CN113495487A

CN113495487A - Terminal and method for adjusting operation parameters of target equipment

Info

Publication number: CN113495487A
Application number: CN202010192721.2A
Authority: CN
Inventors: 王昕�; 许丽星; 李洁
Original assignee: Hisense Co Ltd
Current assignee: Hisense Group Co Ltd; Hisense Co Ltd
Priority date: 2020-03-18
Filing date: 2020-03-18
Publication date: 2021-10-12

Abstract

The invention discloses a terminal and a method for adjusting operation parameters of target equipment, which are used for solving the problem of complex operation of improving indoor comfort and air cleanliness in a mode of adjusting indoor air equipment one by one or windowing and ventilating in the prior art. According to the terminal, the target equipment is determined according to the adjustable parameter range of the available equipment and the at least one group of control parameters determined according to the environmental standard, then the target control parameters are selected from the at least one group of control parameters according to the current running state of the target equipment and the energy consumption of the at least one group of control parameters of the target equipment running, and finally the target control parameters are used for adjusting the running parameters of the target equipment, so that the air equipment does not need to be adjusted one by one manually, the operation is quick and simple, and the time is saved.

Description

Terminal and method for adjusting operation parameters of target equipment

Technical Field

The present invention relates to the field of wireless communication technologies, and in particular, to a terminal and a method for adjusting an operating parameter of a target device.

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.

The indoor air cleanliness is the degree of indoor air pollution, is an important index for indicating environmental health and being suitable for living, and parameters influencing the indoor cleanliness include carbon dioxide, formaldehyde, PM2.5 and the like.

At present, for the method for improving the indoor comfort and the air cleanliness, the method can be changed through equipment, for example, an air conditioner can adjust the indoor temperature and humidity, a humidifier can adjust the indoor humidity, a fresh air machine and an air purifier can adjust the indoor air flow rate, and the method can be used for improving the indoor comfort and the air cleanliness and can be used for windowing and ventilation. However, the operation of improving the indoor comfort and the air cleanliness by adjusting the indoor air equipment one by one or opening windows for ventilation is cumbersome.

Disclosure of Invention

The invention provides a terminal and a method for adjusting operation parameters of target equipment, which are used for solving the problem of complex operation in the prior art that indoor comfort and air cleanliness are improved by adjusting indoor air equipment one by one or opening windows for ventilation.

In a first aspect, an embodiment of the present invention provides a terminal for adjusting an operating parameter of a target device, where the terminal includes a memory and a processor:

the memory is used for storing data or program codes used when the terminal equipment runs;

the processor is configured to execute the program code to implement the following processes:

when the parameter adjusting condition is met, determining at least one group of control parameters for adjusting different air environment parameters according to the current air environment standard; the usable air equipment of which the corresponding adjustable parameter range comprises the control parameters in the usable air equipment is taken as target equipment; selecting a control parameter from at least one group of control parameters as a target control parameter according to the current running state of the target equipment and the energy consumption of the target equipment when the target equipment runs at least one group of control parameters; adjusting an operating parameter of the target device using the target control parameter.

The terminal firstly determines at least one group of control parameters for adjusting different air environment parameters according to the current environment standard when meeting the parameter adjusting condition, then uses the usable air equipment of which the corresponding adjustable parameter range in the usable air equipment comprises the control parameters as target equipment, then selects the control parameters from the at least one group of control parameters as the target control parameters according to the current operating state of the target equipment and the energy consumption of the target equipment when the target equipment operates the at least one group of control parameters, and finally uses the target control parameters to adjust the operating parameters of the target equipment. The target equipment is determined according to the adjustable parameter range of the available equipment and at least one group of control parameters determined according to the environmental standard, then the target control parameters are selected from the at least one group of control parameters according to the current running state of the target equipment and the energy consumption of the at least one group of control parameters of the target equipment running, and finally the target control parameters are used for adjusting the running parameters of the target equipment, so that the air equipment is not required to be adjusted one by one manually, the operation is quick and simple, and the time is saved.

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

if the control parameters are cleanliness control parameters, determining at least one group of cleanliness control parameters corresponding to the first parameters exceeding the preset standard in the current room according to the corresponding relation between the first parameters influencing the indoor cleanliness and the at least one group of cleanliness control parameters; or

If the control parameters are comfort level control parameters, determining multiple groups of comfort level control parameters corresponding to multiple pieces of screening information of the current environment according to the corresponding relation between the screening information for screening the comfort level control parameters and at least one group of comfort level control parameters; inputting a second parameter which influences the indoor comfort level into the personalized preference analysis model, and outputting a group of predicted comfort level control parameters; and selecting at least one group of comfort level control parameters from the multiple groups of comfort level control parameters according to the similarity between the multiple groups of comfort level control parameters and the predicted comfort level control parameters.

The terminal can determine the cleanliness control parameter and also can determine the comfort control parameter, so that the target equipment can be adjusted according to different control parameters.

In one possible implementation, the personalized preferences analysis model is trained by:

taking a parameter which is collected historically and affects indoor thermal comfort level in a training sample as an input, taking an indoor comfort level control parameter which is set historically by a user in the training sample as an output, and training at least one model to obtain at least one trained model;

and comparing the output parameters of the at least one trained model with the indoor comfort control parameters historically set by the user in the test sample, and taking the trained model corresponding to the output parameter with the highest similarity as the personalized preference analysis model.

The terminal can train the personalized preference analysis model, and the neural network is adopted for training, so that the obtained output value of the model is more accurate.

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

and adjusting the operation parameters of the target equipment into the target control parameters by using a fuzzy control algorithm.

The terminal adjusts the operation parameters of the target equipment into the target control parameters by using the fuzzy control algorithm, so that the control parameters of the target equipment can be circularly and continuously adjusted, and the comfortable and healthy air environment is stabilized after the indoor comfort level and the health level are efficiently achieved.

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

instructions responsive to user parameter adjustments;

the indoor comfort level exceeds a preset comfort range;

the indoor air quality standard exceeds a preset standard.

According to the terminal, the operation parameters of the target equipment are adjusted when the preset conditions are met, and the operation parameters are not adjusted in real time, so that resources can be saved.

In a second aspect, an embodiment of the present invention provides a method for adjusting an operating parameter of a target device, where the method is applied to an intelligent appliance, and the method includes:

when the parameter adjusting condition is met, determining at least one group of control parameters for adjusting different air environment parameters according to the current air environment standard;

the usable air equipment of which the corresponding adjustable parameter range comprises the control parameters in the usable air equipment is taken as target equipment;

selecting a control parameter from at least one group of control parameters as a target control parameter according to the current running state of the target equipment and the energy consumption of the target equipment when the target equipment runs at least one group of control parameters;

adjusting an operating parameter of the target device using the target control parameter.

In one possible implementation, the determining at least one set of control parameters for adjusting different air environment parameters according to the current air environment standard includes:

In one possible implementation, the adjusting the operation parameter of the target device using the target control parameter includes:

instructions responsive to user parameter adjustments;

the indoor comfort level exceeds a preset comfort range;

the indoor air quality standard exceeds a preset standard.

In a third aspect, the present application further provides a computer storage medium having a computer program stored thereon, where the computer program is executed by a processing unit to implement the step of adjusting the operating parameter of the target device according to any one of the second aspect.

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

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic structural diagram of a terminal for adjusting an operation parameter of a target device according to an embodiment of the present invention;

fig. 2 is a block diagram of a software structure of a terminal for adjusting an operation parameter of a target device according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an end user interface for adjusting operating parameters of a target device 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 flow chart of a method for adjusting an operation parameter of a target device according to an embodiment of the present invention;

FIG. 6 is a flowchart illustrating a method for obtaining a PMV value according to an embodiment of the present invention;

fig. 7 is a schematic flowchart of an iterative process of a personalized PMV model according to an embodiment of the present invention;

fig. 8 is a flowchart illustrating a method for recommending a thermal comfort parameter according to an embodiment of the present invention;

fig. 9 is a block flow diagram of an indoor air environment control method according to an embodiment of the present invention;

FIG. 10 is a flowchart of a method for calculating a PMV value according to an embodiment of the present invention;

FIG. 11 is a flow chart of another method for calculating a PMV value according to an embodiment of the present invention;

fig. 12 is a schematic flowchart of a method for adjusting an operation parameter of a target device according to an embodiment of the present invention;

fig. 13 is a flowchart illustrating a method for determining a comfort control parameter combination according to an embodiment of the present invention;

fig. 14 is a flowchart illustrating a method for determining a target device and issuing a control instruction according to an embodiment of the present invention;

FIG. 15 is a block diagram of a fuzzy control system provided in accordance with an embodiment of the present invention;

fig. 16 is a schematic flow chart illustrating the process of locally implementing intelligent control over the intelligent air devices according to the embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

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 terminal devices 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.

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.

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

The following describes an embodiment specifically by taking the terminal 100 as an example. It should be understood that the terminal 100 shown in fig. 1 is merely an example, and that the terminal 100 may have more or fewer components as shown in fig. 1, may combine two or more components, or may have a different configuration of components. The various components shown in fig. 1 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 the terminal 100 according to an exemplary embodiment is exemplarily shown in fig. 1. As shown in fig. 1, the terminal 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 for data or program codes used in the operation of the terminal 100. The processor 170 performs various functions of the terminal 100 and data processing by executing data or program codes 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 terminal 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 terminal 100, and particularly, the display unit 120 may include a touch screen 121 disposed on the front surface of the terminal 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 a Graphical User Interface (GUI) of information input by or provided to the user and various menus of the terminal 100. Specifically, the display unit 120 may include a display screen 122 disposed on the front surface of the terminal 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 cover 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 terminal 100, and the integrated 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 terminal 100 may further include at least one sensor 130, such as a temperature sensor 131, a humidity sensor 132, a wind speed sensor 133. The terminal 100 may also be configured with other sensors such as a gyroscope, barometer, infrared sensor, light sensor, motion sensor, and the like.

The audio circuitry 140, speaker 141, and microphone 142 may provide an audio interface between a user and the terminal 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 terminal 100 may also be provided 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 belongs to a short-distance wireless transmission technology, and the terminal 100 can help a user to send and receive e-mails, browse webpages, access streaming media, and the like through the Wi-Fi module 150, and provides wireless broadband internet access for the user.

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

The processor 170 is a control center of the terminal 100, connects various parts of the entire apparatus using various interfaces and lines, and performs various functions of the terminal 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 at least one set of control parameters for adjusting different air environment parameters according to the current air environment standard when the parameter adjustment condition is satisfied; the usable air equipment of which the corresponding adjustable parameter range comprises the control parameters in the usable air equipment is taken as target equipment; selecting a control parameter from at least one group of control parameters as a target control parameter according to the current running state of the target equipment and the energy consumption of the target equipment when the target equipment runs at least one group of control parameters; adjusting an operating parameter of the target device using the target control parameter.

When determining the control parameter, the processor 170 is specifically configured to:

Training a personalized preferences analysis model by:

When the operation parameter of the target device is adjusted, the processor 170 is specifically configured to:

The parameter adjustment conditions include some or all of the following:

instructions responsive to user parameter adjustments;

the indoor comfort level exceeds a preset comfort range;

the indoor air quality standard exceeds a preset standard.

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 terminal 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 terminal 100 also includes a power supply 210 (e.g., a battery) that powers 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 terminal 100 may also be configured with power buttons for powering on and off the terminal device, and locking the screen.

Fig. 2 is a block diagram of a software configuration of the terminal 100 according to the 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 function of the terminal 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 describes exemplary workflow of the terminal 100 software and hardware in connection with capturing a photo 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 terminal 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 calculating a PMV value, and the like.

Fig. 3 is a schematic diagram for illustrating a user interface on a terminal (e.g., 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 thermal comfort degree on the user interface to open the program of the indoor thermal comfort degree.

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

The thermal comfort level in the bedroom is "comfort", and the thermal comfort level in the living room is "heat". Because the thermal comfort level in the living room is 'hot', the user can adjust the operating parameters of the indoor air equipment by touching the button at the upper right corner of the comfort level display interface of the living room.

After a user touches a button for adjusting the operation parameters of indoor air equipment at the upper right corner of a display interface, a terminal firstly determines at least one group of control parameters for adjusting different air environment parameters according to the current air environment standard, takes available air equipment of which the corresponding adjustable parameter range comprises the control parameters in the available air equipment as target equipment, then selects the control parameters from at least one group of control parameters as target control parameters according to the current operation state of the target equipment and the energy consumption of the target equipment when the target equipment operates at least one group of control parameters, and finally adjusts the operation parameters of the target equipment by using the target control parameters, because the target equipment and the target control parameters can be automatically determined when the preset condition of parameter adjustment is met, the automatic adjustment of the operation parameters of the target equipment is realized, the air conditioner meets the preset standard, so that the operation parameters of the air equipment do not need to be manually adjusted one by one, and the operation is quick and simple.

The following describes a method for adjusting the operating parameters of a program guide device in a specific embodiment.

Referring to fig. 5, a method for adjusting an operation parameter of a target device according to an embodiment of the present invention is applied to an intelligent appliance, and the method includes:

s500, when the parameter adjusting condition is met, determining at least one group of control parameters for adjusting different air environment parameters according to the current air environment standard;

s501, using usable air equipment of which the corresponding adjustable parameter range comprises the control parameters in the usable air equipment as target equipment;

s502, selecting a control parameter from at least one group of control parameters as a target control parameter according to the current running state of the target equipment and the energy consumption of the target equipment when the target equipment runs at least one group of control parameters;

s503, adjusting the operation parameters of the target equipment by using the target control parameters.

When the preset condition of parameter adjustment is met, the target equipment and the target control parameters can be determined independently, so that the operation parameters of the target equipment can be automatically adjusted to meet the preset standard, the operation parameters of the air equipment do not need to be adjusted manually one by one, and the operation is quick and simple.

The embodiment of the invention is applied to intelligent household appliances, such as an intelligent air conditioner, an intelligent humidifier, an intelligent air purifier, an intelligent fresh air machine and the like.

In implementation, when the operation parameters of the target device are adjusted, certain preset conditions need to be met, for example, an instruction for responding to user parameter adjustment, indoor comfort level exceeding a preset comfort range, and indoor air quality exceeding a preset standard.

The indoor comfort level exceeds a preset comfort level range, for example, the indoor comfort level determined according to the current environment is 3, the preset comfort level range is (-2, 2), it indicates that the indoor comfort level exceeds the preset range, the indoor air environment needs to be adjusted, namely, the indoor air environment is adjusted by adjusting the operating parameters of indoor air equipment.

When determining the indoor comfort level, the PMV value obtained by adjusting the PMV value output by the conventional PMV model using the geographical location information and the seasonal information may be used.

Specifically, as shown in fig. 6, a schematic flow chart of a method for obtaining a PMV value according to an embodiment of the present invention is shown.

S600, responding to an instruction of a user for acquiring a 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;

and S607, adjusting the PMV value by using the determined comfort level adjusting value to obtain the adjusted PMV value.

The indoor cleanliness exceeds a preset standard, for example, the detected indoor formaldehyde concentration is 0.2mg/m³The predetermined standard is 0.1mg/m³The indoor air environment needs to be adjusted, that is, the indoor air environment is adjusted by adjusting the operation parameters of the indoor air equipment.

And if the indoor comfort degree is judged to exceed the preset comfort degree range, determining at least one group of control parameters for adjusting different air environment parameters as comfort degree control parameters, and if the indoor cleanliness degree is judged to exceed the preset standard, determining at least one group of control parameters for adjusting different air environment parameters as cleanliness control parameters.

The comfort control parameter and comfort control parameter are explained separately below.

It should be noted that, since the air environment parameters generally include temperature, humidity and air flow rate, and the control parameters are used for adjusting different air environment parameters, the control parameters may be temperature, humidity and wind speed.

For the cleanliness control parameter, typically wind speed, the comfort control parameter is part or all of temperature, humidity and wind speed.

Firstly, the control parameter is a cleanliness control parameter.

Before determining the cleanliness control parameters, the corresponding relationship between the first parameter affecting the indoor cleanliness and at least one set of cleanliness control parameters, that is, the corresponding relationship between the first parameter and at least one set of wind speeds, may be preset according to the indoor air quality standard.

For example, the formaldehyde concentration is 0.2mg/m³The corresponding wind speed is 0.25 m/s.

As another example, the formaldehyde concentration is 0.2mg/m³The corresponding wind speeds are 0.25m/s, 0.3m/s, 0.35 m/s.

Of course, the control parameter corresponding to the first parameter affecting cleanliness may be in a range, such as 0.25m/s to 0.35m/s, in addition to one or more of the above.

It should be noted here that a parameter can also be understood as a set of parameters.

When the indoor cleanliness exceeds a preset standard, determining whether cleanliness equipment is online or not according to the corresponding relation between the first parameter influencing the indoor cleanliness and the at least one group of cleanliness control parameters, namely determining the usable cleanliness equipment, such as an air purifier, a fresh air fan and the like, and if the usable cleanliness equipment is unavailable, giving an alarm when the equipment is not online to indicate a user to check the state of the cleanliness equipment; if the cleanliness equipment is available, it is determined which cleanliness equipment is specifically used to adjust the air environment. The determined cleanliness equipment is referred to herein as target equipment.

The corresponding relationship between each cleaning device and the adjustable parameters is preset before the target device is determined. For a cleaning device, the adjustable parameter may be wind speed. The corresponding relationship between the cleaning device and the wind speed range is presented below in the form of a table.

As shown in table 1, is the correspondence between the cleanliness equipment and the adjustable parameters.

TABLE 1

Table 1 shows the correspondence between each cleaning device and the range of wind speeds, but the available cleaning devices may be some or all of table 1, so it is also necessary to determine the available cleaning devices.

For example, the determined usable cleaning devices are the air purifier 2 and the fresh air fan 1, as can be seen from table 1, the air speed range of the air purifier 2 is 0-2 m/s, the air speed adjusting range of the fresh air fan 1 is 0-5 m/s, the determined cleanliness control parameter is 3m/s, and the fresh air fan 1 is taken as a target device because the cleanliness control parameter 3m/s is within the air speed range of the fresh air fan 1. As only one cleanliness control parameter is 3m/s, 3m/s is taken as a target cleanliness control parameter, and finally the wind speed of the new fan 1 is adjusted to be 3 m/s.

For another example, the determined cleanliness control parameters are 3m/s, 3.5m/s and 4m/s, if the current operation state of the new fan 1 is 2.5m/s, the energy consumption of the new fan 1 when the new fan operates at 3m/s, 3.5m/s and 4m/s is compared with the energy consumption of the new fan 1 when the new fan operates at 2.5m/s, and the minimum difference is the energy consumption of the new fan 1 when the new fan operates at 3m/s, the 3m/s is determined as the target control parameter, and finally the wind speed of the new fan 1 is adjusted to be 3 m/s.

And secondly, the control parameter is a comfort control parameter.

First, the corresponding relationship between the information such as geographical location information, season, user age information, and user status in a certain mode (such as a comfort mode) and the temperature range, humidity range, and air flow rate range is preset.

Here, the geographical location information is, for example, south, north; season, spring, summer, autumn and winter, the determination of the season can be determined by the time on the terminal; the user age information is used for determining which type of user the user belongs to, such as the old, the young, children and the like; user status information such as sleeping, walking, reading books, etc.

It should be noted that the preset correspondence relationship is obtained through a large number of experiments.

In the following, the correspondence between the season, the temperature range, the humidity range, and the air flow rate range in the comfort mode when the region is north is taken as an example, and the correspondence is briefly described in the form of a table.

Season	Temperature range (. degree.C.)	Humidity range (%)	Air flow velocity range (m/s)
				Spring	25～26	50～60	0.2
Summer	26～27	40～49	0.3
				Autumn	25.5～26.5	50～65	0.25
In winter	26.5～27.5	50～55	0.2

TABLE 2

Firstly, determining the content of a current mode, such as a comfort mode, and then collecting information such as geographic position information, seasons, user age information, user states and the like as screening information to screen comfort control parameters.

For example, if the collected geographical position information is north, the season is winter, the user is an old person, and the user state is walking, at least one set of comfort level control parameters is screened according to the preset corresponding relation.

And after the comfort control parameters are screened out, inputting second parameters influencing the indoor comfort into the personalized preference analysis model to obtain a group of predicted comfort control parameters.

Wherein the second parameter affecting the indoor comfort may include geographical location information, time, an indoor temperature parameter, an indoor humidity parameter, an indoor air flow rate parameter, an outdoor temperature parameter, an outdoor humidity parameter, etc.

The personalized preference analysis model can be obtained by taking historically collected parameters influencing indoor thermal comfort as input and taking indoor comfort control parameters historically set by a user as output to train a neural network. The neural network here may be a BP neural network.

In implementation, the parameters affecting the indoor thermal comfort level may include human metabolic capacity, clothing thermal resistance, indoor air temperature, indoor air humidity, indoor air flow rate, average radiation temperature, user age, user weight, outdoor air temperature, outdoor air humidity, recording time, current season, 13 input characteristics of current geographical location information, and the output parameters are indoor comfort level control parameters historically set by the user, such as temperature, humidity, and wind speed.

In the using process of the personalized preference analysis model, in order to obtain more accurate prediction control parameters, iteration can be continuously updated.

Fig. 7 shows a specific iterative process of the personalized taste analysis model, and fig. 7 is a schematic flow chart of an iterative process of the personalized PMV model according to an embodiment of the present invention.

S700, evaluating whether the indoor environment reaches a comfortable state by utilizing the PMV value output by the personalized PMV model of the current version;

s701, judging whether a user adjusts a set value, if so, executing S702, otherwise, executing S703;

s702, replacing parameters in the effective data set by the adjusted setting parameters;

s703, judging whether a model iteration cycle is reached, if so, executing S704, otherwise, executing S701;

s704, retraining the personalized PMV model by using the new effective data set;

s705, judging whether the F1 score of the new personalized PMV model is higher than the F1 score of the previous version, if so, executing S706, otherwise, executing S701;

and S706, storing the new personalized PMV model.

Fig. 8 is a flowchart illustrating a method for recommending a thermal comfort parameter according to an embodiment of the present invention.

S800, collecting model input parameters such as geographic position information, current time, outdoor air environment parameters, indoor air environment parameters, user age, weight, activity state, dressing index and the like;

s801, inputting the input parameters into the trained PMV model, and outputting a PMV value;

s802, determining a temperature range, a humidity range and an air flow rate range corresponding to the output PMV value according to the corresponding relationship between the PMV value and the temperature range, the corresponding relationship between the PMV value and the humidity range and the corresponding relationship between the PMV value and the air flow rate range;

s803, selecting the temperature with the minimum difference value with the current temperature from the determined temperature range, selecting the humidity with the minimum difference value with the current humidity from the humidity range, and selecting the wind speed with the minimum difference value with the current air flow rate from the air flow rate range;

and S804, taking the selected temperature, humidity and air flow rate as recommended thermal comfort parameters.

After the predicted comfort level control parameters are determined, at least one set of comfort level control parameters is selected from multiple sets of comfort level control parameters according to the similarity between the multiple sets of comfort level control parameters and the predicted comfort level control parameters in the multiple sets of comfort level control parameters screened by the screening information.

The specific selection mode is that the similarity of a plurality of groups of comfort level control parameters and the predicted comfort level control parameters is compared, and at least one group of comfort level control parameters with the similarity exceeding a threshold value is selected.

After at least one group of comfort control parameters with the similarity exceeding the threshold value is selected, usable air equipment is determined, and then the air equipment with at least one group of comfort control parameters within the adjustable parameter range is selected from the preset adjustable parameter range corresponding to the usable air equipment.

For example, the usable air equipment comprises an air conditioner 1, an air conditioner 2, a humidifier and a fresh air machine, the temperature adjustable range of the air conditioner 1 is 16-31 ℃, the temperature adjustable range of the air conditioner 2 is 16-29 ℃, the humidity adjustable range of the humidifier is 30-80%, the wind speed adjusting range of the fresh air machine is 0-5 m/s, the two groups of determined comfort level control parameters are (30 ℃, 40%, 0.25m/s), (31 ℃, 50%, 0.4m/s), and the air conditioner 1 is taken as target equipment because the temperatures of 30 ℃ and 31 ℃ are within the temperature adjusting range of the air conditioner 1; when the humidity is 40% and 50% in the adjustable range of the humidity of the humidifier, the humidifier is also used as target equipment; the wind speeds of 0.25m/s and 0.4m/s are both in the wind speed adjusting range of the new fan, and the new fan is also used as target equipment.

Therefore, the target devices in the embodiment of the present invention may be multiple, and each target device corresponds to one or more target control parameters.

And after the target equipment is determined, selecting the control parameters from at least one group of control parameters as the target control parameters according to the current operation state of the target equipment and the energy consumption of the target equipment when the target equipment operates at least one group of control parameters.

The following is an example of a target device.

For example, the target device is an air conditioner, the current operating state of the air conditioner is 28 ℃, the two sets of comfort control parameters are determined to be (30 ℃, 40%, 0.25m/s), (31 ℃, 50%, 0.4m/s), the energy consumption of the air conditioner when the air conditioner operates at 3m/s and 28 ℃ is compared with the energy consumption of the air conditioner when the air conditioner operates at 30 ℃ and 31 ℃, the minimum difference is the energy consumption of the air conditioner when the air conditioner operates at 30 ℃, the 30 ℃ is taken as the target control parameter, and finally the temperature of the air conditioner is adjusted to be 30 ℃.

When the target control parameters are used for conditioning the operation parameters of the target equipment, the fuzzy control algorithm is used for adjusting, the control parameters of the air equipment are adjusted circularly and continuously, and the comfortable and healthy air environment is stabilized after the indoor comfort level and the health level are efficiently achieved.

The present invention will be described below with reference to specific examples.

Example 1:

fig. 9 is a general flow chart diagram of an indoor air environment control method.

As can be seen from fig. 9, the flow chart of the indoor air environment control method according to the embodiment of the present invention may include a data portion collected by the intelligent terminal, a third-party data portion, a smart air service portion, and an air device portion. The intelligent air service part comprises an individualized comfortable preference analysis model, a cleanliness model, a comfort degree model, a multi-dimensional intelligent control module and an equipment management module.

The details of each part in the block diagram are explained below.

The method comprises the steps of firstly, collecting data by an intelligent terminal.

The smart terminal portion may include a quad constant controller, a smart phone, and a digital retinal sensor.

The four constant temperature controllers are used for adjusting specific parameters such as PMV grade, indoor temperature, indoor humidity and indoor wind speed gear, and provided with five-in-one sensors for collecting temperature, humidity, PM2.5, carbon dioxide and formaldehyde; the smart phone can set user information such as home address, gender, age and the like through the APP installed on the smart phone, and can adjust specific parameters such as PMV grade, indoor temperature, indoor humidity, indoor wind speed gear and the like; the digital retina sensor can be used for identifying a user and the user behavior, for example, the user attribute is old people, children or young people, and the user behavior is sleeping, walking, reading books and the like.

Second, third party data section.

The third-party data can obtain data such as weather forecast, region, solar terms, air quality and the like through a webpage, and can also be sensing data acquired by a sensor of air equipment, such as temperature and humidity acquired by an intelligent air conditioner, humidity acquired by an intelligent humidifier and wind speed acquired by an intelligent fresh air fan.

And thirdly, analyzing the personalized comfortable preference.

The method comprises the steps of establishing a personalized hobby analysis model, establishing a training sample according to collected data, constructing a user personalized comfortable hobby analysis model by screening a proper machine learning method, and recommending PMV (Power management v) grade, temperature, humidity and air speed meeting the preference of a user according to the current time, the current indoor environment and the current outdoor environment of the current user, wherein the parameter setting is called prediction.

The collected data here are data set by the user collected by the controller and the mobile phone APP, user identification and behavior identification results collected by the digital retina sensor, and data such as indoor temperature, indoor humidity, indoor air flow rate, outdoor temperature, outdoor humidity and the like collected by the sensor of the air equipment.

The established training sample takes the indoor temperature, the indoor humidity, the indoor air flow rate, the outdoor temperature, the outdoor humidity, the user identification result, the user behavior identification result, the region and the season as input, and takes the PMV grade, the temperature, the humidity and the air speed set by the user as output.

In the implementation of the machine learning method, such as algorithms such as KNN, SVM, BP neural network, etc., each algorithm may be used to construct a model, and which algorithm is used may be determined according to the accuracy of the predicted user setting value output by each model.

Here, in training a model, the acquired data is divided into a training sample for training the model and a test sample for testing the output parameters of the trained model, the output parameters of each trained model are compared with the output data in the test sample, and the trained model corresponding to the output data of the trained model closest to the output data in the training sample is used as the target model.

Fourthly, a comfort model.

Based on the PMV model, by combining factors such as regions and seasons, multi-scene intelligent modes such as family-wide enjoying, old people quiet enjoying, children enjoying, comfortable sports and the like are subdivided aiming at different user groups and different motion states, the corresponding PMV grade and the corresponding parameter ranges of temperature, humidity and wind speed under each intelligent mode are obtained according to a large amount of data and experiments, and the wind speed range is used as a common parameter of air equipment operation, namely the parameter of the air equipment during operation is in the wind speed range.

According to the indoor temperature, the indoor humidity, the indoor air flow rate and other sensing data collected by the air equipment, the PMV model is used for evaluating the indoor air environment comfort level in real time, if the indoor air environment comfort level is not accordant with the user expected value, an abnormal warning is sent out, and the multidimensional intelligent control module is informed to adjust the operation parameters of the air equipment.

And fifthly, a cleanliness model.

The method is characterized in that the indoor air quality standard is used as a reference, three air quality factors of formaldehyde, carbon dioxide and PM2.5 are used as evaluation indexes, the equipment sensing data of air equipment (an intelligent fresh air fan, an intelligent air purifier, a four-constant controller and the like) is collected, and the indoor air quality is monitored in real time. Each air quality factor has a threshold, and if the concentration of the acquired air quality factor exceeds the threshold, the cleanliness is judged to be abnormal.

And if the cleanliness is abnormal, an abnormal warning is sent out, and the multidimensional intelligent control module is informed to adjust the equipment.

And sixthly, a multi-dimensional intelligent control module.

1. And when the multi-dimensional intelligent control module receives the predicted setting parameters input by the personalized comfortable preference analysis model, recalculating the setting parameters of the temperature, the humidity and the wind speed meeting the requirements of the user according to the operating parameters of the air equipment and the current data acquired by the air equipment, adjusting the parameters based on a fuzzy control algorithm, and controlling the equipment.

2. When the multi-dimensional intelligent control module receives the abnormal alarm of the comfort model, the setting parameters of the temperature, the humidity and the wind speed meeting the requirements of a user are recalculated according to the operating parameters of the air equipment and the current data collected by the air equipment, parameter adjustment is carried out based on a fuzzy control algorithm, and equipment control is carried out.

3. When the multidimensional intelligent control module receives the abnormal alarm of the cleanliness model, the intelligent fresh air machine and the intelligent air purifier are controlled to achieve the cleanliness reaching the standard. Because the wind speed, the outdoor weather condition and the air quality of the intelligent fresh air machine and the intelligent air purifier can influence the indoor comfort level, the setting parameters of the temperature, the humidity and the wind speed which meet the requirements of users are recalculated according to the abnormal type and the cleanliness grade and according to the operation parameters of the air equipment and the current data acquired by the air equipment, and the parameters are adjusted based on a fuzzy control algorithm and the equipment is controlled.

The cleanliness grades can be classified into qualified, good and excellent, and a user can set the cleanliness grades.

The cleanliness model monitors and rates indoor air parameters (PM2.5, carbon dioxide, formaldehyde), such as indoor carbon dioxide concentration, with pollution, qualification, goodness, and goodness ratings.

When one or more air parameters are monitored to be not capable of meeting the requirement of the user cleanliness class, the system can determine which equipment is to be adjusted according to the abnormal type and the air equipment state, meanwhile, the fluctuation of the indoor air environment comfort level caused by the air equipment adjustment is considered, and the system can recalculate the temperature, humidity and wind speed setting parameters meeting the user requirement, so that the indoor environment is always in the comfort level expected by the user.

For example, when a user sets the requirement of the cleanliness level in a room to be good and detects that the concentration of carbon dioxide is higher than the requirement of the good level, the system reduces the concentration of carbon dioxide by adjusting the wind speed of the intelligent fresh air fan, but the increased wind speed affects the comfort level of the indoor environment, so that the comfort level set by the user is used as a target value, and the adjustment scheme corresponding to the temperature and the humidity is recalculated under the condition that the wind speed is increased under the target value, so that the comfort level corresponding to the final temperature, humidity and wind speed setting value approaches the comfort level set by the user.

It should be noted that the indoor air flow rate can be adjusted comprehensively to the wind speed of three types of equipment, namely an air conditioner, an air purifier and a fresh air machine. When the cleanliness index is unqualified, namely, a certain item of air quality does not reach the standard, the air speed regulation is mainly performed by an air purifier and a fresh air fan, and the air conditioner is assisted; when the air quality reaches the standard, the air conditioner, the fresh air fan and the air purifier can be adjusted together by adjusting the air speed.

And seventhly, an equipment management module.

The equipment management module is used for reporting the current operation parameters of the air equipment to the multi-dimensional intelligent control module; and receiving a control command issued by the analytic multidimensional intelligent control module, and issuing the control command to each air device.

And eighthly, an air equipment part.

And each air device receives the control command issued by the device management module and adjusts the operation parameters according to the control command.

Example 2:

when the thermal comfort degree in the comfort degree model does not meet the expectation of the user, an abnormal warning is sent out, and the multi-dimensional intelligent control module is informed to adjust the operation parameters of the air equipment, wherein the thermal comfort degree value can be calculated by using a traditional PMV model, namely, the thermal comfort degree value is calculated according to environmental factors (temperature, relative humidity and air flow rate) and human factors (clothing thermal resistance and human metabolic rate), and the PMV value calculated by combining regional and seasonal factors can also be combined, and how to calculate the PMV value by combining the regional and seasonal factors is explained below.

Fig. 10 is a flowchart of a method for calculating a PMV value according to an embodiment of the present invention.

S1000, acquiring current geographical position information and current date information;

the current geographic location information can determine the region, and the current date information can determine the season.

S1001, determining a comfortable temperature parameter, a comfortable humidity parameter and a comfortable air flow rate parameter of the human body according to the current geographical position information and the current date information;

s1002, acquiring a current temperature parameter, a current humidity parameter and a current air flow rate parameter;

s1003, 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;

s1004, 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;

s1005, 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;

and S1006, adjusting the PMV value by using the determined comfort level adjustment value, and taking the adjusted PMV value as a final PMV value.

Example 3:

in addition to the PMV value calculated in conjunction with the region and season factors in embodiment 2, the PMV value may be calculated in conjunction with the region and outdoor temperature.

Fig. 11 is a schematic flow chart of another method for calculating a PMV value according to an embodiment of the present invention.

S1100, collecting an indoor temperature parameter, an indoor relative humidity parameter and an indoor air flow rate parameter;

s1101, determining an indoor somatosensory temperature parameter according to the indoor temperature parameter, the indoor relative humidity parameter and the indoor air flow rate parameter;

s1102, acquiring outdoor temperature parameters and acquiring current geographical position information;

s1103, determining an indoor comfortable temperature interval according to the outdoor temperature parameter and the current geographical position information;

s1104, judging whether the indoor sensible temperature is in an indoor comfort level interval, if so, executing S1105, and otherwise, executing S1108;

s1105, determining current season information and determining human body dressing index according to 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 3, 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 3

S1106, identifying the indoor state of the user, and determining the metabolic rate of the human body 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 4, 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 4

S1107, inputting the dressing index of the human body, the metabolic rate of the human body, the average radiation temperature, the somatosensory temperature parameter, the indoor relative humidity parameter and the indoor air flow rate parameter into a 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 5, a comfort level to comfort level comparison table is provided.

TABLE 5

And S1108, 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 somatosensory temperature parameter, and returning to S1100.

Example 4:

fig. 12 is a schematic flowchart of a method for adjusting an operating parameter of a target device according to an embodiment of the present invention.

S1200, receiving a request for adjusting indoor environment;

s1201, judging whether the automatic adjustment is carried out, if so, executing S902, otherwise, executing S909;

s1202, monitoring indoor environment parameters, such as an indoor temperature parameter, an indoor humidity parameter, an indoor air flow rate parameter, formaldehyde content, carbon dioxide content and the like;

s1203, determining that the indoor comfort level exceeds a comfort level range;

s1204, determining a comfort control parameter combination (see figure 13 for details);

s1205, determining that the indoor cleanliness exceeds a cleanliness standard;

s1206, determining a cleanliness control parameter combination;

s1207, determining target equipment and instructions (see figure 14 in detail);

s1208, issuing a control instruction to the target equipment, wherein the control instruction comprises a comfort control parameter combination and a cleanliness control parameter optimal combination;

and S1209, processing according to the user setting parameters.

Example 5:

fig. 13 is a flowchart illustrating a method for determining a comfort control parameter combination according to an embodiment of the present invention.

S1300, determining an indoor environment parameter range corresponding to the current mode;

the modes are comfort, cool, warm and the like, and each preset mode corresponds to a set of indoor environment parameter ranges, namely an indoor temperature range, an indoor humidity range and an indoor air flow speed range.

S1301, determining control combination screening conditions;

the control combination screening conditions comprise geographical position information, season information, user individual identification information, user behavior identification information and the like.

S1302, determining a control combination set A according to the corresponding relation between the preset screening conditions and the control parameter combinations;

s1303, outputting a group of prediction control parameter combinations according to a pre-trained personalized preference analysis model and the collected information such as indoor and outdoor air environment information, geographical position information, time, user information and the like as input;

and S1304, selecting a control parameter combination with similarity exceeding a threshold value with the predicted control parameter combination from the combination A.

Example 6:

fig. 14 is a schematic flow chart of a method for determining a target device and issuing a control instruction according to an embodiment of the present invention.

S1400, determining air equipment corresponding to the cleanliness control parameter and/or the comfort control parameter according to the cleanliness control parameter and/or the comfort control parameter;

s1401, judging whether the determined air equipment is online or whether a trial mark is set, if so, executing S1402, otherwise, executing S1406;

s1402, determining target equipment and control parameters corresponding to the target equipment according to the online equipment state and the power consumption of the control parameters converted from the current state to the control parameter set;

s1403, sending the control parameters corresponding to the target equipment to a fuzzy control module;

s1404, outputting a control parameter corresponding to the target equipment by the fuzzy control algorithm module;

s1405, sending a control instruction to the target device, wherein the control instruction comprises a target control parameter corresponding to the target device;

and S1406, outputting an offline warning instruction of the equipment, and prompting a user to check the equipment state.

Example 7:

fig. 15 is a block diagram of a fuzzy control system in an embodiment of the present invention.

Firstly, the difference value between the indoor environment parameter acquired by the sensor and the target control parameter is input into a fuzzy controller, the control parameter obtained through the steps of calculating a control variable, fuzzy quantization processing, fuzzy rule control, fuzzy decision and fuzzy solution is issued to target equipment, and the target equipment adjusts the indoor environment through the target equipment by using the received control parameter.

Example 8:

the implementation of the invention realizes the intelligent control of the intelligent air equipment, which can be realized locally or through a cloud platform, and the following describes the realization of the intelligent control of the intelligent air equipment locally.

The intelligent air equipment is equipment capable of adjusting indoor environment, such as an intelligent air conditioner, an intelligent humidifier, an intelligent air purifier, an intelligent fresh air machine and the like.

When the intelligent control of the intelligent equipment is realized locally, after the system is powered on, the MCU is controlled

After the initialization configuration is finished, the main Control MCU acquires surrounding wifi information through a wifi (Wireless Fidelity) module, actively connects to a router according to a stored wifi name and a password, if the connection fails, the main Control MCU is prompted on the display screen and connected to a certain router through User operation, after the main Control MCU is networked, the main Control MCU actively requests to access a cloud server (cloud platform), actively reports the state after the access is successful, if the access fails, the main Control MCU does not need to report data, and the main Control MCU is networked, and simultaneously actively searches intelligent air devices such as an intelligent air conditioner, an intelligent humidifier, an intelligent air purifier and an intelligent fresh air machine under the same network through a UDP (User Datagram Protocol) broadcasting mode, and establishes a TCP (Transmission Control Protocol), transmission control protocol) long connections. The main control MCU takes the regularly collected air sensor data, the state information reported by intelligent air equipment such as an intelligent air conditioner and the like and the parameters set by a user as input, generates a control instruction after decision processing is carried out by a comfort model algorithm, and issues the control instruction to the intelligent equipment such as the intelligent air conditioner and the like, so that intelligent control is realized. And when the main control MCU receives a shutdown instruction of the cloud platform or a shutdown instruction input by a user through the touch screen, closing all the peripheral equipment and shutting down.

Fig. 16 is a schematic flow chart illustrating the process of locally implementing intelligent control over an intelligent air device according to an embodiment of the present invention.

Fig. 16 illustrates an example of a comfort model, wherein the steps of intelligently controlling the smart air device using the cleanliness model and the personalized comfort preferences analysis model are referred to the steps of the comfort model.

S1600, electrifying the system, starting the main control MCU and carrying out initialization configuration on all peripheral equipment such as a touch screen, a display screen and a sensor;

s1601, the main control MCU initiates a request for acquiring a wifi list to the wifi module;

s1602, the wifi module returns the obtained surrounding wifi list to the main control MCU;

s1603, the main control MCU sends a wifi password corresponding to the selected network name to the wifi module according to the previously stored network name and password or the password input by the user from the touch screen;

s1604, the main control MCU sends a wifi password to the wifi module;

s1605, after the wifi module receives the wifi password, the system is distributed with a network;

s1606, the wifi module sends an access request to the cloud platform;

s1607, authenticating the access request by the cloud platform;

s1608, the cloud platform sends the message of successful authentication to the main control MCU;

s1609, the main control MCU sends a request for obtaining the mode and the outdoor weather information to the cloud platform;

s1610, the cloud platform returns mode and outdoor weather information to the master control MCU;

s1611, the main control MCU sends a command for collecting sensing data at regular time to the sensor;

s1612, the sensor sends the regularly acquired sensing data to a main control MCU;

s1613, the main control MCU sends the timing acquisition equipment state data to the online intelligent air equipment;

it should be noted that the device status data may include temperature, humidity and wind speed parameters set on the device.

S1614, the online intelligent air equipment returns the equipment state data acquired at regular time to the main control MCU;

s1615, analyzing the mode, outdoor weather information, sensing data, equipment state data and other information by the master control MCU, processing the information through a comfort level model and a decision module, and outputting comfort level parameters and control instructions;

s1616, the master control MCU reports the output comfort level parameters to the cloud platform, and the cloud platform records the comfort level parameters;

it should be noted that the comfort level parameters received by the cloud platform may form user data, and some background analysis may be performed.

S1617, the main control MCU issues control instructions corresponding to the output parameters to each intelligent air device;

s1618, each intelligent air device reports the current state to a main control MCU;

s1619, the cloud platform sends a shutdown instruction to the master control MCU;

s1620, the main control MCU sends a closing instruction to the intelligent air equipment;

s1621, shutting down the system.

The whole information acquisition, decision and control process is continuously and repeatedly carried out until a service closing or shutdown instruction is received.

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. A terminal for adjusting an operating parameter of a target device, the terminal comprising a memory and a processor:

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

3. The terminal of claim 2, wherein the personalized preferences analysis model is trained by:

4. The terminal of claim 1, wherein the processor is further specifically configured to:

5. A terminal as claimed in any one of claims 1 to 4, wherein the parameter adjustment conditions include some or all of:

instructions responsive to user parameter adjustments;

the indoor comfort level exceeds a preset comfort range;

the indoor air quality standard exceeds a preset standard.

6. A method for adjusting operation parameters of a target device is applied to an intelligent household appliance, and the method comprises the following steps:

7. The method of claim 6, wherein determining at least one set of control parameters for adjusting different air environment parameters based on current air environment criteria comprises:

8. The method of claim 7, wherein the personalized preferences analysis model is trained by:

9. The method of claim 6, wherein said using said target control parameter to adjust an operating parameter of said target device comprises:

10. The method of any of claims 6 to 9, wherein the parameter adjustment conditions include some or all of:

instructions responsive to user parameter adjustments;

the indoor comfort level exceeds a preset comfort range;

the indoor air quality standard exceeds a preset standard.