabolic rate (met)
		Sleep mode	0.7
Reading/sitting still	1.0
		Standing up	0.2
......	......

TABLE 6

S908, inputting the human body dressing index, the human body metabolic rate, the average radiation temperature, the somatosensory temperature parameter, the indoor relative humidity parameter and the indoor air flow rate parameter into the PMV model to obtain a PMV value;

after the PMV value is output, the comfort level and comfort evaluation corresponding to the PMV value can be determined by referring to the PMV value and comfort level comparison table of table 5.

As shown in table 7, a comfort level to comfort level comparison table is provided.

Comfort level	Comfort level	Evaluation criteria
			Heat generation
	2	PMV value>1
			Heating device	1	0.5<PMV value less than or equal to 1
(Comfort)	0	The value of PMV is less than or equal to 0.5 \|
			Cool down	-1	-1<PMV value<-0.5
Cold	-2	PMV value<-1

TABLE 7

And S909, informing the decision-making module to adjust the indoor temperature parameter, the indoor relative humidity parameter and the indoor air flow rate parameter according to the indoor sensible temperature parameter, and returning to S900.

In the embodiment of the invention, because the indoor temperature parameter input into the PMV model is the indoor somatosensory temperature parameter, the indoor somatosensory temperature parameter is in the indoor comfortable temperature interval, and the indoor comfortable temperature interval is determined according to the outdoor temperature and the current geographical position information, the indoor somatosensory temperature parameter is input into the PMV model as the indoor temperature parameter, and the obtained PMV value is more in line with the thermal comfort of the user, so that the accuracy of the PMV value can be improved, and the evaluation on the thermal comfort of the user is more accurate.

Further, embodiments of the present invention also provide a computer-readable medium on which a computer program is stored, where the computer program is executed by a processor to implement the steps of any one of the methods described above.

The present application is described above with reference to block diagrams and/or flowchart illustrations of methods, apparatus (systems) and/or computer program products according to embodiments of the application. It will be understood that one block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, and/or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer and/or other programmable data processing apparatus, create means for implementing the functions/acts specified in the block diagrams and/or flowchart block or blocks.

Accordingly, the subject application may also be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.). Furthermore, the present application may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. In the context of this application, a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. An apparatus for adjusting a predicted mean vote count (PMV) value, the apparatus comprising: a collection device and a processor;

2. The device of claim 1, wherein the processor is specifically configured to:

3. The device of claim 2, wherein the processor is specifically configured to:

4. The device of claim 3, wherein the processor is specifically configured to:

5. The apparatus of claim 4, wherein the processor is specifically configured to determine the adjustment function by some or all of:

6. The apparatus of any of claims 1 to 5, wherein: the preset conditions include some or all of the following:

responding to a command of a user for adjusting the PMV value;

the obtained PMV value is out of the set range.

7. A method for adjusting a PMV value of a predicted average vote number is applied to an intelligent household appliance, and the method comprises the following steps:

8. The method of claim 7, wherein determining comfort adjustment values for characterizing different regions and different times affecting human comfort based on the current geographic location information and the current date information comprises:

determining an adjusting coefficient corresponding to the adjusting function according to the current geographical position information and the current date information;

9. The method of claim 8, wherein determining an adjustment function based on the current geographic location information, the current date information, and current environmental parameters comprises:

determining the current environmental parameter and an environmental change coefficient corresponding to the human body comfortable environmental parameter according to the binding relationship among the environmental parameter, the human body comfortable environmental parameter and the environmental change coefficient;

10. The method of claim 9, wherein the adjustment function is determined by some or all of:

11. The method of claim 10, wherein determining an adjustment factor based on the current geographic location information and the current date information comprises:

12. The method according to any one of claims 7 to 11, wherein the predetermined conditions include some or all of the following:

responding to a command of a user for adjusting the PMV value;

the obtained PMV value is out of the set range.